Optic Flow Estimation by Adaptive Affine Transform

Optic flow is the velocity field in the image plane that arises due to the projection of moving points in the scene onto the image plane. The motion of points in the image plane may be due to the motion of the observer, the motion of objects in the scene, or both. Optic flow also represents the apparent motion due to the temporal rate of change of gray value structures. Figure 1 illustrates the distinction between real (fig. la) and apparent (fig. lb) motion.

[1]  Hans-Hellmut Nagel,et al.  An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  K. Prazdny,et al.  On the information in optical flows , 1983, Comput. Vis. Graph. Image Process..

[3]  S. Pizer,et al.  An Image Description for Object Definition, Based on Extremal Regions in the Stack , 1986 .

[4]  Demetri Terzopoulos,et al.  Image Analysis Using Multigrid Relaxation Methods , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[6]  Ramesh C. Jain,et al.  Detecting time-varying corners , 1984, Comput. Vis. Graph. Image Process..

[7]  Arthur C. Sanderson,et al.  Multiple Resolution Representation and Probabilistic Matching of 2-D Gray-Scale Shape , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.