@article{
 title = {On the reprojection of 3D and 2D scenes without explicit model selection},
 type = {article},
 year = {2000},
 pages = {936-949},
 volume = {1842},
 id = {84c532e3-37ab-3071-8da0-de6b5ad708de},
 created = {2023-03-13T08:42:26.685Z},
 file_attached = {true},
 profile_id = {f1f70cad-e32d-3de2-a3c0-be1736cb88be},
 group_id = {5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1},
 last_modified = {2023-03-13T08:42:31.745Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 folder_uuids = {238906f4-3e7c-4ebb-b571-5e94ea26a909},
 private_publication = {false},
 abstract = {It is known that recovering projection matrices from planar configurations is ambiguous, thus, posing the problem of model selection - is the scene planar (2D) or non-planar (3D)? For a 2D scene one would recover a homography matrix, whereas for a 3D scene one would recover the fundamental matrix or trifocal tensor. The task of model selection is especially problematic when the scene is neither 2D nor 3D - for example a “thin” volume in space. In this paper we show that for certain tasks, such as reprojection, there is no need to select a model. The ambiguity that arises from a 2D scene is orthogonal to the reprojection process, thus if one desires to use multilinear matching constraints for transferring points along a sequence of views it is possible to do so under any situation of 2D, 3D or “thin” volumes.},
 bibtype = {article},
 author = {Shashua, Amnon and Avidan, Shai},
 doi = {10.1007/3-540-45054-8_61},
 journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}
}

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