An optimum solution for scale-invariant object recognition based on the multiresolution approximation

Pattern Recognition

Volumn 31, Issue 7, 1998, Pages 889-908

  Yoon, Sung H ^a,f,g   Kim, Jung H ^b,e,g   Alexander, Winser E ^c,e,h   Park, Seong M ^b,f,g,i,j   Sohn, Kwang H ^d  

^a Villanova University   (United States)

^b Chonnam National University   (South Korea)

^c North Carolina State University   (United States)

^d Yonsei University   (South Korea)

^e NORTH CAROLINA A AND T STATE UNIVERSITY   (United States)

^f Seoul National University   (South Korea)

^g NORTH CAROLINA STATE UNIVERSITY   (United States)

^h SANDIA NATIONAL LABORATORIES   (United States)

ⁱ Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^j OLD DOMINION UNIVERSITY   (United States)

more..

Author keywords

Image analysis; Multiresolution approximation; Neural network; Object recognition; Pattern matchinmg; Wavelet transform

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; IMAGE ANALYSIS; NEURAL NETWORKS; PATTERN MATCHING; WAVELET TRANSFORMS;

CONTINUOUS MULTIRESOLUTION APPROXIMATION; CONTINUOUS WAVELET TRANSFORM;

OBJECT RECOGNITION;

EID: 0032117739     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(97)00111-8     Document Type: Article

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