| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
{S. K. Nayar, H. Murase} and S. A. Nene
ABSTRACT
In contrast to the traditional approach, the recognition problem is form ulated as one of matching appearance rather than shape. For any given vision task, all possible appearance variations define its visual workspace. A set of images is obtained by coarsely sampling the workspace. The image set is compressed to obtain a low-dimensional subspace, called the eigenspace, in which the visual workspace is represented as a continuous appearance manifold. Given an unknown input image, the recognition system first projects the image to eigenspace. The parameters of the vision task are recognized based on the eaact position of the projection on the appearance manifold. The proposed appearance representation has several applications in visual perception. As eaamples, a real-time recognition system with 20 complex objects, an illumination planning technique for robust object recognition, and a real-time visual positioning and tracking system are described. The simplicity and generality of the proposed ideas have led to the development of a comprehensive software library for appearance modeling and matching. |
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