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- Biological neural networks (1)
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Articles 1 - 6 of 6
Full-Text Articles in Engineering
Color Transparency From Motions Of Backgrounds And Overlays, Zhehao Huang, Qasim Zaidi
Color Transparency From Motions Of Backgrounds And Overlays, Zhehao Huang, Qasim Zaidi
MODVIS Workshop
No abstract provided.
Computations Of Top-Down Attention By Modulating V1 Dynamics, David Berga, Xavier Otazu
Computations Of Top-Down Attention By Modulating V1 Dynamics, David Berga, Xavier Otazu
MODVIS Workshop
The human visual system processes information defining what is visually conspicuous (saliency) to our perception, guiding eye movements towards certain objects depending on scene context and its feature characteristics. However, attention has been known to be biased by top-down influences (relevance), which define voluntary eye movements driven by goal-directed behavior and memory. We propose a unified model of the visual cortex able to predict, among other effects, top-down visual attention and saccadic eye movements. First, we simulate activations of early mechanisms of the visual system (RGC/LGN), by processing distinct image chromatic opponencies with Gabor-like filters. Second, we use a cortical …
Virtual Eye: A Spatial-Temporal Bottom-Up Eye Sensitivity Model, Todd Goodall
Virtual Eye: A Spatial-Temporal Bottom-Up Eye Sensitivity Model, Todd Goodall
MODVIS Workshop
Video quality and compression models use the
spatial contrast sensitivity function (CSF), which is solved
based on a linear system approximation. This function measures
the eye’s sensitivity to sinusoid gratings, ignoring the subtle
connectivity and inhomogeniety of cell density across the
visual field. Non-linear aspects of the eye, such as the change
in frequency sensitivity with changing illumination, are not
captured by this simple approximation. We propose Virtual
Eye, a bottom-up approach that models the spatio-temporal
dynamics of the eye across the visual field. Each functional
retinal cell layer in the eye is modeled using non-uniform spatial
cell responses, which …
Quantified Measurement Of The Tilt Effect In A Family Of Café Wall Illusions, Nasim Nematzadeh Dr., David Martin Powers Prof.
Quantified Measurement Of The Tilt Effect In A Family Of Café Wall Illusions, Nasim Nematzadeh Dr., David Martin Powers Prof.
MODVIS Workshop
This abstract explores the tilt effect in a family of Café Wall illusions using a Classical Gaussian Receptive Field model (CRF). Our model constructs an intermediate representation called edge map at multiple scales (Fig. 1) that reveals tilt cues and clues involved in the illusory perception of the Café Wall pattern. We investigate a wide range of parameters of the stimulus including mortar width, luminance, tiles contrast, and phase of the tile displacement (the stimuli in Fig. 2). We show that this simple bioplausible model, simulating the contrast sensitivity of the retinal ganglion cells, can not only detect the tilts …
An Observer Model Version Of General Recognition Theory, Fabian Soto Phd
An Observer Model Version Of General Recognition Theory, Fabian Soto Phd
MODVIS Workshop
No abstract provided.
The Challenge For Vision Of Fluctuating Real-World Illumination, David H. Foster
The Challenge For Vision Of Fluctuating Real-World Illumination, David H. Foster
MODVIS Workshop
No abstract provided.