Associative-Memory-Based Human Face Detection

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概要

• 論文の詳細を見る

• In this paper, we explore the possibility of applying associative memories for locating frontal views of human faces in complex scenes. An appealing property of the associative-memory-based face detection system is that learning of the associative memory may be achieved by using a simple Hebbian learning rule. In addition, a simple heuristic rule is used to quickly filter a certain amount of nonface images at the very beginning of the whole detection procedure. By using the rule, we won't waste unnecessary computational resources on those nonface images. A database consisting of 74 images was used to test the performance of our associative-memory-based human face detection system.

• 社団法人電子情報通信学会の論文
• 2001-08-01

著者

• Su Mu-chun

  Department Of Computer Science And Information Engineering National Central University

• Chou C‐h

  Tamkang Univ. Taiwan Chn

• Chou Chien-hsing

  Department Of Electrical Engineering Tamkang University

• Su M‐c

  National Central Univ. Taiwan Chn

関連論文

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• A Healing Mechanism to Improve the Topological Preserving Property of Feature Maps
• Continuous Speech Segmentation Based on a Self-Learning Neuro-Fuzzy System (Special Section on Digital Signal Processing)
• Associative-Memory-Based Human Face Detection

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