12.1.7 Principal Component Decompositions, Point features

Chapter Contents (Back)
Matching, Invariants. Eigen Representations. Invariants. Filters for Matching.
See also Recognition and Analysis of Faces.

Caelli, T.M.[Terry M.], Bischof, W.F.[Walter F.], Liu, Z.Q.[Zhi-Qiang],
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Wu, X.[Xing], Bhanu, B.[Bir],
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IEEE DOI 9703
BibRef
Earlier:
Gabor Wavelets for 3-D Object Recognition,
ICCV95(537-542).
IEEE DOI BibRef

Rao, R.P.N.[Rajesh P.N.], Ballard, D.H.[Dana H.],
Dynamic-Model of Visual Recognition Predicts Neural Response Properties in the Visual-Cortex,
NeurComp(9), No. 4, May 15 1997, pp. 721-763. 9706

PS File. BibRef

Ballard, D.H., Rao, R.P.N.,
Seeing Behind Occlusions,
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Springer DOI BibRef 9400
And: Univ. of RochesterURCSD-94-487, February 1994. BibRef

Rao, R.P.N.[Rajesh P.N.], Ballard, D.H.[Dana H.],
Object Indexing Using an Iconic Sparse Distributed Memory,
ICCV95(24-31).
IEEE DOI Use an "Eigen" representation of the data and match these values.
PS File. BibRef 9500

Rao, R.P.N.[Rajesh P.N.], Ballard, D.H.[Dana H.],
Natural Basis Functions and Topographic Memory for Face Recognition,
IJCAI95(xx-yy).
PS File. BibRef 9500

Rao, R.P.N.[Rajesh P.N.], Ballard, D.H.[Dana H.],
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Univ. of Rochester97.2, May 1997.
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Rao, R.P.N.[Rajesh P.N.], Ballard, D.H.[Dana H.],
A Class of Stochastic Models for Invariant Recognition, Motion, and Stereo,
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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
2-D Points with 3-D Structures .


Last update:Mar 16, 2024 at 20:36:19