TY - GEN
T1 - A Gabor wavelet pyramid-based object detection algorithm
AU - Sato, Yasuomi D.
AU - Jitsev, Jenia
AU - Bornschein, Joerg
AU - Pamplona, Daniela
AU - Keck, Christian
AU - Von Der Malsburg, Christoph
PY - 2011
Y1 - 2011
N2 - We introduce visual object detection architecture, making full use of technical merits of so-called multi-scale feature correspondence in the neurally inspired Gabor pyramid. The remarkable property of the multi-scale Gabor feature correspondence is found with scale-space approaches, which an original image Gabor-filtered with the individual frequency levels is approximated to the correspondingly sub-sampled image smoothed with the low-pass filter. The multi-scale feature correspondence is used for effectively reducing computational costs in filtering. In particular, we show that the multi-scale Gabor feature correspondence play an effective role in matching between an input image and the model representation for object detection.
AB - We introduce visual object detection architecture, making full use of technical merits of so-called multi-scale feature correspondence in the neurally inspired Gabor pyramid. The remarkable property of the multi-scale Gabor feature correspondence is found with scale-space approaches, which an original image Gabor-filtered with the individual frequency levels is approximated to the correspondingly sub-sampled image smoothed with the low-pass filter. The multi-scale feature correspondence is used for effectively reducing computational costs in filtering. In particular, we show that the multi-scale Gabor feature correspondence play an effective role in matching between an input image and the model representation for object detection.
KW - Computer Vision
KW - Gabor Pyramid
KW - Multi-scale Feature Correspondence
KW - Visual Object Detection
UR - http://www.scopus.com/inward/record.url?scp=79957856156&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957856156&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21090-7_28
DO - 10.1007/978-3-642-21090-7_28
M3 - Conference contribution
AN - SCOPUS:79957856156
SN - 9783642210891
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 232
EP - 240
BT - Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011
T2 - 8th International Symposium on Neural Networks, ISNN 2011
Y2 - 29 May 2011 through 1 June 2011
ER -