scholarly journals FEATURES OF HOLOGRAPHIC PERCEPTION OF VISUAL PERSPECTIVE IN ARCHITECTURE

2020 ◽  
Vol 2 (2) ◽  
pp. 125-131
Author(s):  
Kuzmych V. ◽  
Keyword(s):  
Visual Perception ◽  
Visual System ◽  
Human Visual System ◽  
Human Perception ◽  
Visual Perspective ◽  
Energy Flows ◽  
Horizon Line ◽  
Tonal Perception ◽  
The Difference ◽  
The Right

The article is devoted to the phenomenon of holographic human perception in the analysis of the architectural environment. Includes aspects of perspective-tonal perception of visual factors of holographic scanning of the human visual system. Aimed at understanding and reproducing the features and nuances of vision, in the context of summary analysis and reproduction of the system of energy flows in the elements of visual perception. The holographic factor of perception of reality is based on the difference between the work of the right and left eye, with the peculiarity of the angular adjustment of vision to the object of observation. The horizon line or the height of the perception of volumes, as well as the position of the spaces of the architectural environment remain dominant.

scholarly journals Forensic Engineering Issues In Glare And Visibility Studies

2006 ◽  
Vol 23 (2) ◽  
Author(s):  
Adam K. Aleksander
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
San Diego ◽  
Human Perception ◽  
Short Paper ◽  
Forensic Engineering ◽  
Common Items

Forensic Engineering Evaluation Of Visibility Related Issues In The Night Driving Environment Requires The Understanding Of A Range Of Phenomena, Including The Human Visual System, The Nature Of Light, The Measurement Of Light, And The Limitations Of Human Perception. This Short Paper Outlines The Pertinent Topical Areas, And Is Intended To Supplement A More Detailed Discussion Presented At The Nafe Meeting In January 2005 In San Diego. Although Many Important Vision Concepts Are Omitted, The Forensic Engineer Will Gain An Appreciation Of The Fundamental Issues. Results Of Visibility Tests On Some Common Items Are Presented To Guide The Reader, And To Correlate With Other Data They May Encounter In Their Individual Practice. Three Cases Are Discussed, Which Include The Elements Of Night Driving, Glare, Conspicuity, Contrast, And Human Perception And Reaction.

2D and 3D Visual Attention for Computer Vision

2016 ◽  
pp. 1-44
Author(s):  
Vincent Ricordel ◽  
Junle Wang ◽  
Matthieu Perreira Da Silva ◽  
Patrick Le Callet
Keyword(s):  
Computer Vision ◽  
Visual Perception ◽  
Visual Attention ◽  
Visual System ◽  
Computational Modeling ◽  
Depth Perception ◽  
Human Visual System ◽  
Visual Importance ◽  
2D And 3D ◽  
The Impact

Visual attention is one of the most important mechanisms deployed in the human visual system (HVS) to reduce the amount of information that our brain needs to process. An increasing amount of efforts has been dedicated to the study of visual attention, and this chapter proposes to clarify the advances achieved in computational modeling of visual attention. First the concepts of visual attention, including the links between visual salience and visual importance, are detailed. The main characteristics of the HVS involved in the process of visual perception are also explained. Next we focus on eye-tracking, because of its role in the evaluation of the performance of the models. A complete state of the art in computational modeling of visual attention is then presented. The research works that extend some visual attention models to 3D by taking into account of the impact of depth perception are finally explained and compared.

scholarly journals Garment smoothness appearance evaluation through computer vision

2011 ◽  
Vol 82 (3) ◽  
pp. 299-309 ◽  
Author(s):  
Javier Silvestre-Blanes ◽  
Joaquin Berenguer-Sebastiá ◽  
Rubén Pérez-Lloréns ◽  
Ignacio Miralles ◽  
Jorge Moreno
Keyword(s):  
Computer Vision ◽  
Visual System ◽  
Human Visual System ◽  
Evaluation System ◽  
Human Perception ◽  
Measurement And Evaluation ◽  
Different Parts ◽  
Textile Products

The measurement and evaluation of the appearance of wrinkling in textile products after domestic washing and drying is performed currently by the comparison of the fabric with the replicas. This kind of evaluation has certain drawbacks, the most significant of which are its subjectivity and its limitations when used with garments. In this paper, we present an automated wrinkling evaluation system. The system developed can process fabrics as well as any type of garment, independent of size or pattern on the material. The system allows us to label different parts of the garment. Thus, as different garment parts have different influence on human perception, this labeling enables the use of weighting, to improve the correlation with the human visual system. The system has been tested with different garments showing good performance and correlation with human perception.

scholarly journals Judgments of spatial extent are fundamentally illusory: ‘Additive-area’ provides the best explanation

2020 ◽  
Author(s):  
Sami Yousif ◽  
Richard Aslin ◽  
Frank Keil
Keyword(s):  
Visual Perception ◽  
Visual System ◽  
Recent Work ◽  
Spatial Extent ◽  
Scaling Models ◽  
The Right

How do we represent extent in our spatial world? Recent work has shown that even the simplest spatial judgments — estimates of 2D area — present challenges to our visual system. Indeed, area judgments are best accounted for by ‘additive area’ (the sum of objects’ dimensions) rather than ‘true area’ (i.e., a pixel count). But is ‘additive area’ itself the right explanation — or might other models better explain the results? Here, we offer three direct and novel demonstrations that ‘additive area’ explains area judgments. First, using stimuli that are simultaneously equated for number and all other confounding dimensions, we show that area judgments are nevertheless explained by ‘additive area’. Next, we show how ‘scaling’ models of area fail to explain even basic illusions of area. By contrasting squares with diamonds (i.e., the same squares, but rotated), we show a robust tendency to perceive the diamonds as having more area — an effect that no other model of area perception would predict. These results not only confirm the fundamental role of ‘additive area’ in judgments of spatial extent, but they highlight the importance of accounting for this dimension in studies of other features (e.g., density, number) in visual perception.

Decussation

2017 ◽  
Author(s):  
Robert Laureno
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Corticospinal Tract ◽  
Optic Chiasm ◽  
Clinical Neurology ◽  
Vertebrate Species ◽  
The Right

This chapter on “Decussation” examines the right–left crossing of neurological systems. Covered are the corticospinal tract, optic chiasm, and other subjects. The presence of crossed neurological systems is basic to clinical neurology. Crossing, however, appears to not be essential, and the amount of crossing can vary from individual to individual. We can track across vertebrate species the evolution of complete chiasmal crossing to the diminished crossing seen in the human visual system. This change in crossing of vision is very understandable as a correlate of the evolution of a lateral-eyed animal to a frontal-eyed human. The origin of crossing cannot be determined with certainty; we can only speculate about how many times crossing developed in pre-vertebrate history or what advantages, if any, crossing conferred. Clinicians, however, must be prepared to recognize patients with uncrossed anatomy—a challenge when we expect systems to be crossed as usual.

scholarly journals Stochastic re-calibration: contextual effects on perceived tilt

2006 ◽  
Vol 273 (1601) ◽  
pp. 2681-2686 ◽  
Author(s):  
Joshua A Solomon ◽  
Michael J Morgan
Keyword(s):  
Visual Field ◽  
Visual System ◽  
Lateral Inhibition ◽  
Human Visual System ◽  
Contextual Effects ◽  
Letter Recognition ◽  
Tilt Illusion ◽  
Reference Orientation ◽  
The Difference

The human visual system exaggerates the difference between the tilts of adjacent lines or grating patches. In addition to this tilt illusion, we found that oblique flanks reduced acuity for small changes of tilt in the centre of the visual field. However, no flanks—regardless of their tilts—decreased sensitivity to contrast. Thus, the foveal tilt illusion should not be attributed to orientation-selective lateral inhibition. Nor is it similar to conventional crowding, which typically does not impair letter recognition in the fovea. Our observers behaved as though the reference orientation (horizontal) had a small tilt in the direction of the flanks. We suggest that the extent of this re-calibration varies randomly over trials, and we demonstrate that this stochastic re-calibration can explain flank-induced acuity loss in the fovea.

scholarly journals Towards Measuring Shape Similarity of Polygons Based on Multiscale Features and Grid Context Descriptors

2021 ◽  
Vol 10 (5) ◽  
pp. 279
Author(s):  
Hongchao Fan ◽  
Zhiyao Zhao ◽  
Wenwen Li
Keyword(s):  
Visual Perception ◽  
Human Perception ◽  
Point Of View ◽  
Diffusion Method ◽  
Shape Similarity ◽  
Contour Feature ◽  
The Difference ◽  
Context Features ◽  
Shape Clustering ◽  
Region Feature

In spatial analysis applications, measuring the shape similarity of polygons is crucial for polygonal object retrieval and shape clustering. As a complex cognition process, measuring shape similarity should involve finding the difference between polygons, as objects in observation, in terms of visual perception and the differences of the regions, boundaries, and structures formed by the polygons from a mathematical point of view. In existing approaches, the shape similarity of polygons is calculated by only comparing their mathematical characteristics while not taking human perception into consideration. Aiming to solve this problem, we use the features of context and texture of polygons, since they are basic visual perception elements, to fit the cognition purpose. In this paper, we propose a contour diffusion method for the similarity measurement of polygons. By converting a polygon into a grid representation, the contour feature is represented as a multiscale statistic feature, and the region feature is transformed into condensed grid of context features. Instead of treating shape similarity as a distance between two representations of polygons, the proposed method observes similarity as a correlation between textures extracted by shape features. The experiments show that the accuracy of the proposed method is superior to that of the turning function and Fourier descriptor.

2D and 3D Visual Attention for Computer Vision

3D Printing ◽  
2017 ◽  
pp. 75-118
Author(s):  
Vincent Ricordel ◽  
Junle Wang ◽  
Matthieu Perreira Da Silva ◽  
Patrick Le Callet
Keyword(s):  
Computer Vision ◽  
Visual Perception ◽  
Visual Attention ◽  
Visual System ◽  
Computational Modeling ◽  
Depth Perception ◽  
Human Visual System ◽  
Visual Importance ◽  
2D And 3D ◽  
The Impact

Visual attention is one of the most important mechanisms deployed in the human visual system (HVS) to reduce the amount of information that our brain needs to process. An increasing amount of efforts has been dedicated to the study of visual attention, and this chapter proposes to clarify the advances achieved in computational modeling of visual attention. First the concepts of visual attention, including the links between visual salience and visual importance, are detailed. The main characteristics of the HVS involved in the process of visual perception are also explained. Next we focus on eye-tracking, because of its role in the evaluation of the performance of the models. A complete state of the art in computational modeling of visual attention is then presented. The research works that extend some visual attention models to 3D by taking into account of the impact of depth perception are finally explained and compared.

scholarly journals Retinex Based Image Enhancement via General Dictionary Convolutional Sparse Coding

2020 ◽  
Vol 10 (12) ◽  
pp. 4395
Author(s):  
Jongsu Yoon ◽  
Yoonsik Choe
Keyword(s):  
Visual System ◽  
Image Enhancement ◽  
Sparse Coding ◽  
Human Visual System ◽  
Color Constancy ◽  
Large Dataset ◽  
Learned Dictionary ◽  
Retinex Theory ◽  
The Difference ◽  
Value Decomposition

Retinex theory represents the human visual system by showing the relative reflectance of an object under various illumination conditions. A feature of this human visual system is color constancy, and the Retinex theory is designed in consideration of this feature. The Retinex algorithms have been popularly used to effectively decompose the illumination and reflectance of an object. The main aim of this paper is to study image enhancement using convolution sparse coding and sparse representations of the reflectance component in the Retinex model over a learned dictionary. To realize this, we use the convolutional sparse coding model to represent the reflectance component in detail. In addition, we propose that the reflectance component can be reconstructed using a trained general dictionary by using convolutional sparse coding from a large dataset. We use singular value decomposition in limited memory to construct a best reflectance dictionary. This allows the reflectance component to provide improved visual quality over conventional methods, as shown in the experimental results. Consequently, we can reduce the difference in perception between humans and machines through the proposed Retinex-based image enhancement.

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