Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6004
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dc.creatorHeel, Joachim-
dc.date2004-10-04T14:35:38Z-
dc.date2004-10-04T14:35:38Z-
dc.date1990-03-01-
dc.date.accessioned2013-10-09T02:42:23Z-
dc.date.available2013-10-09T02:42:23Z-
dc.date.issued2013-10-09-
dc.identifierAIM-1190-
dc.identifierhttp://hdl.handle.net/1721.1/6004-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionThis paper presents a method for the estimation of scene structure and camera motion from a sequence of images. This approach is fundamentally new. No computation of optical flow or feature correspondences is required. The method processes image sequences of arbitrary length and exploits the redundancy for a significant reduction in error over time. No assumptions are made about camera motion or surface structure. Both quantities are fully recovered. Our method combines the "direct'' motion vision approach with the theory of recursive estimation. Each step is illustrated and evaluated with results from real images.-
dc.format70 p.-
dc.format5476119 bytes-
dc.format3861012 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-1190-
dc.subjectmotion vision-
dc.subjectstructure estimation-
dc.subjectmotion estimation-
dc.subjectsKalmun filter-
dc.subjectdynamic motion vision-
dc.subjectdirect motion vision-
dc.titleDirect Estimation of Structure and Motion from Multiple Frames-
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