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Colour-based Object Identification: Alternatives to Inverse Optics

Qasim Zaidi Ph.D

Back in January 2007, CRS were delighted to be given the opportunity to sponsor another talk at the annual Colour Vision Meeting of the Colour Group. This sponsored lecture was given by Qasim Zaidi, Senior Researcher and Professor of Vision Science at SUNY College of Optometry, New York.

Measuring MPOD: view slides Click here to listen to the talk

Click the image above to view the slides, and listen to Qasim Zaidi’s talk, which was recorded live. The talk is about 40 minutes long. This presentation has been converted into a Flash file and uses streaming technology, so that you can start watching without waiting for the entire file to download. The presentation will open in a new window and run from start to end automatically, or you can use the controls in the top right corner to pause and navigate from slide to slide if you prefer. Don't forget to turn on your speakers!

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Abstract

Spectral-reflectances can characterize objects that do not differ in shape or texture, but lights reflected from objects change with illumination, so we tested whether people are good at color-based object-identification.
Under two distinct lights, we presented pairs of real objects, three of which were made from the same material, and observers picked the odd object.  Object-identification was subject to systematic inaccuracies that ruled out color-constancy, contrast-constancy, inverse-optics and heuristic algorithms, instead observers seem to have used color dissimilarity along the vector parallel to the illuminant color change to pick the odd object.  The neglect of useful information and the use of a demonstrably limited assumption may reflect an “Opportunistic” Bayesian strategy.

 

Qasim Zaidi Ph.D

Qasim Zaidi

Qasim Zaidi is a Distinguished Professor of Vision Science at the State University of New York, College of Optometry. He did his Ph.D. at the University of Chicago on pre-retinal and retinal color mechanisms, and his post-doc at Bell Labs on higher-order color mechanisms. His current projects on color perception of real objects, and neural mechanisms of 3-D shape perception, are supported by grants from the National Eye Institute. He is a recipient of the SUNY Chancellor's Award for Excellence in Scholarship & Creative Activities, and a Fellow of the Optical Society of America.

 

 

Research Interests

Color based identification of objects, illuminants, transparencies and materials.

Cortical representation of color

Cortical mechanisms and computational models of 3-D shape from texture and motion

Perceptual assumptions and illusory percepts of 3-D solids

Symmetry perception

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