Direct Estimation of Structure and Motion from Multiple Frames
MetadataShow full item record
This 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.
motion vision, structure estimation, motion estimation, sKalmun filter, dynamic motion vision, direct motion vision
Showing items related by title, author, creator and subject.
Sinha, Pawan (1994-10-01)A key question regarding primate visual motion perception is whether the motion of 2D patterns is recovered by tracking distinctive localizable features [Lorenceau and Gorea, 1989; Rubin and Hochstein, 1992] or by ...