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Epipole Estimation Using Affine Motion Parallax
Author(s) -
Jonathan Lawn,
Roberto Cipolla
Publication year - 1993
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.7.38
Subject(s) - parallax , computer vision , artificial intelligence , affine transformation , translation (biology) , motion estimation , computer science , rotation (mathematics) , motion (physics) , motion field , quarter pixel motion , structure from motion , image (mathematics) , mathematics , biochemistry , chemistry , messenger rna , pure mathematics , gene
Determining the motion of a camera from its image sequences has so far proved very difficult, and no practical algorithms have been found for freely moving cameras. This novel algorithm is based on motion parallax, but uses sparse visual motion estimates to extract the direction of translation of the camera directly, after which determination of the camera rotation and the depths of the image features follows easily. This method can also detect and reject independent motion, and provide a measure of the uncertainty of its estimates.

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