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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6808| Title: | Temporal Surface Reconstruction |
| Keywords: | 3D reconstruction Kalman Filter temporal vision structuresestimation surface reconstruction |
| Issue Date: | 9-Oct-2013 |
| Description: | This thesis investigates the problem of estimating the three-dimensional structure of a scene from a sequence of images. Structure information is recovered from images continuously using shading, motion or other visual mechanisms. A Kalman filter represents structure in a dense depth map. With each new image, the filter first updates the current depth map by a minimum variance estimate that best fits the new image data and the previous estimate. Then the structure estimate is predicted for the next time step by a transformation that accounts for relative camera motion. Experimental evaluation shows the significant improvement in quality and computation time that can be achieved using this technique. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AITR-1296 http://hdl.handle.net/1721.1/6808 |
| Appears in Collections: | MIT Items |
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