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On Weighting and Choosing Constraints for Optimally Reconstructing the Geometry of Image Triplets
[chapter]

2000
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Lecture Notes in Computer Science
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Optimally reconstructing the geometry of image triplets from point correspondences requires a proper weighting or selection of the used constraints between observed coordinates and unknown parameters. By analysing the ML-estimation process the paper solves a set of yet unsolved problems: (1) The minimal set of four linearily independent trilinearities (Shashua 1995 , Hartley 1995) actually imposes only three constraints onto the geometry of the image triplet. The seeming contradiction between

doi:10.1007/3-540-45053-x_43
fatcat:ury3ulf3jbgspb4pml57enf45u