Cognition theory based performance characterization in computer vision

Authors:
Wu Aimin;Xu De;Nie Zhaozheng;Yang Xu
Affiliations:
Dept. of Computer Science & Technology, Beijing Jiaotong Univ., Beijing, China;Dept. of Computer Science & Technology, Beijing Jiaotong Univ., Beijing, China;Dongying Vocational College, Shandong, China;Dept. of Computer Science & Technology, Beijing Jiaotong Univ., Beijing, China
Venue:
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Year:
2005

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Abstract

It is very difficult to evaluate the performance of computer vision algorithms at present. We argue that visual cognition theory can be used to challenge this task. In this paper, we first illustrate why and how to use vision cognition theory to evaluate the performance of computer vision algorithms. Then from the perspective of computer science, we summarize some of important assumptions of visual cognition theory. Finally, some cases are introduced to show effectiveness of our methods.