TY - GEN
T1 - An efficient data structure for feature extraction in a foveated environment
AU - Nattel, Efri
AU - Yeshurun, Yehezkel
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.
PY - 2000
Y1 - 2000
N2 - Foveated sampling and representation of images is a powerful tool for various vision applications. However,there are many inherent difficulties in implementing it. We present a simple and efficient mechanism to manipulate image analysis operators directly on the foveated image; A single typed table-based structure is used to represent various known operators. Using the Complex Log as our foveation method,w e show how several operators such as edge detection and Hough transform could be efficiently computed almost at frame rate,and discuss the complexity of our approach.
AB - Foveated sampling and representation of images is a powerful tool for various vision applications. However,there are many inherent difficulties in implementing it. We present a simple and efficient mechanism to manipulate image analysis operators directly on the foveated image; A single typed table-based structure is used to represent various known operators. Using the Complex Log as our foveation method,w e show how several operators such as edge detection and Hough transform could be efficiently computed almost at frame rate,and discuss the complexity of our approach.
UR - http://www.scopus.com/inward/record.url?scp=84958528925&partnerID=8YFLogxK
U2 - 10.1007/3-540-45482-9_21
DO - 10.1007/3-540-45482-9_21
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AN - SCOPUS:84958528925
SN - 3540675604
SN - 9783540675600
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 217
EP - 226
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Poggio, Tomaso
A2 - Lee, Seong-Whan
A2 - Bulthoff, Heinrich H.
PB - Springer Verlag
T2 - 1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000
Y2 - 15 May 2000 through 17 May 2000
ER -