Spatial Vision

Speed, Spatial, and Temporal Tuning of Rod and Cone Vision in Mouse

“…We applied linear systems theory to the analysis of contrast sensitivity after the treatment of human vision by Watson (1986). Our rationale for this approach is that the CSFs we measured for mice have inverted U shapes characteristic of electrical filters and of primate vision (for review, see De Valois and De Valois, 1980). This approach models visual information processing with a series of spatiotemporal filters having bandpass and/or low-pass characteristics.…”

Disruptive coloration, crypsis and edge detection in early visual processing

“…There is ample evidence for the presence of line detectors in visual systems, (reviewed by De Valois & De Valois 1980;Graham 1989;Gordon 1997;Rolls & Deco 2002) and line detection is an important part of object recognition (Graham 1989;Gordon 1997;Bruce et al 2003). Therefore, one way to determine if the edges of the various targets are intact after the edge detection stage of the model is to use an algorithm that searches for the most salient line information in an image.…”

“…Second, these are transformed to both additive and opponent neural channels (signals). Third, the different luminance and chromatic signals are processed by an edge-detection algorithm at different spatial frequencies (De Valois & De Valois 1980;Shapley & Lennie 1985;Graham 1989;Gordon 1997;Elder & Sachs 2004). Edge detection, via sharp changes in light intensity or spectral composition (defined mathematically below), has a primary role in object/background segmentation because changes in light intensity and composition frequently occur where one object ends and another begins (Bruce et al 2003;Elder & Sachs 2004).…”

Diagnostic recognition: task constraints, object information, and their interactions

“…Computational vision and psychophysics have often emphasized the importance of simultaneously processing stimuli at multiple spatial resolutions, called 'spatial scales' (Campbell and Robson, 1968;Blackmore and Campbell, 1969;Breitmeyer and Ganz, 1976;Marr, 1982;Burt and Adelson, 1983;Canny, 1986;Ginsburg, 1986;Mallet, 1989;de Valois and de Valois, 1990; among many others). Starting with the observation that recognition algorithms could hardly operate on the raw pixel values of digitized images, vision researchers investigated multi-scale representations to organize and to simplify the description of events.…”