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dc.contributor.authorTaalebinezhaad, M. Alien_US
dc.date.accessioned2004-10-08T20:29:01Z
dc.date.available2004-10-08T20:29:01Z
dc.date.issued1992-04-01en_US
dc.identifier.otherAIM-1334en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6584
dc.description.abstractEarlier, we introduced a direct method called fixation for the recovery of shape and motion in the general case. The method uses neither feature correspondence nor optical flow. Instead, it directly employs the spatiotemporal gradients of image brightness. This work reports the experimental results of applying some of our fixation algorithms to a sequence of real images where the motion is a combination of translation and rotation. These results show that parameters such as the fization patch size have crucial effects on the estimation of some motion parameters. Some of the critical issues involved in the implementaion of our autonomous motion vision system are also discussed here. Among those are the criteria for automatic choice of an optimum size for the fixation patch, and an appropriate location for the fixation point which result in good estimates for important motion parameters. Finally, a calibration method is described for identifying the real location of the rotation axis in imaging systems.en_US
dc.format.extent1582450 bytes
dc.format.extent1237916 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-1334en_US
dc.titleTowards Autonomous Motion Visionen_US


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