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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1881

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dc.contributor.authorHanmandlu, M-
dc.contributor.authorShantaram, V-
dc.contributor.authorSudheer, K-
dc.date.accessioned2006-06-29T05:14:09Z-
dc.date.available2006-06-29T05:14:09Z-
dc.date.issued1997-
dc.identifier.citationRobotics and Automation, Proceedings, IEEE International Conference on, 3, 2264 - 2269p.en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/1881-
dc.description.abstractA recursive estimation of depth from a sequence of images is proposed. Using the spherical projection, a simple equation is derived that relates image motion with the object motion. This equation is reformulated into a dynamical state space model for which Kalman filter can be easily applied to yield the estimate of depth. Point correspondences have been used to obtain feature points and the motion parameters are assumed to be known. The results are illustrated on a real objecten
dc.format.extent60581 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.subjectspherical projectionen
dc.subjectdynamical state space modelen
dc.titleDepth estimation from a sequence of images using spherical projectionen
dc.typeArticleen
Appears in Collections:Electrical Engineering

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