Obstacle avoidance using flow field divergence
作者： R.C. Nelson , J. Aloimonos
DOI: 10.1109/34.42840
关键词:
摘要: … We argue that the flow field divergence is a particularly useful cue for this problem, and one that can be robustly derived from image sequences in real-world environments. …
acm.org
researchgate.net 
sci-hub.se 参考文章(13)
A. Verri, Tomaso Poggio, Against Quantitative Optical Flow Proc. First Int'l Conf. Computer Vision, London. pp. 171- 180 ,(1987)
H. C. Longuet-Higgins, A computer algorithm for reconstructing a scene from two projections Nature. ,vol. 293, pp. 61- 62 ,(1987) , 10.1038/293133A0
Hans P. Moravec, Visual mapping by a robot rover international joint conference on artificial intelligence. pp. 598- 600 ,(1979)
Rodney Brooks, Achieving Artificial Intelligence through Building Robots Massachusetts Institute of Technology. ,(1986)
A Computational Theory of Human Stereo Vision Proceedings of The Royal Society B: Biological Sciences. ,vol. 204, pp. 301- 328 ,(1979) , 10.1098/RSPB.1979.0029
Roger Y Tsai, Thomas S Huang, None, Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. PAMI-6, pp. 13- 27 ,(1984) , 10.1109/TPAMI.1984.4767471
R. C. Nelson, J. Aloimonos, Finding motion parameters from spherical motion fields (or the advantages of having eyes in the back of your head) Biological Cybernetics. ,vol. 58, pp. 261- 273 ,(1988) , 10.1007/BF00364131
Hans-Hellmut Nagel, Wilfried Enkelmann, An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. PAMI-8, pp. 565- 593 ,(1986) , 10.1109/TPAMI.1986.4767833
The Interpretation of Structure from Motion Proceedings of The Royal Society B: Biological Sciences. ,vol. 203, pp. 405- 426 ,(1979) , 10.1098/RSPB.1979.0006
K. Prazdny, Determining the instantaneous direction of motion from optical flow generated by a curvilinearly moving observer Computer Graphics and Image Processing. ,vol. 17, pp. 238- 248 ,(1981) , 10.1016/0146-664X(81)90004-6