Field Of Graphics Research Articles

3D Indoor Scene Synthesis System Based on Collaborative Retrieval

In order to solve the research problem of collaborative retrieval 3D indoor scene synthesis system, an automatic synthesis method of 3D indoor scene is proposed. In the research fields of computer graphics and computer vision, the modeling of various 3D scenes has always been a hot spot and a very valuable research topic for Chinese and foreign scholars. GMM is used to fit the position of the object on the support surface, and the position distribution model is obtained. Firstly, a file is created to store the normalized position of the counted object on the support surface. The number of coordinates represents the number of times the object appears in the scene library. Then, the Gaussian mixture model is used to fit the content of the file to obtain the location distribution model. For the initial indoor scene and the description of small objects to be added to the scene given by the user, select small objects with the help of the material library. Shapenetcorcv2 is the core part of the database, with a total of 55 categories and more than 50000 model instances. The automatic placement of these small objects is realized by using the scene synthesis algorithm, which shows the continuous enrichment of the evolution process of simple scenes to solve various problems of 3D indoor scene modeling. This method not only reflects the design requirements of users but also avoids cumbersome manual operation.

ORCANet: Differentiable multi‐parameter learning for crowd simulation

AbstractRealistic crowd simulation has always been an important research field in computer graphics. While both agent‐based motion models and data‐driven behavior models have made some progress, they are still suffering from either huge effort of multi‐parameter tuning or limited realistic motion. In this article, we propose a novel and differentiable multi‐parameter learning method for crowd simulation, which is called ORCANet. The main idea is to learn from real data and inverse evaluating the multi‐parameter for subsequent simulation. ORCANet uses classic optimal reciprocal collision avoidance (ORCA) as a basic motion model which is integrated into the deep learning framework. Addressing the feature of linear programming and non‐differentiable operation, a Gaussian kernel is added to approximate the role of neighbor distance in collision avoidance, which turns the original discrete operation into a fully differentiable forward simulation. Furthermore, we leverage ORCANet to optimize the multi‐parameter combination in synthetic and real‐world datasets. ORCANet is proved to rapidly converge to correct parameter values and regenerate the input synthetic sequence. Moreover, experiments on real‐world datasets by the metric of pedestrian trajectories verified that a more realistic crowd simulation has been generated through ORCANet.

From the archives: the origins of a society and a journal for the field of molecular graphics and modelling

From the archives: the origins of a society and a journal for the field of molecular graphics and modelling

PRODUCTION ORGANIZATION OF GRAPHICS PRODUCT

Computer graphics is developing dynamically in various spheres of human life. Paying attention to the high dynamism of the world around us, the issue of optimizing the process of video, animation, character, advertising, avatar, etc. creation is becoming increasingly important. The graphic product requires the fastest production process without paying attention to the fact that it is a development of a feature film, a commercial project of various scales or a project of 10 frames. The analysis of the main achievements of specialists in the field of computer graphics revealed different approaches to the organization of graphic projects. In specialist’s works, attention is paid to the principles of graphic conveyors of major studios and film companies. The purpose of this work is to present recommendations for the organization of the process of developing a short video series by one person, taking into account the automation of the relevant stages of work, on the example of a video of social advertising. To implement this task, the scheme of the project workflow was proposed, where the main stages of creating graphic content are marked, the relevant software and selected parts of the workflow such as preproduction, production and postproduction. The following software tools were selected for the project implementation: Z-Brush, Blender, Autodesk Maya, Adobe After Effects. The analysis of the development algorithm showed the critical points of the scheme, which reduce the speed of the project. To avoid this, it was proposed the technique of "pipeline". As a result of research the methodologies of the graphics pipeline organization was raised, and the beneficial effects of reliable workflow management were illustrated. A visual and detailed form of presentation of the creating a graphic product stages using the "pipeline" technique will help increase the level of knowledge among beginners.

WebGPU를 이용한 AES 알고리즘 가속화

Modern web browsers use HTML5 to implement native web applications. However, it is hard to directly utilize the GPU for general-purpose computation in a web browser. Even though standard technologies such as WebGL and WebCL are applicable to use the GPU in a web browser, they can be applied only in the 3D graphics field or cannot due to the discontinuation of development. Recently major web browser vendors are developing a WebGPU standard for general-purpose computation. This paper presents a method to implement a Web application, including general-purpose computing, with WebGPU and SPIR-V. The computation-communication overlap technique is also applied to improve the overall performance. Experimental results showed that the web application performance using WebGPU increases as the size of encrypted data increases. It showed that WebGPU-based parallel computing could be applicable for web applications that require high-performance computation.

Review of Subdivision Schemes and their Applications

Background: Methods of subdivision surfaces modeling and related technology research have become a hot spot in the field of Computer-Aided Design (CAD) and Computer Graphics (CG). In the early stage, research on subdivision curves and surfaces mainly focused on the relationship between the points, thereby failing to satisfy the requirements of all geometric modeling. Considering many geometric constraints is necessary to construct subdivision curves and surfaces for achieving high-quality geometric modeling. Objective: This paper aims to summarize various subdivision schemes of subdivision curves and surfaces, particularly in geometric constraints, such as points and normals. The findings help scholars to grasp the current research status of subdivision curves and surfaces better and explore their applications in geometric modeling. Methods: This paper reviews the theory and applications of subdivision schemes from four aspects. We first discuss the background and key concept of subdivision schemes and then summarize the classification of classical subdivision schemes. Next, we review the subdivision surfaces fitting and summarize new subdivision schemes under geometric constraints. Applications of subdivision surfaces are also discussed. Finally, this paper provides a brief summary and future application prospects. Results: Many research papers and patents on subdivision schemes are classified in this review paper. Remarkable developments and improvements have been achieved in analytical computations and practical applications. Conclusion: Our review shows that subdivision curves and surfaces are widely used in geometric modeling. However, some topics need to be further studied. New subdivision schemes need to be presented to meet the requirements of new practical applications.

Creating Interactive Crowds with Reinforcement Learning

The entertainment industry, as well as the field of Computer Graphics, frequently faces the issue of creating large virtual crowds that would populate a scene. One of the ways to achieve that, particularly with modern rendering techniques, is by using simulation -- this, however, is nontrivial to design and control. The main goal of my PhD work is working towards the creation of a tool enabling the creation of virtual crowds that one can interact with, and we believe the best way to that is through Multiagent Reinforcement Learning techniques. These animated crowds can then be used both in movies and video games. Especially for the latter, it is highly desirable that both the crowd as a whole, as well as the individual characters, can react to the user's input in real time.

A Personal Growth System Supporting the Sustainable Development of Students Based on Intelligent Graph Element Technology

In recent years, the sustainable development of education has become an increasing concern, and new technology characterized by intelligence has played an important role in promoting it. However, facing the endless stream of teaching platforms, learning platforms, student management platforms and learning APPs, teachers and students are tired of coping. Meanwhile, there has been a serious lack of real information about student growth, especially in the fields of electronic graphics, and audio and video materials. At present, there is no continuous student growth system that can be used over the course of their life, which is very unfavorable to their individual development. Graphic code is a technology with the potential to solve these problems; however, the existing graphic code technology suffers from clear deficiencies in the realization of a personalized student growth system that incorporates intelligence, security and sustainability. In response to this, this paper proposes a new generation of graphic code technology, namely intelligent graph element technology (IGET). Further, a new sustainable personalized student growth system model is designed based on artificial intelligence, big data analysis and intelligent graph element technologies, and the architecture and implementation of this system platform are completed. Finally, a student growth system based on intelligent code is verified through by an analysis of the results of a questionnaire survey. The research results show that, compared with the traditional student management system, the student growth system based on an intelligent graph element code has obvious advantages in convenience, intelligence, precision, security, and sustainability.

An Interactive Virtual Home Navigation System Based on Home Ontology and Commonsense Reasoning

In recent years, researchers from the fields of computer vision, language, graphics, and robotics have tackled Embodied AI research. Embodied AI can learn through interaction with the real world and virtual environments and can perform various tasks in virtual environments using virtual robots. However, many of these are one-way tasks in which the interaction is interrupted only by answering questions or requests to the user. In this research, we aim to develop a two-way interactive navigation system by introducing knowledge-based reasoning to Embodied AI research. Specifically, the system obtains guidance candidates that are difficult to identify with existing common-sense reasoning alone by reasoning with the constructed home ontology. Then, we develop a two-way interactive navigation system in which the virtual robot can guide the user to the location in the virtual home environment that the user needs while repeating multiple conversations with the user. We evaluated whether the proposed system was able to present appropriate guidance locations as candidates based on users’ speech input about their home environment. For the evaluation, we extracted the speech data from the corpus of daily conversation, the speech data created by the subject, and the correct answer data for each data and calculated the precision, recall, and F-value. As a result, the F-value was 0.47 for the evaluation data extracted from the daily conversation corpus, and the F-value was 0.49 for the evaluation data created by the subject.

The problem of classification of graphic art of anarchist periodicals of the turn of the XIX–XX centuries.

The subject of the study is the existing classification of graphic art of anarchist periodicals of the turn of the XIX–XX centuries. The object of the research is publications devoted to the problem of compiling a classification of works of graphic art of anarchism. These are the works of R. and E. Herbertov, A. Dardel, L. Litvak, J. Godard-Davant, K. Ferguson - foreign experts in the field of anarchist graphics. There are no domestic publications on this topic. The author of the article pays special attention to the similarity in approaches to the classification of different authors and the existing gaps in this field of art criticism in order to determine further prospects for the study of the issues under consideration. The scientific novelty of the work is to clarify the classification trends not systematized in Russian historiography, proposed in the literature in English, French and Spanish, on the basis of which a methodological basis for the analysis of the topic is being developed. The methods used in the work are as follows: analysis of historiography in order to identify existing approaches to the study of graphics of anarchist periodicals; comparative analysis, which allows us to compare the two main trends (according to the thematic-iconographic and figurative-thematic principle) with each other, finding further perspectives of interpretation and existing gaps. The results of the study reveal the existing tradition of classification, the authors of which promote their methods, preventing the emergence of other approaches and types of classification that can shed light not only on the image of an anarchist, but also on the peculiarities of the dialogue between anarchist graphics and the artistic avant-garde.

3D registration based on V-SLAM and application in augmented reality

Augmented reality is currently a research hotspot in the field of computer vision and computer graphics, and its applications are becoming more and more extensive. One of its key technologies is the three-dimensional registration of virtual objects. Three-dimensional registration requires accurate camera pose estimation and scene three-dimensional reconstruction. Therefore, this paper studies the 3D registration based on visual SLAM, and mainly contributes the following three aspects. (1) A dense matching method based on a depth camera is proposed, which can be well applied to scenes where the camera moves fast or rotates strongly, such as augmented reality. (2) A dense reconstruction method based on Voxel Hashing is designed, which alleviates the low computational efficiency and low precision of the existing RGB-D SLAM method. (3) A simple augmented reality system was designed to verify the effects of the registration and fusion of virtual objects. Experiments show that compared with the state-of-the-art methods, the algorithm proposed in this paper generates a more refined and smooth reconstructed model, and the virtual-real fusion effect based on this model is also more realistic.

THE INTRODUCTION OF THE STUDY OF 3D GRAPHICS IN THE EDUCATIONAL PROCESS IN INSTITUTES OF UZBEKISTAN

The article is devoted to the problems of implementing the study 3D graphics are included in the educational process at institutes in Uzbekistan, namely at the National Institute of Fine Art and Design named after Kamoliddin Bekhzod at the Department of "Applied Graphics". The article analyzes in detail the implementation of the experience of foreign institutes, and also considers the lack of highly qualified specialists in the field of 3D graphics in the country. The rapid development of technology obliges society to keep up with innovations and innovation news. In turn, the introduction of the study of 3D graphics at the National Institute of Fine Art and Design named after Kamoliddin Bekhzod will serve to train highly qualified specialists in this field. Of particular relevance is the study of transformations in the structure of science and technology in the XXI century and its impact on education in the country.

Application of Mathematical Models in Graphic Design

The article shares the practical experience in creating graphic design in the implementation of projects in the field of applied information technology. The creation of digital art is largely based on mathematical models and concepts that give a good perception of graphics, and it is scientifically justified. The STEAM approach is considered with the idea of the transdisciplinary level of integration between mathematics, graphic design and production practice in student education. For the development of projects like logo design, magazine cover and others, we use software specialized in the field of graphic design and computer graphics. For the realization of the considered projects, among which there are also awarded ones, we use CorelDRAW, Adobe InDesign and Desmos.

3D Imaging and Applications 2022 Conference Overview and Papers Program

Scientific and technological advances during the last decade in the fields of image acquisition, data processing, telecommunications, and computer graphics have contributed to the emergence of new multimedia, especially 3D digital data. Modern 3D imaging technologies allow for the acquisition of 3D and 4D (3D video) data at higher speeds, resolutions, and accuracies. With the ability to capture increasingly complex 3D/4D information, advancements have also been made in the areas of 3D data processing (e.g., filtering, reconstruction, compression). As such, 3D/4D technologies are now being used in a large variety of applications, such as medicine, forensic science, cultural heritage, manufacturing, autonomous vehicles, security, and bioinformatics. Further, with mixed reality (AR, VR, XR), 3D/4D technologies may also change the ways we work, play, and communicate with each other every day.

Design and Implementation of VR Digital Displaysystem for Tujia Mogus Dance

Virtual Reality (VR) is a research hotspot in the field of computer graphics in recent years, which is widely used. Tujia Maogusi dance is a national intangible cultural heritage of our country and the crystallization of Tujia civilization. This paper takes Tujia Maogusi dance as the research object, combining with virtual reality technology, proposes the design path of VR digital display system based on Tujia Maogusi dance, and applies this path to show the VR digital cultural performance of Tujia Maogusi dance. The research shows that the VR digital display system of Tujia Maogusi dance has certain practicality, interactivity and invasiveness, which provides a reference scheme for the live display of intangible cultural heritage in China.

Application of Automatic Analysis of Image Data Based on KD-Tree in Ray Tracing Technology

In the field of computer graphics, ray tracing technology is widely used to generate high-quality "photo-level" images. The automatic analysis of KD-Tree image data is the data structure of dividing K-dimensional database space, and it has important application in the fast search of multi-dimensional space feature vector. Based on the automatic analysis of KD-Tree image data, the reasonable and effective application in ray tracing technology can make the verisimilitude of graphics reach the leap-type change, and realize the ideal application effect.

FORMATION OF THE CREATIVE METHOD OF ARTIST IVAN MYASOEDOV

The article deals with the evolution of the creative approach of artist Ivan Myasoedov, one of the brightest representatives of arts of the early twentieth century in Ukraine. It is investigated what conceptual, stylistic, and technological influences he experienced in the fields of painting, graphics, photography, and architecture. It was found out which of the key figures in the art world were Myasoedov's role models and teachers and also whom he himself influenced as a mentor. The coloristic techniques used by the artist in his works were analyzed. Based on the field survey of the artist's house, it was established technological requirements he put into the design of the space of his studio. This research was conducted during 2020–2022 years. The work relies on the analysis of Myasoedov's works in the collections of Ukrainian museums (Poltava, Berdiansk, Kyiv, Dnipro, and Odesa). Scientific publications dedicated to the artist and his environment were studied. The materials of private archives (photos and text documents) were processed. Ivan Myasoedov's approach to drawing and coloristic underwent a noticeable evolutionary path from the beginning of his studies at the academy in 1907 to his internship in Munich in 1911. The study at the academy resulted in Ivan Myasoedov's diploma work "The Campaign of the Argonauts", which he performed in several stages by creating various options from sketches to large-format. In 1911, he was acquainted with the works of the famous German artist Franz von Stuck, a representative of the Munich Secession. Ivan repeatedly cited the painting and composition techniques of Stuck in his photographs. For Ivan Myasoedov, photography was an independent form of art. A significant part of Myasoedov's photographs was lost during a fire in 1943. Some prints on photographic paper was preserved at the National Art Museum of Ukraine. Studies of sketches and preserved works make it possible to reconstruct the color gamut of lost paintings with high probability, using their monochrome photo reproductions as a basis.

3D Point Set Registration based on Hierarchical Descriptors

Registering partial point clouds is crucial in numerous applications in the field of robotics, vision, and graphics. For arbitrary configurations, the registration problem requires an initial global alignment, which is computationally expensive and often still requires refinement. In this paper, we propose a pair-wise global registration method that combines the fast convergence made possible by global hierarchical surface descriptors with the arbitrarily fine sampling enabled by continuous surface representations. Registration is performed by matching descriptors of increasing resolution – which the continuous surfaces allow us to choose arbitrarily high – while restricting the search space according to the hierarchy. We evaluated our method on a large set of pair-wise registration problems, demonstrating very competitive registration accuracy that often makes subsequent refinement with a local method unnecessary.

Semantics-guided skeletonization of upright fruiting offshoot trees for robotic pruning

Dormant pruning for fresh market fruit trees is a relatively unexplored application of agricultural robotics for which few end-to-end systems exist. One of the biggest challenges in creating an autonomous pruning system is the need to reconstruct a model of a tree which is accurate and informative enough to be useful for deciding where to cut. One useful structure for modeling a tree is a skeleton: a 1D, lightweight representation of the geometry and the topology of a tree. This skeletonization problem is an important one within the field of computer graphics, and a number of algorithms have been specifically developed for the task of modeling trees. These skeletonization algorithms have largely addressed the problem as a geometric one. In agricultural contexts, however, the parts of the tree have distinct labels, such as the trunk, supporting branches, etc. This labeled structure is important for understanding where to prune. We introduce an algorithm which uses topological and geometric priors about Upright Fruiting Offshoot (UFO) trees to produce such a labeled skeleton. We test our skeletonization algorithm on point clouds from 29 UFO trees and, using an accuracy metric based on the number of correctly reconstructed and labeled skeleton segments, demonstrate a median construction accuracy of 70% with respect to a human-evaluated gold standard. We also make point cloud scans of 82 UFO trees open-source to other researchers. Our work represents a significant first step towards a robust tree modeling framework which can be used in an autonomous pruning system.

Evaluation and Analysis of Animation Multimedia 3D Lip Synchronization considering the Comprehensive Weighted Algorithm

The 3D lip synchronization is one of the hot topics and difficulties in the field of computer graphics. How to carry out 3D lip synchronization effectively and accurately is an important research direction in the field of multimedia. On this basis, a comprehensive weighted algorithm is introduced in this paper to sort out the related laws and the time of lip pronunciation in animation multimedia, carry out the vector weight analysis on the texts in the animation multimedia, and synthesize a matching evaluation model for 3D lip synchronization. At the same time, the goal of simultaneous evaluation can be achieved by synthesizing the transitional mouth pattern sequence between consecutive mouth patterns. The results of the simulation experiment indicate that the comprehensive weighted algorithm is effective and can support the evaluation and analysis of animation multimedia 3D lip synchronization.