Face Shape Research Articles

Utilization of HVS paper waste with collage art and paper quilling techniques as a 2-dimensional medium for hair styling in beauty education program

The accumulation of paper waste encourages the utilization of HVS paper waste with Collage and Paper Quilling Techniques as a 2-dimensional medium for hair styling learning. The purpose of this study was to understand the process of utilizing HVS paper waste with collage and paper quilling techniques as a 2-dimensional medium for hair styling learning; to explore the design and shape produced in the utilization of HVS paper waste with collage and paper quilling techniques as a 2-dimensional medium for hair styling learning; to learn the validity of 2-Dimensional media for Hair Styling Learning by utilizing HVS Paper Waste using Collage and Paper Quilling Techniques. Development research with qualitative descriptive data analysis was carried out, the process of utilizing HVS paper waste with collage and paper quilling techniques using loose scrolls and multi strips scrolls was explored. Design and shape of hair styling for 5 face shapes. Validity by 5 experts with an average of 89.33% and, the results of final product assessment by 60 students obtained an average of 92.70% based on indicators of aspects of regulation, balance, color, conformity, attractiveness. Utilization of HVS paper waste with Collage and Paper Quilling Techniques as a 2-dimensional medium for hair styling learning is declared very feasible.

High-fidelity 3D face reconstruction with multi-scale details

• We propose a novel cascaded framework to reconstruct 3D faces with subtle details. • By detaching details from the texture, we enhance the recovered geometry details. • We design a staged strategy to capture details over multiple scales. Despite tremendous success has been achieved in faithfully reconstructing face shapes from single images, recovering accurate local details still remains challenging. Previous works propose reprojection-based methods to improve the performance of detail recovering – they render a textured 3D shape into an image and make it approximate to the input during iterations. However, details from textures and shapes are mixed in the rendered image when minimizing the re-projection loss, which leads to limitations in detail recovery. To address this issue, we propose a novel 3D face reconstruction framework that 1) uses a coarse-medium-fine strategy to capture details while preserving the global shape, 2) disentangles details from the texture to enhance local accuracy, and 3) applies a phased optimization to recover details over multiple scales. Experiments demonstrate the capability of our framework to reconstruct high-fidelity face shapes with accurate, fine details.

Transportation of chemical fibers and investigation of the process of chemical fiber carding in the unit of the licker-in carding machine

In our contemporary society, the effect of the rotational speed of the licker-in and the clothing overhang and the tooth shape of the clothing on the efficiency on the disconnection of the tufts coming from the manufacturing and transporting machineries are considered. The influence of the shape of the front face of the tooth of the licker-in set on the carding efficiency is also considered. For this reason, this paper discusses the phenomenon that occurs on the verge of one tooth of the serrated set of the licker-in of the flat carding machine to reduce the static charge in the area of the licker-in, a model of fiber movement and recommendations under the conditions of an intensive carding process for processing a cotton-nitrone mixture are presented, and the results of tests of cotton -nitron yarn with different content of components and the optimal composition of the mixture is recommended. Assuming on the findings, we can say that the maximum breaking load of cotton-nitrone yarn is obtained in the range from 10 to 20% of the content of nitron fiber. In this case, unevenness at breaking load has a minimum value of about 17%.

Numerical Simulation of Tram Collision with Pedestrian

This paper is focused on the field of traffic passive safety. The main point of this research is to reduce the severity of the consequences of a collision between tramway and pedestrian. The collision scenario is based on statistical data of local research in Czech Republic. For the first assessment of influence of tram geometry, it is necessary to investigate in the numerical simulations with different shapes of tram face. For this purpose the Multibody simulations are carried. Then the detail finite element simulations are prepared. The explicit finite element code Virtual Performance solution (VPS) and human body model Virthuman where used for the simulations. The approval process and standards were prepared for trams in last years (e.g Technical Guide Tramway front-end design) and already today it is visible significant contrast with automotive industry. The main complications in design process are connected with other requirements for tram front-end construction. These requirements are from other passive and active safety field (requirement for collision tram-tram, collision tram-road vehicle, active safety eg. visibility) and from another fields (durability, design, aerodynamics). The new construction safe for pedestrian is different in more ways. Therefore it is difficult to propagate the changes in construction.

“The Clothes (and the Face) Make the Starman”: Facial and Clothing Features Shape Self-Other Matching Processes between Human Observers and a Cartoon Character

“The Clothes (and the Face) Make the Starman”: Facial and Clothing Features Shape Self-Other Matching Processes between Human Observers and a Cartoon Character

Multi-Scale Part-Based Syndrome Classification of 3D Facial Images

Identification and delineation of craniofacial characteristics support the clinical and molecular diagnosis of genetic syndromes. Deep learning (DL) frameworks for syndrome identification from 2D facial images are trained on large clinical datasets using standard convolutional neural networks for classification. In contrast, despite the increased availability of 3D scanners in clinical setups, similar frameworks remain absent for 3D facial photographs. The main challenges involve working with smaller datasets and the need for DL operations applicable to 3D geometric data. Therefore, to date, most 3D methods refrain from working across multiple syndromic groups and/or are solely based on traditional machine learning. The first contribution of this work is the use of geometric deep learning with spiral convolutions in a triplet-loss architecture. This geometric encoding (GE) learns a lower dimensional metric space from 3D facial data that is used as input to linear discriminant analysis (LDA) performing multiclass classification. Benchmarking is done against principal component analysis (PCA), a common technique in 3D facial shape analysis, and related work based on 65 distinct 3D facial landmarks as input to LDA. The second contribution of this work involves a part-based implementation to 3D facial shape analysis and multi-class syndrome classification, and this is applied to both GE and PCA. Based on 1,786 3D facial photographs of controls and individuals from 13 different syndrome classes, a five-fold cross-validation was used to investigate both contributions. Results indicate that GE performs better than PCA as input to LDA, and this especially so for more compact (lower dimensional) spaces. In addition, a part-based approach increases performance significantly for both GE and PCA, with a more significant improvement for the latter. I.e., this contribution enhances the power of the dataset. Finally, and interestingly, according to ablation studies within the part-based approach, the upper lip is the most distinguishing facial segment for classifying genetic syndromes in our dataset, which follows clinical expectation. This work stimulates an enhanced use of advanced part-based geometric deep learning methods for 3D facial imaging in clinical genetics.

AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation

In this paper, we propose a novel framework to translate a portrait photo-face into an anime appearance. Different from existing translation methods which do not designate specific styles, we aim to synthesize anime-faces which are style-consistent with a given reference anime-face. However, unlike typical translation tasks, such anime-face translation is particularly challenging due to the large and complex variations of appearances among anime-faces. Existing methods often fail to transfer the styles of reference anime-faces to the generated anime-faces, or introduce noticeable artifacts/distortions in the local shapes of their generated anime-faces. We propose a novel GAN-based anime-face translator, called AniGAN, to synthesize high-quality anime-faces. Specifically, a new generator architecture is proposed to simultaneously transfer color/texture styles and transform local facial shapes into anime-like counterparts based on the style of a reference anime-face, while preserving the global structure of the source photo-face. New normalization functions are designed for the generator to further improve local shape transformation and color/texture style transfer. Besides, we propose a double-branch discriminator to learn domain-specific distributions through individual branches and learn cross-domain shared distributions via shared layers, helping generate visually pleasing anime-faces and effectively mitigate artifacts/distortions. Extensive experiments on benchmark datasets qualitatively and quantitatively demonstrate the superiority of our method over state-of-the-art methods.

Respirators and Surgical Masks Artefacts on Phantom using Magnetic Resonance Imaging during COVID-19: A Cross-sectional Study

Introduction: It is suitable for a patient to wear a respirator or face mask during any radiological investigation during Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) pandemic. Some face masks may have nanoparticles, or antimicrobial coating, which may comprise metal to help shape the mask according to user face shape. This kind of ferromagnetic substances can cause artefacts in the image. Aim: To detect and compare the artefacts while using different types of respirators and surgical masks in the Magnetic Resonance Imaging (MRI) phantom images. Materials and Methods: This was a prospective cross-sectional study which was conducted from July 2021-September 2021. Two Not resistant to oil-based aerosols with 95% efficiency to airborne particles (N95) respirators and two types of three-ply surgical disposable masks with a metal and plastic nose holder were used. The N95 respirators were of Halo N95 Filtering Facepiece 2 Particulate Matter (FFP2) PM 2.5 and Suchi N95 S-7400, while the surgical masks were from Venus 3 ply V-1010 with a metal nose holder and the Thea Tex Filtra 3 ply with plastic nose holder. A polymethyl methacrylate plastic phantom was used with 1.5 Tesla (Siemens Magnetom Avanto) MRI scanner for imaging. Results: When exposed to the metal detector both N95 respirators and one of the surgical masks with a metal nose clip showed strong ferromagnetic attraction. Both respirators and a surgical mask with a metal nasal holder showed magnetic susceptibility artefacts. The signal loss is caused by dephasing of spins from metal strip on the image. Conclusion: All the patients must have a recognised MR safe masks prior to an MRI investigation. When this is not possible to follow, metallic components from the face mask should be removed before the patient's arrival at the MR room. After removing the metal strip from the mask, the paper tape may be applied across the nasal bridge region for adequate transmission control and to maintain the intended function of the mask. The mask with a plastic nasal holder was ideal to use in an MR environment since it doesn’t have any distortion in the image.

Design and realization of a dual-wavelength low level light therapy for acne and face rejuvenation treatment

Low-level light therapy (LLLT) uses the light of wavelength between 400–700 nm to treat acne, reduce inflammation, stimulate collagen production, and rejuvenate the facial skin. This study designed and constructed a dual-wavelength LED LLLT device for the facial treatment. The light spectrum, power density, uniformity, stability, and safety of the device were analyzed. The proposed system consisted of an LED array with 415 and 633 nm wavelengths. Human machine interface with embedded system was used to control light intensity and treatment time. The phototherapy device is designed to be curvaceously sized to suit the face shape of Asian people. The results showed that the LLLT device emitted 633±5 nm red and 415±5 nm blue light with a linear adjustable light power density of 0-18.56 mW/cm<sup>2</sup> and 0-3.70 mW/cm<sup>2</sup>, respectively. The spectrum distribution of the red and blue light was relatively constant over 30 minutes of operation. The uniformity and stability of red spectrum were about 89.9% and 95.08% and blue spectrum were 87.6% and 97.08%, respectively. The experimental face’s temperature was below 31.5 . For the future study, the LED phototherapy device will be applied for clinical research in collaboration with dermatologists.Low-level light therapy (LLLT) uses the light of wavelength between 400–700 nm to treat acne, reduce inflammation, stimulate collagen production, and rejuvenate the facial skin. This study designed and constructed a dual-wavelength LED LLLT device for the facial treatment. The light spectrum, power density, uniformity, stability, and safety of the device were analyzed. The proposed system consisted of an LED array with 415 and 633 nm wavelengths. Human machine interface with embedded system was used to control light intensity and treatment time. The phototherapy device is designed to be curvaceously sized to suit the face shape of Asian people. The results showed that the LLLT device emitted 633±5 nm red and 415±5 nm blue light with a linear adjustable light power density of 0-18.56 mW/cm<sup>2</sup> and 0-3.70 mW/cm<sup>2</sup>, respectively. The spectrum distribution of the red and blue light was relatively constant over 30 minutes of operation. The uniformity and stability of red spectrum were about 89.9% and 95.08% and blue spectrum were 87.6% and 97.08%, respectively. The experimental face’s temperature was below 31.5 . For the future study, the LED phototherapy device will be applied for clinical research in collaboration with dermatologists.

The location of the teeth in the space of the occlusal sphere of patients with different types of structure of the gnatic part of the face

Functional movements of the lower jaw occur during chewing, swallowing, and talking. These movements are considered with in three planes within certain limits. Many works of domestic and foreign researchers are devoted to the location of teeth in the interdigital space. The main theories of articulation were proposed by W.G. Bonvil (1858), F. Spee (1896), D. Monson (1917), and others. The dentoalveolar system is a closed kinematic system in which all the elements are interconnected and represent concentric circles and spheres with a single functional center. In this article, the location of the teeth in the space of the occlusal sphere on the tomograms of the patients ' heads in the lateral and axial projections is considered. It was found that in patients with brachygnatic structure of the gnatic part of the face, characterized by wide and short dental arches, the teeth in the large occlusal space were located at a lower angle to the center of the circle than in patients with mesognatic structure. In patients with dolichognathic structure, which is characterized by narrow and long dental arches, in a small occlusal space, the teeth were located at a greater angle to the center of the circle, compared to the other two types of structure. The location of the teeth at an angle characteristic of each of the types of structure of the gnatic face shape caused the severity of the compensatory sagittal and transversal curves. This circumstance determines the optimal functional dynamics of the lower jaw in the space of the occlusal sphere of the maxillofacial part of the skull. This eliminates acute and chronic occlusal trauma, normalizes the function of the masticatory muscles and joints.

Genome-wide analysis of copy number variants and normal facial variation in a large cohort of Bantu Africans.

Similarity in facial characteristics between relatives suggests a strong genetic component underlies facial variation. While there have been numerous studies of the genetics of facial abnormalities and, more recently, single nucleotide polymorphism (SNP) genome-wide association studies (GWASs) of normal facial variation, little is known about the role of genetic structural variation in determining facial shape. In a sample of Bantu African children, we found that only 9% of common copy number variants (CNVs) and 10-kb CNV analysis windows are well tagged by SNPs (r2 ≥ 0.8), indicating that associations with our internally called CNVs were not captured by previous SNP-based GWASs. Here, we present a GWAS and gene set analysis of the relationship between normal facial variation and CNVs in a sample of Bantu African children. We report the top five regions, which had p values ≤ 9.35 × 10−6 and find nominal evidence of independent CNV association (p < 0.05) in three regions previously identified in SNP-based GWASs. The CNV region with strongest association (p = 1.16 × 10−6, 55 losses and seven gains) contains NFATC1, which has been linked to facial morphogenesis and Cherubism, a syndrome involving abnormal lower facial development. Genomic loss in the region is associated with smaller average lower facial depth. Importantly, new loci identified here were not identified in a SNP-based GWAS, suggesting that CNVs are likely involved in determining facial shape variation. Given the plethora of SNP-based GWASs, calling CNVs from existing data may be a relatively inexpensive way to aid in the study of complex traits.

New Student Drug Tests at College Using Principal Component Analysis Method

Drugs are substances or illegal drugs that can endanger human life. Someone who consumes it in an inappropriate way will become dependent and even result in death. The physical characteristics of people who use drugs vary, but the more obvious characteristics are on the faces of drug users such as red eyes, stiff facial muscles, dark spots, pupils susceptible to light, sunken face shape, and dullness. The lack of physical characteristics of drug users due to similarities with other diseases makes it difficult for people to recognize them initially. However, for users whose face data has been tracked by the National Narcotics Agency, the facial data is stored in the dataset. This research was conducted with the aim of building a system that can detect and recognize prospective students whether they have ever been included in drug users recorded in the National Narcotics Agency dataset or not as one of the requirements for new student admissions to universities. The system built using the Principal Component Analysis method to process and extract images of the physical characteristics of drug users through the facial image data of drug users stored in the dataset. If the detected face has similarities with the characteristics in the dataset, it is necessary to suspect that the detected face is a drug user. The results of this study are the system is able to detect the faces of drug users using the Principal Component Analysis method with an accuracy of 90% and it is hoped that with this research the system can be one solution in helping universities as an identification effort to minimize drug use so that it can be an additional identification tool which strengthens someone detected using drugs.

Relationship between Dental Arch Width and Vertical Facial Morphology in Untreated Adults- A Retrospective Study

Early orthodontic research has focused on the link between face shape and malocclusion. Orthodontic treatment's effectiveness and stability are heavily influenced by a patient's dental and facial anatomy. An orthodontist's knowledge of arch shapes is essential since it affects the patient's treatment and future growth.&#x0D; For this study, the researchers wanted to see if there was a link between vertical face morphology and arch width, and if there was a difference in arch width between males and females. Arch width measurements (in millimetres) were utilised to determine the association.&#x0D; For both males and females, participants with the lowest mandibular plane angle had the widest arch, followed by those with the average mandibular angle and those with the highest.

Automatic Face Shape Classification Via Facial Landmark Measurements

This paper tackles the sensitive subject of face shape identification via near neutral-pose 2D images of human subjects. The possibility of extending to 3D facial models is also proposed, and would alleviate the need for the neutral stance. Accurate face shape classification serves as a vital building block of any hairstyle and eye-wear recommender system. Our approach is based on extracting relevant facial landmark measurements and passing them through a naive Bayes classifier unit in order to yield the final decision. The literature on this subject is particularly scarce owing to the very subjective nature of human face shape classification. We wish to contribute a robust and automatic system that performs this task and highlight future development directions on this matter.

Reduction Malarplasty Using Customized Surgical Stent Based on 3D Virtual Surgery, CAD/CAM, and 3D Printing Technology: Case Series.

The zygomatic bone is a structure that protrudes symmetrically on both sides of the midface and plays an important role in the overall aesthetic appearance of the face. Unlike Caucasians, the mesocephalic facial shape is predominant in Asians, and therefore, many people have a relatively laterally developed zygomatic bone. In Asians, when the zygomatic bone is excessively developed, it gives a strong and stubborn image, and aesthetically, many people want to reduce the zygomatic bone because they prefer an oval and slim face.To reduce the excessive zygomatic bone, a reduction malar- plasty through an intraoral and preauricular approach has been performed. Although reducing the zygomatic bone is not a big problem in most cases of symmetric reduction malarplasty, it is not easy to produce surgical results as intended by the surgeon in asymmetric malar patients or patients requiring a three-dimensional (3D) change of zygoma. In addition, because of the mobility of the zygoma segment, it may be difficult to drill holes and fix plate after osteotomy. Moreover, these factors can increase the possibility of malunion or nonunion.In this study, cutting guides made with the aid of 3D virtual surgery, 3D printing, and customized titanium plates manufactured with the computer-aided design/computer-aided manufacturing technology are used for 8 patients to maximize the recovery of 3D symmetry and minimize complications through accurate fixation after surgery. During the surgical procedures, screw hole drilling and osteotomy were performed using a cutting guide, and then, the malar segment was fixed by matching the premade customized plates with the predrilled holes. As a result of checking the accuracy of the surgery by superimposing the postoperative 3D cone beam computed tomography image and virtual surgery data based on the skull base, the 2 images almost overlapped and no significant differences were observed, so it was confirmed that the operation was performed exactly as planned.When using the 3D technology, it is possible to perform a more accurate surgery in patients with asymmetry due to congenital anomalies or trauma as well as simple asymmetry, so it can be concluded that using the 3D technology can overcome the limitations and disadvantages of the conventional method as in the cases in this study. The accurate prediction of soft tissue is still insufficient, and further research is needed to overcome this limitation.

Morphological Uniqueness: The Concept and Its Relationship to Indicators of Biological Quality of Human Faces from Equatorial Africa

Facial symmetry, averageness, and the level of sex-typical development of dimorphic traits are traditionally associated with various biological quality indicators and should be, therefore, preferred in mate choice. The aim of this study is to propose a concept of morphological uniqueness and uncover its possible associations to putative phenotypic cues of biological quality. In contrast to typicality expressed by averageness, morphological uniqueness quantifies the degree of possessing characteristics unique to particular groups. I employed a combination of geometric morphometric and Bayesian multiple regression to analyze 300 Cameroonian faces, while an additional 1153 faces from eight distinct populations from across four continents were used as a reference sample of the global population to calculate the morphological uniqueness of Cameroonians. I found that morphological uniqueness is positively associated with a feminine facial shape in women and negatively with morphological masculinity in men. Facial symmetry was positively associated with female faces with greater levels of uniqueness; the result for male faces was inconclusive. The faces of both sexes perceived as more attractive had lower levels of morphological uniqueness. Facial distinctiveness showed no relationship to morphological uniqueness in either sex, which indicates that morphological uniqueness and distinctiveness are two complementary approaches to studying facial typicality. In the conclusion, the evolutionary significance of the proposed concept and its potential applicability is discussed.

The persistence of remote visual semantic memory following ocular blindness

Subjects with complete ocular blindness in both eyes provide a unique opportunity to study the long-term durability of visual semantic memory. In this cross-sectional study we recruited eleven subjects who had acquired blindness for between 1 and 36 years. For comparison, we studied four subjects with congenital blindness and seventeen age- and sex-matched sighted control subjects. We administered ten forced-choice questionnaires that probed one auditory category and four visual categories, namely object shape and size; object hue and lightness; word and letter shape; and the shape and features of famous faces. Subjects with congenital blindness performed worse than controls on all visual categories, but nevertheless performed better than chance on object structure or colour, suggesting that the answers to some questions about visual properties can be derived from haptic or non-visual semantic information. Subjects with acquired blindness performed similarly to controls on all categories except for facial memory, particularly for facial features. We conclude that there is a substantial “permastore” of visual semantic memory but that facial memories are less durable, perhaps indicating that they are either less over-learned or more dependent on visual representations than other forms of visual object information.

Joint 3D facial shape reconstruction and texture completion from a single image

Recent years have witnessed significant progress in image-based 3D face reconstruction using deep convolutional neural networks. However, current reconstruction methods often perform improperly in self-occluded regions and can lead to inaccurate correspondences between a 2D input image and a 3D face template, hindering use in real applications. To address these problems, we propose a deep shape reconstruction and texture completion network, SRTC-Net, which jointly reconstructs 3D facial geometry and completes texture with correspondences from a single input face image. In SRTC-Net, we leverage the geometric cues from completed 3D texture to reconstruct detailed structures of 3D shapes. The SRTC-Net pipeline has three stages. The first introduces a correspondence network to identify pixel-wise correspondence between the input 2D image and a 3D template model, and transfers the input 2D image to a U-V texture map. Then we complete the invisible and occluded areas in the U-V texture map using an inpainting network. To get the 3D facial geometries, we predict coarse shape (U-V position maps) from the segmented face from the correspondence network using a shape network, and then refine the 3D coarse shape by regressing the U-V displacement map from the completed U-V texture map in a pixel-to-pixel way. We examine our methods on 3D reconstruction tasks as well as face frontalization and pose invariant face recognition tasks, using both in-the-lab datasets (MICC, MultiPIE) and in-the-wild datasets (CFP). The qualitative and quantitative results demonstrate the effectiveness of our methods on inferring 3D facial geometry and complete texture; they outperform or are comparable to the state-of-the-art.

The Association between Facial Morphology and Cold Pattern

Objectives: Facial diagnosis is an important part of clinical diagnosis in traditional East Asian Medicine. In this paper, using a fully automated facial shape analysis system, we show that facial morphological features are associated with cold pattern.Methods: The facial morphological features calculated from 68 facial landmarks included the angles, areas, and distances between the landmark points of each part of the face. Cold pattern severity was determined using a questionnaire and the cold pattern scores (CPS) were used for analysis. The association between facial features and CPS was calculated using Pearson's correlation coefficient and partial correlation coefficients.Results: The upper chin width and the lower chin width were negatively associated with CPS. The distance from the center point to the middle jaw and the distance from the center point to the lower jaw were negatively associated with CPS. The angle of the face outline near the ear and the angle of the chin line were positively associated with CPS. The area of the upper part of the face and the area of the face except the sensory organs were negatively associated with CPS. The number of facial morphological features that exhibited a statistically significant correlation with CPS was 37 (unadjusted).Conclusions: In this study of a Korean population, subjects with a high CPS had a more pointed chin, longer face, more angular jaw, higher eyes, and more upward corners of the mouth, and their facial sensory organs were relatively widespread.

CLINICAL IMPLICATIONS OF ANTHROPOMETRIC STUDY OF FACIAL INDEX IN FIRST YEAR MEDICAL STUDENTS OF SKIMS MEDICAL COLLEGE

Introduction:The structure of face is dependent on various attributes such as gender, ethnic background, race,climate , socioeconomic status and genetics. The facial index is the ratio of facial height (distance between Nasion and Gnathion) and maximum facial breadth(distance between two zygomatic prominences from Right zygonion to Left zygonion). Methods:A total of one hundred and twelve (112) First year medical students studying at Sheri Kashmir Institute of Medical Sciences Bemina Srinagar, Kashmir were chosen as the subjects for the present study. The study was carried out at Department of Anatomy, Sheri Kashmir Institute of Medical Sciences Bemina Srinagar Kashmir. Results:The conducted research provides important information concerning the total facial index (TFI), face shape, and facial phenotype in the adult population. The mean values of the morphological facial height and facial breadth in males were, respectively150mm and 155.5mm.while in females, respectively were: 142.5 mm and 170.0mm . Conclusion:Keeping in view the results obtained in this study we concluded that the dominant facial phenotype in the medical students of sheri Kashmir Institute of medical sciences is EuryproscopicandLeptoproscopic in male students and in male students.The results obtained may be harnessed as a reference for facial analysis that will be further useful in Orthodontics, anthropological research, forensics, genetic research and reconstructive surgery.