학술논문

Invariant signatures for planar shape recognition under partial occlusion
Document Type
Conference
Source
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on. :108-112 1992
Subject
Signal Processing and Analysis
Computing and Processing
Shape
Testing
Data mining
Language
Abstract
A planar shape distorted by a projective viewing transformation can be recognized under partial occlusion if an invariant description of its boundary is available. Research in this area has provided a theory for invariant boundary descriptions based on an interplay of differential, local, and global invariants. Differential invariants require high-order derivatives. The use of global invariants and point matches on the distorting transformations enables one to reduce the order. Trade-offs between the highest order derivatives required and the quantity of additional information constraining the distorting viewing transformations are made explicit.ETX