Sight Research Articles

Insights into the relationship between eye movements and personality traits in restricted visual fields

Previous studies have suggested behavioral patterns, such as visual attention and eye movements, relate to individual personality traits. However, these studies mainly focused on free visual tasks, and the impact of visual field restriction remains inadequately understood. The primary objective of this study is to elucidate the patterns of conscious eye movements induced by visual field restriction and to examine how these patterns relate to individual personality traits. Building on previous research, we aim to gain new insights through two behavioral experiments, unraveling the intricate relationship between visual behaviors and individual personality traits. As a result, both Experiment 1 and Experiment 2 revealed differences in eye movements during free observation and visual field restriction. Particularly, simulation results based on the analyzed data showed clear distinctions in eye movements between free observation and visual field restriction conditions. This suggests that eye movements during free observation involve a mixture of conscious and unconscious eye movements. Furthermore, we observed significant correlations between conscious eye movements and personality traits, with more pronounced effects in the visual field restriction condition used in Experiment 2 compared to Experiment 1. These analytical findings provide a novel perspective on human cognitive processes through visual perception.

SURVEY ON STABLE DIFFUSION TEXT TO IMAGE USING AI

The Fusion Nexus Text-to-Image Synthesis Initiative integrates cutting-edge Generative Adversarial Networks (GANs) with Natural Language Processing (NLP) techniques to narrow the semantic divide between textual input and visual output. Built upon the robust Stable Diffusion training paradigm, this initiative is engineered to produce immersive, true-to-life images based on descriptive text prompts. While GANs have exhibited potential in image generation, issues like mode collapse and training instability have impeded their effectiveness. The Fusion Nexus initiative circumvents these challenges by leveraging the Stable Diffusion framework, which furnishes a stable and reliable training methodology for GANs. By amalgamating recent advancements in deep learning, this project spearheads a novel approach to text-to-image synthesis. Its primary aim is to craft cohesive and highly realistic visual representations from textual descriptions, thereby bridging the gap between linguistic expression and visual perception. This ambitious undertaking marks a significant stride at the convergence of GANs and NLP, presenting a promising solution to the intricate task of text-to-image generation. Keywords: Adversarial, Diffusion, Framework, Fusion, GANs, Generation, Generation, Image, Language, Natural, NLP, Processing, Robust, Stable, Text-to-image, Training, Visuals.

Music with Repeated Sprint Training Impacts on Respiratory Rate and Speed Performance of Students with Visual Impairment

Visual impairment, also known as vision impairment, is a medical definition primarily measured based on an individual's better eye visual acuity; in the absence of treatment such as corrective eyewear, assistive devices, and medical treatment– visual impairment may cause the individual difficulties with normal daily tasks including reading and walking. Visual or vision impairment (VI or VIP) is the partial or total inability of visual perception. To achieve these study fifteen male students with visual impairment (b2)were selected from the, Star Special School in Coimbatore, Tamil Nadu. Their age ranged between 15 to 20 years. These subjects were gone for repeated sprint training on daily 60 minutes morning 6 to 7 am up to eight weeks. The selected respiratory rate assessed with manual method and speed performance assessed with 50 m dash. Pre and post-test data were collected and analyzed using the dependent ‘t’ test, with a confidence level set at 0.05. The findings of the study revealed significant changes in respiratory rate and improvements in speed performance intervention of repeated sprint training.

A New Distance Measurement Method for Perceptual Image Hashing

A large number of perceptual image hashing schemes have been developed in recent decades, and they usually calculated the hash distances using Euclidean distance, correlation coefficient, normalized Hamming distance, etc. These hash distances are not customized measurements for hash sequences, which are all single values. To this end, a new distance measurement method, i.e. a distance vector instead of a single value, is proposed in this paper. Since a hash sequence can be regarded as the compressed representation of image perceptual content, the correlation between images is maintained between hash sequences. In our method, the correlation between hash sequences is captured by residuals and co-occurrence matrix to form a distance vector. The correlation differences between perceptually similar and distinct images can be captured in the obtained distance vectors. Using a binary classifier, it is easy to classify the distance vectors of perceptually similar image pairs and perceptually distinct image pairs. As a result, content authentication accuracy of perceptual image hashing can be effectively increased, which is verified by experimental results.

Cognitive vision- AI automation of the surgical eye in fluorescence angiography. Correspondence

Cognitive vision- AI automation of the surgical eye in fluorescence angiography. Correspondence

Non-Traditional Factors in Debussy's Creation Take the Prelude "Voiles" as an Example

"Voiles" stands as the second piece in Debussy's "Twenty-four Piano Preludes", marking a mature stage in his musical oeuvre. Debussy, as the pioneer of Impressionism style, demonstrates remarkable innovation and personality in contrast to traditional norms. Drawing from the acoustic expressiveness evident in Impressionist piano compositions, this study begins with an exploration of the aesthetic perception of acoustic color. It intertwines this exploration with the psychological concept of "synesthesia", which links time, space and visual perception. Focusing on auditory aesthetic perception of acoustic color, this paper takes “Voiles” as the research object, and analyzes its melody, structure and acoustic characteristics from the perspective of music analysis. In this way, the sound innovation and impressionism style in Debussy's creation can be explored.

Parallel Chords: an audio-visual analytics design for parallel coordinates

AbstractOne of the commonly used visualization techniques for multivariate data is the parallel coordinates plot. It provides users with a visual overview of multivariate data and the possibility to interactively explore it. While pattern recognition is a strength of the human visual system, it is also a strength of the auditory system. Inspired by the integration of the visual and auditory perception in everyday life, we introduce an audio-visual analytics design named Parallel Chords combining both visual and auditory displays. Parallel Chords lets users explore multivariate data using both visualization and sonification through the interaction with the axes of a parallel coordinates plot. To illustrate the potential of the design, we present (1) prototypical data patterns where the sonification helps with the identification of correlations, clusters, and outliers, (2) a usage scenario showing the sonification of data from non-adjacent axes, and (3) a controlled experiment on the sensitivity thresholds of participants when distinguishing the strength of correlations. During this controlled experiment, 35 participants used three different display types, the visualization, the sonification, and the combination of these, to identify the strongest out of three correlations. The results show that all three display types enabled the participants to identify the strongest correlation — with visualization resulting in the best sensitivity. The sonification resulted in sensitivities that were independent from the type of displayed correlation, and the combination resulted in increased enjoyability during usage.

Tactile adaptation to orientation produces a robust tilt aftereffect and exhibits crossmodal transfer when tested in vision

Orientation processing is one of the most fundamental functions in both visual and somatosensory perception. Converging findings suggest that orientation processing in both modalities is closely linked: somatosensory neurons share a similar orientation organisation as visual neurons, and the visual cortex has been found to be heavily involved in tactile orientation perception. Hence, we hypothesized that somatosensation would exhibit a similar orientation adaptation effect, and this adaptation effect would be transferable between the two modalities, considering the above-mentioned connection. The tilt aftereffect (TAE) is a demonstration of orientation adaptation and is used widely in behavioural experiments to investigate orientation mechanisms in vision. By testing the classic TAE paradigm in both tactile and crossmodal orientation tasks between vision and touch, we were able to show that tactile perception of orientation shows a very robust TAE, similar to its visual counterpart. We further show that orientation adaptation in touch transfers to produce a TAE when tested in vision, but not vice versa. Additionally, when examining the test sequence following adaptation for serial effects, we observed another asymmetry between the two conditions where the visual test sequence displayed a repulsive intramodal serial dependence effect while the tactile test sequence exhibited an attractive serial dependence. These findings provide concrete evidence that vision and touch engage a similar orientation processing mechanism. However, the asymmetry in the crossmodal transfer of TAE and serial dependence points to a non-reciprocal connection between the two modalities, providing further insights into the underlying processing mechanism.

Foveated pancake lens design for improved optical performance and eye rotation support.

We propose a novel, to our knowledge, approach to address the limitations of traditional pancake lenses for virtual reality headsets, such as low image contrast and poor performance when eyes rotate. The design leverages the foveated nature of human vision, achieving a superior modulation transfer function in the foveal area to enhance optical performance significantly. Furthermore, the pancake lens design is presented that considers the rotation of the user's pupil position, maintaining optimal image quality even when the user's eye rotates. The proposed method presents the parameters and optimization of a novel pancake lens that utilizes the characteristics of the human visual system and accounts for the rotation of the pupil position of the user, leading to improvements in image quality and user experience. The lens design and image simulation results are presented to demonstrate the effectiveness of the approach.

Film-Induced Tourism as a Key Factor for Promoting Tourism Destination Image: The James Bond Saga Case

This research extensively discusses the connection between destination image and films influencing tourism. Despite the worldwide fame of the James Bond saga and extensive publications on the subject, research into the role of tourism promotion in the image of destinations is still scarce, and there is no specific focus on analysing promotional aspects in relation to film-induced tourism. This study focuses on the influence of cinematographic images on the destination image perception and promotion, specifically exploring the case of the James Bond saga as a practical case. With 25 films released since 1962, the James Bond saga provides a basis for evaluating cinematic presence in tourism promotion strategies. This research proposes the content analysis of the official tourist websites of 23 destinations where the James Bond saga was shot, which offer some tourist products linked to the saga. The key findings provide valuable insights into the promotion of James Bond saga tourism destinations, the role of films in promoting destinations, and the tourism products developed from the saga films. The results provide visual outputs about the target image of the film shooting locations, and the text analysis provides keywords linked to the theme. The study’s methodology contributes to the discourse on film tourism and destination image topics and brings practical and theoretical contributions to both academia and destination managers.

The contribution of auditory imagery and visual rhythm perception to sensorimotor synchronization with external and imagined rhythm.

Sensorimotor synchronization (SMS) refers to the temporal coordination of an external stimulus with movement. Our previous work revealed that while SMS with visual flashing patterns was less consistent than with auditory or tactile patterns, it was still evident in a sample of nonmusicians. Although previous studies have speculated the potential role of auditory imagery, its contribution to visual SMS performance is not well quantified. Utilizing a synchronization-continuation finger-tapping task with a visual stimulus that included implied motion, we aimed to examine how participants' imagery ability, musicality, and rhythm perception affected SMS performance. We quantified participants' SMS consistency in synchronization (with visual cues) and continuation (without visual cues) phases. Participants also performed a perception task assessing their ability to detect temporal perturbations in the visual rhythm and completed musical ability and imagery questionnaires. Our linear regression model for SMS consistency included the trial phase, self-reported auditory imagery control and musicality, and visual rhythm perception as predictors. Significant effects of trial phase and auditory imagery scores on SMS consistency suggested that participants performed SMS more consistently while the guiding visual stimulus was present and that the higher one's self-reported auditory imagery ability, the better their SMS when continuing with unguided rhythm. One's visual rhythm perception accuracy significantly correlated with SMS consistency during the synchronization phase, and there was no correlation between rhythm perception and auditory imagery control. Overall, our results suggested relatively independent contributions of auditory imagery and visual rhythm perception to SMS with visual rhythm. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Visual Perceptual Processing Abnormalities in Body Dysmorphic Disorder.

Phenomenological observations of individuals with body dysmorphic disorder (BDD), coupled with evidence from neuropsychological, psychophysical, and neuroimaging studies, support a model of aberrant visual perception characterized by deficient global/holistic, enhanced detail/local processing, and selective visual-attentional biases. These features may contribute to the core symptomatology of distorted perception of their appearance, in addition to misinterpretation of others' facial expressions and poor insight regarding their misperceived appearance defects. Insights from visual processing studies can contribute to the development of novel interventions, such as perceptual retraining and non-invasive neuromodulation. However, much remains to be understood about visual perception in BDD. Future research should leverage brain imaging modalities with high temporal resolutions and employ study designs that induce conflicts in multisensory integration, thereby advancing our mechanistic understanding of distorted visual perception observed in BDD.

A comprehensive end-to-end computer vision framework for restoration and recognition of low-quality engineering drawings

The digitization of engineering drawings is crucial for efficient reuse, distribution, and archiving. Existing computer vision approaches for digitizing engineering drawings typically assume the input drawings have high quality. However, in reality, engineering drawings are often blurred and distorted due to improper scanning, storage, and transmission, which may jeopardize the effectiveness of existing approaches. This paper focuses on restoring and recognizing low-quality engineering drawings, where an end-to-end framework is proposed to improve the quality of the drawings and identify the graphical symbols on them. The framework uses K-means clustering to classify different engineering drawing patches into simple and complex texture patches based on their gray level co-occurrence matrix statistics. Computer vision operations and a modified Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) model are then used to improve the quality of the two types of patches, respectively. A modified Faster Region-based Convolutional Neural Network (Faster R-CNN) model is used to recognize the quality-enhanced graphical symbols. Additionally, a multi-stage task-driven collaborative learning strategy is proposed to train the modified ESRGAN and Faster R-CNN models to improve the resolution of engineering drawings in the direction that facilitates graphical symbol recognition, rather than human visual perception. A synthetic data generation method is also proposed to construct quality-degraded samples for training the framework. Experiments on real-world electrical diagrams show that the proposed framework achieves an accuracy of 98.98% and a recall of 99.33%, demonstrating its superiority over previous approaches. Moreover, the framework is integrated into a widely-used power system software application to showcase its practicality. The reference codes and data can be found at https://github.com/Lattle-y/AI-recognition-for-lq-ed.git Future work will focus on improving the generalizability of the proposed framework to different quality degradation scenarios and extrapolating the application to different engineering domains.

PointAS: an attention based sampling neural network for visual perception.

Harnessing the remarkable ability of the human brain to recognize and process complex data is a significant challenge for researchers, particularly in the domain of point cloud classification-a technology that aims to replicate the neural structure of the brain for spatial recognition. The initial 3D point cloud data often suffers from noise, sparsity, and disorder, making accurate classification a formidable task, especially when extracting local information features. Therefore, in this study, we propose a novel attention-based end-to-end point cloud downsampling classification method, termed as PointAS, which is an experimental algorithm designed to be adaptable to various downstream tasks. PointAS consists of two primary modules: the adaptive sampling module and the attention module. Specifically, the attention module aggregates global features with the input point cloud data, while the adaptive module extracts local features. In the point cloud classification task, our method surpasses existing downsampling methods by a significant margin, allowing for more precise extraction of edge data points to capture overall contour features accurately. The classification accuracy of PointAS consistently exceeds 80% across various sampling ratios, with a remarkable accuracy of 75.37% even at ultra-high sampling ratios. Moreover, our method exhibits robustness in experiments, maintaining classification accuracies of 72.50% or higher under different noise disturbances. Both qualitative and quantitative experiments affirm the efficacy of our approach in the sampling classification task, providing researchers with a more accurate method to identify and classify neurons, synapses, and other structures, thereby promoting a deeper understanding of the nervous system.

The Balance between Artistry and Science in Landscape Design of Memorial Garden Based on the Prediction Model of Multimedia Visual Perception Quality

The importance of careful planning and design of the memorial garden's landscape has been steadily rising in recent years as people have grown more aware of the garden's surroundings. The analysis is carried out from two perspectives of the artistic and scientific balance of the memorial garden landscape in this paper, explaining the effect of the balance between artistry and science in landscape design, while illustrating the effect of artistic and scientific balance based on some real memorial garden landscapes. This analysis and explanation play a pivotal role in the landscape design of the memorial garden. The pervasiveness of multimedia programmes and the recognition of their value in enriching life go hand in hand. Researchers need to pay close attention to the spread of multimedia apps that improve such encounters.

Creating realistic anterior segment optical coherence tomography images using generative adversarial networks

AimsTo develop a generative adversarial network (GAN) capable of generating realistic high-resolution anterior segment optical coherence tomography (AS-OCT) images.MethodsThis study included 142 628 AS-OCT B-scans from the American University of...

Physical Integrated Digital twin-based Interaction Mechanism of Artificial Intelligence Rehabilitation Robots Combining Visual Cognition and Motion Control

Physical Integrated Digital twin-based Interaction Mechanism of Artificial Intelligence Rehabilitation Robots Combining Visual Cognition and Motion Control

Highly memorable images are more readily perceived.

Image memorability, the likelihood that a person will remember a particular image, has been shown to be an intrinsic property of the image that is distinct from many other visual and cognitive features. Research thus far has not identified particular visual features that can sufficiently explain this intrinsic memorability, but one possibility is that more and less memorable images differ in their statistical regularity (i.e., how prototypical or distinctive they are). Statistical regularity is known to affect detection time for images, such that stimuli with higher statistical regularity can be detected with shorter presentation directions. Therefore, in the present study, we probed whether memorability affects how quickly an image can be detected. High- and low-memorability images were presented in an intact/scrambled task wherein participants were asked to indicate whether they saw an intact image or noise, and we estimated the presentation duration necessary for participants to reach 70.7% accuracy. Across two experiments using different stimulus materials, we observed and then replicated that more memorable images are associated with shorter detection thresholds than those for less memorable images. The results support the idea that memorable stimuli may better match stored templates used for image perception and/or recognition. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Neonatal Hypoglycemia and Neurocognitive Function at School Age: A Prospective Cohort Study

To determine the relationship between transient neonatal hypoglycemia in at-risk infants and neurocognitive function at 6-7 years of corrected age. The pre-hPOD Study involved children born with at least one risk factor for neonatal hypoglycemia. Hypoglycemia was defined as ≥1 consecutive blood glucose concentrations <47 mg/dl (2.6 mmol/L), severe as <36 mg/dl (2.0 mmol/L), mild as 36 to <47 mg/dL (2.0 to <2.6 mmol/L), brief as 1 to 2 episodes, and recurrent as ≥3 episodes. At 6-7 y children were assessed for cognitive and motor function (NIH-Toolbox), learning, visual perception and behavior. The primary outcome was neurocognitive impairment, defined as >1 SD below the normative mean in ≥1 Toolbox tests. The eight secondary outcomes covered children's cognitive, motor, language, emotional-behavioral, and visual perceptual development. Primary and secondary outcomes were compared between children who did and did not experience neonatal hypoglycemia, adjusting for potential confounding by gestation, birthweight, sex and receipt of prophylactic dextrose gel (pre-hPOD intervention). Secondary analysis included assessment by severity and frequency of hypoglycemia. Of 392 eligible children, 315 (80%) were assessed at school age (primary outcome, n=308); 47% experienced hypoglycemia. Neurocognitive impairment was similar between exposure groups (hypoglycemia 51% vs. 50% no hypoglycemia; aRD -4%, 95%CI -15%, 7%). Children with severe or recurrent hypoglycemia had worse visual motion perception and increased risk of emotional-behavioral difficulty. Exposure to neonatal hypoglycemia was not associated with risk of neurocognitive impairment at school-age in at-risk infants, but severe and recurrent episodes may have adverse impacts.

Bimodal moment-by-moment coupling in perceptual multistability.

Multistable perception occurs in all sensory modalities, and there is ongoing theoretical debate about whether there are overarching mechanisms driving multistability across modalities. Here we study whether multistable percepts are coupled across vision and audition on a moment-by-moment basis. To assess perception simultaneously for both modalities without provoking a dual-task situation, we query auditory perception by direct report, while measuring visual perception indirectly via eye movements. A support-vector-machine (SVM)-based classifier allows us to decode visual perception from the eye-tracking data on a moment-by-moment basis. For each timepoint, we compare visual percept (SVM output) and auditory percept (report) and quantify the co-occurrence of integrated (one-object) or segregated (two-objects) interpretations in the two modalities. Our results show an above-chance coupling of auditory and visual perceptual interpretations. By titrating stimulus parameters toward an approximately symmetric distribution of integrated and segregated percepts for each modality and individual, we minimize the amount of coupling expected by chance. Because of the nature of our task, we can rule out that the coupling stems from postperceptual levels (i.e., decision or response interference). Our results thus indicate moment-by-moment perceptual coupling in the resolution of visual and auditory multistability, lending support to theories that postulate joint mechanisms for multistable perception across the senses.