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Articles 1 - 2 of 2
Full-Text Articles in Vision Science
A Space-Variant Model For Motion Interpretation Across The Visual Field, Guido Maiello, Manuela Chessa, Peter J. Bex, Fabio Solari
A Space-Variant Model For Motion Interpretation Across The Visual Field, Guido Maiello, Manuela Chessa, Peter J. Bex, Fabio Solari
MODVIS Workshop
We implement a neural model for the estimation of the focus of radial motion (FRM) at different retinal locations and we assess the model by comparing its results with respect to the precision with which human observers can estimate the FRM in naturalistic, moving dead leaves stimuli. The proposed neural model describes the deep hierarchy of the first stages of the dorsal visual pathway [Solari et al., 2014]. Such a model is space-variant, since it takes into account the retino-cortical transformation of the primate visual system through log-polar mapping that produces a cortical representation of the visual signal to the …
Using The Symmetry Of False Matches To Solve The Correspondence Problem, Cherlyn J. Ng, Bart Farell
Using The Symmetry Of False Matches To Solve The Correspondence Problem, Cherlyn J. Ng, Bart Farell
Biomedical and Chemical Engineering - All Scholarship
Veridical stereoscopic depth depends on matching corresponding image points. This requires solving the stereo correspondence problem: how are true matches distinguished from false ones? Conventional algorithms select true matches on the basis of feature detection [what do you mean by ‘feature detection’ here? Is there some more specific term?] and adherence to natural statistics. They reject false matches as noise. We propose here an alternative that uses the signals present in false matches to delineate the true solution. When visualized in a Keplerian array, binocular matches are symmetrically reflected about an axis that is a potential solution. Properties such as …