TY - GEN
T1 - Recovery of ego-motion using image stabilization
AU - Irani, Michal
AU - Rousso, Benny
AU - Peleg, Shmuel
PY - 1994
Y1 - 1994
N2 - A method for computing the 3D camera motion (the ego-motion) in a static scene is introduced, which is based on computing the 2D image motion of a single image region directly from image intensities. The computed image motion of this image region is used to register the images so that the detected image region appears stationary. The resulting displacement field for the entire scene between the registered frames is affected only by the 3D translation of the camera. After canceling the effects of the camera rotation by using such 2D image registration, the 3D camera translation is computed by finding the focus-of-expansion in the translation-only set of registered frames. This step is followed by computing the camera rotation to complete the computation of the ego-motion. The presented method avoids the inherent problems in the computation of optical flow and of feature matching, and does not assume any prior feature detection or feature correspondence.
AB - A method for computing the 3D camera motion (the ego-motion) in a static scene is introduced, which is based on computing the 2D image motion of a single image region directly from image intensities. The computed image motion of this image region is used to register the images so that the detected image region appears stationary. The resulting displacement field for the entire scene between the registered frames is affected only by the 3D translation of the camera. After canceling the effects of the camera rotation by using such 2D image registration, the 3D camera translation is computed by finding the focus-of-expansion in the translation-only set of registered frames. This step is followed by computing the camera rotation to complete the computation of the ego-motion. The presented method avoids the inherent problems in the computation of optical flow and of feature matching, and does not assume any prior feature detection or feature correspondence.
UR - http://www.scopus.com/inward/record.url?scp=0028134351&partnerID=8YFLogxK
U2 - 10.1109/cvpr.1994.323866
DO - 10.1109/cvpr.1994.323866
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AN - SCOPUS:0028134351
SN - 0818658274
SN - 9780818658273
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 454
EP - 460
BT - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PB - Publ by IEEE
T2 - Proceedings of the 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Y2 - 21 June 1994 through 23 June 1994
ER -