Title :
Decomposition theory and transformations of visual directions
Author :
Bergholm, Fredrik
Author_Institution :
R. Inst. of Technol., NADA, Stockholm, Sweden
Abstract :
The author shows that there are two basic ways to eliminate rotation; either you eliminate actual (effective) rotation R˜ or abstract rotation R. The transformation of visual directions P is decomposed into pure deformation (pure strain) and abstract rotation. Methods can be grouped as to whether they eliminate actual or abstract rotation. An interesting elimination of R can be done for equatorial motion fields on the image hemisphere, using equator-normal flow, having a moving sensor in a fixed environment. Then rotation can be eliminated by detecting the phase and amplitude of a sine wave hidden in a 1-D signal (the signal is a function of longitudes). Both sparse velocities and normal flow for nearly equator-parallel image contours can be used (directly) as input data. This approach seems robust and can be used in conjunction with the algorithm by R.C. Nelson and J. Aloimonos (1988)
Keywords :
computer vision; computerised picture processing; 1-D signal; decomposition theory; effective rotation; equator-normal flow; equatorial motion fields; image hemisphere; moving sensor; nearly equator-parallel image contours; transformations; visual directions; Angular velocity; Capacitive sensors; Computer vision; Image sensors; Motion analysis; Phase detection; Reflection; Robustness;
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
DOI :
10.1109/ICCV.1990.139500