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.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/6004 |
| Date | 01 March 1990 |
| Creators | Heel, Joachim |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 70 p., 5476119 bytes, 3861012 bytes, application/postscript, application/pdf |
| Relation | AIM-1190 |
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