Exploiting depth discontinuities for vision-based fingerspelling recognition

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2004-January, Issue January, 2004, Pages

  Feris, Rogerio ^a   Turk, Matthew ^a   Raskar, Ramesh ^b   Tan, Karhan ^c   Ohashi, Gosuke ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d SHIZUOKA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE SEGMENTATION; PALMPRINT RECOGNITION;

CAST SHADOW; DEPTH DISCONTINUITIES; HAND CONFIGURATION; HAND IMAGES; INTENSITY VARIATIONS; LOW-INTENSITY; MULTI-FLASH CAMERAS; NOVEL METHODS; SIMPLE++; VISION BASED;

EDGE DETECTION;

EID: 84932597389     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2004.336     Document Type: Conference Paper

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