Bilkent University
Department of Computer Engineering

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S E M I N A R

 

Augmenting Shape with Appearance in Vehicle Category Recognition

 

Ozge Can Ozcanli
Brown University

Shape is an important cue for generic object recognition but can be insufficient without other cues such as object appearance. We explore a number of ways in which the geometric aspects of an object can be augmented with its appearance. The main idea is to construct a dense correspondence between the interior regions of two shapes based on a shape-based correspondence so that the intensity and gradient distributions can be compared, e.g. using a mutual information paradigm. Three methods for regional alignment are suggested and compared in vehicle category recognition from aerial videos under known viewing and illumination conditions. Our findings indicate that (i) augmenting shape with appearance significantly increases recognition rate, and (ii) the region correspondence induced by the shape skeleton yields the highest performance.

 

DATE: July 3, 2006, Monday@ 10:30
PLACE: EA 502