TY - GEN
T1 - Comparison of view-based object recognition algorithms using realistic 3D models
AU - Blanz, V.
AU - Schölkopf, B.
AU - Bülthoff, H.
AU - Burges, C.
AU - Vapnik, V.
AU - Vetter, T.
PY - 1996
Y1 - 1996
N2 - Two view-based object recognition algorithms are compared: (1) a heuristic algorithm based on oriented filters, and (2) a support vector learning machine trained on low-resolution images of the objects. Classification performance is assessed using a high mlmber of images generated by a computer graphics system under precisely controlled conditions. Training- and test-images show a set of 25 realistic three-dimensional models of chairs from viewing directions spread over the upper half of the viewing sphere. The percentage of correct identification of all 25 objects is measured.
AB - Two view-based object recognition algorithms are compared: (1) a heuristic algorithm based on oriented filters, and (2) a support vector learning machine trained on low-resolution images of the objects. Classification performance is assessed using a high mlmber of images generated by a computer graphics system under precisely controlled conditions. Training- and test-images show a set of 25 realistic three-dimensional models of chairs from viewing directions spread over the upper half of the viewing sphere. The percentage of correct identification of all 25 objects is measured.
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U2 - 10.1007/3-540-61510-5_45
DO - 10.1007/3-540-61510-5_45
M3 - Conference contribution
AN - SCOPUS:84902205493
SN - 3540615105
SN - 9783540615101
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 251
EP - 256
BT - Artificial Neural Networks, ICANN 1996 - 1996 International Conference, Proceedings
PB - Springer Verlag
T2 - 1996 International Conference on Artificial Neural Networks, ICANN 1996
Y2 - 16 July 1996 through 19 July 1996
ER -