Generation of affine invariant local contour feature data

作者: Richard F. Vaz , David Cyganski

DOI: 10.1016/0167-8655(90)90082-D

关键词:

摘要: Abstract A method for determining 3-D object orientation from a single 2-D image with incomplete data is discussed. Locally determined affine invariant planar features allows efficient solution transformation parameters using the generalized Hough transform.

参考文章(6)
D.H. Ballard, Generalizing the hough transform to detect arbitrary shapes Pattern Recognition. ,vol. 13, pp. 714- 725 ,(1987) , 10.1016/0031-3203(81)90009-1
D. Cyganski, J. Orr, 3-D Motion parameters from contours using a canonic differential international conference on acoustics, speech, and signal processing. ,vol. 10, pp. 917- 920 ,(1985) , 10.1109/ICASSP.1985.1168466
Hannu Hakalahti, David Harwood, Larry S Davis, Two-dimensional object recognition by matching local properties of contour points Pattern Recognition Letters. ,vol. 2, pp. 227- 234 ,(1984) , 10.1016/0167-8655(84)90029-1
David Cyganski, John A. Orr, Applications of Tensor Theory to Object Recognition and Orientation Determination IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. PAMI-7, pp. 662- 673 ,(1985) , 10.1109/TPAMI.1985.4767722
Teresa M. Silberberg, Larry Davis, David Harwood, An iterative Hough procedure for three-dimensional object recognition Pattern Recognition. ,vol. 17, pp. 621- 629 ,(1984) , 10.1016/0031-3203(84)90015-3
S. Linnainmaa, D. Harwood, L.S. Davis, Pose determination of a three-dimensional object using triangle pairs IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 10, pp. 634- 647 ,(1988) , 10.1109/34.6772