July 2004
Intermediate to advanced
688 pages
19h 3m
English
Content preview from Emerging Topics in Computer VisionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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5.1. Introduction
The design and implementation of a complete artificial vision system is a daunting challenge. The computer vision community has made significant progress in many areas, but the ultimate goal is still far off. A key component of a general computer vision system is a computational framework that can address a wide range of problems in a unified way. We have developed such a framework over the past several years [40], which is the basis of the augmented framework presented in this chapter. It is based on a data representation formalism that uses tensors and an information propagation mechanism termed tensor voting.
Most computer vision problems are inverse problems, because the imaging process maps 3D "world" features onto 2D arrays ...
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