DocumentCode
1734466
Title
A transformation-invariant recursive subdivision method for shape analysis
Author
Zhu, Qiuming ; Poh, Lay-kheng
Author_Institution
Sch. of Eng. & Comput. Sci., Oakland Univ., Rochester, MI, USA
fYear
1988
Firstpage
833
Abstract
A method is presented for shape analysis by recursive subdivisions. The subdivisions are invariant with respect to translation, scaling, rotation, and intensity shifting. Eigenvectors of the second central movements are used to derive such subdivisions. A hierarchical shape description uses the invariants defined on the second central moments of the subdivisions. The approach emphasizes the local feature for recognizing object shapes as similar
Keywords
pattern recognition; picture processing; eigenvectors; hierarchical shape description; intensity shifting; pattern recognition; picture processing; rotation; scaling; shape analysis; transformation-invariant recursive subdivision method; translation; Computer science; Covariance matrix; Digital images; Eigenvalues and eigenfunctions; Equations; Image analysis; Image converters; Probability distribution; Shape; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28373
Filename
28373
Link To Document