A human-perception-like image recognition system based on PAP vector representation with multi resolution concept

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2002, Pages

  Yagi, Masakazu ^a   Shibata, Tadashi ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN MODELS; COMPUTATIONAL COMPLEXITY; DEPTH PERCEPTION; FEATURE EXTRACTION; VECTOR QUANTIZATION;

BINARY IMAGE RECOGNITION; PRINCIPAL AXIS PROJECTION; VECTOR MATCHING;

PATTERN RECOGNITION SYSTEMS;

EID: 0036299314     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5743974     Document Type: Conference Paper

References (7)

1. Intelligent VLSI systems based on a psychological brain model
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5. NMOS-based Gaussian-element-matching analog associative memory
6. Image representation algorithm featuring human perception of similarity for hardware recognition systems
7. An analog soft-pattern-matching classifier and its application to overlapping pattern separation