TY - GEN
T1 - Model-based invariants for 3D vision
AU - Weinshall, D.
PY - 1993
Y1 - 1993
N2 - We describe a hierarchical representation of 3D shape of objects, which is invariant to affine and rigid 3D transformations. Model-based invariant functions of general 3D objects are defined and constructed using this representation. A linear algorithm for invariant structure from motion from a sequence of images is outlined. The model-based invariant functions are used as model-based object recognition operators, operating on raw image features. An efficient invariant implementation of alignment and geometric hashing is also discussed. The complete description of this work is given in literature.
AB - We describe a hierarchical representation of 3D shape of objects, which is invariant to affine and rigid 3D transformations. Model-based invariant functions of general 3D objects are defined and constructed using this representation. A linear algorithm for invariant structure from motion from a sequence of images is outlined. The model-based invariant functions are used as model-based object recognition operators, operating on raw image features. An efficient invariant implementation of alignment and geometric hashing is also discussed. The complete description of this work is given in literature.
UR - http://www.scopus.com/inward/record.url?scp=0027884452&partnerID=8YFLogxK
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AN - SCOPUS:0027884452
SN - 0818638826
T3 - IEEE Computer Vision and Pattern Recognition
SP - 695
EP - 696
BT - IEEE Computer Vision and Pattern Recognition
A2 - Anon, null
PB - Publ by IEEE
T2 - Proceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Y2 - 15 June 1993 through 18 June 1993
ER -