A volumetric/iconic frequency domain representation for objects
with application for pose invariant face recognition
Ben-Arie, J.; Nandy, D.
Page(s): 449-457
Digital Object Identifier 10.1109/34.682175 Abstract
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The selection of natural scales in 2D images using adaptive Gabor
filtering
Fdez-Valdivia, J.; Garcia, J.A.; Martinez-Baena, J.; Fdez-Vidal, X.R.
Page(s): 458-469
Digital Object Identifier 10.1109/34.682176 Abstract
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Range imaging with adaptive color structured light
Caspi, D.; Kiryati, N.; Shamir, J.
Page(s): 470-480
Digital Object Identifier 10.1109/34.682177 Abstract
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A new algorithm for error-tolerant subgraph isomorphism detection
Messmer, B.T.; Bunke, H.
Page(s): 493-504
Digital Object Identifier 10.1109/34.682179 Abstract
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Veinerization: a new shape description for flexible skeletonization
Deseilligny, M.P.; Stamon, G.; Ching Y. Suen
Page(s): 505-521
Digital Object Identifier 10.1109/34.682180 Abstract
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Learning string-edit distance
Ristad, E.S.; Yianilos, P.N.
Page(s): 522-532
Digital Object Identifier 10.1109/34.682181 Abstract
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Bayesian estimation for homogeneous and inhomogeneous Gaussian
random fields
Full volumetric descriptions from three intensity images
Havaldar, P.; Medioni, G.
Page(s): 540-545
Digital Object Identifier 10.1109/34.682183 Abstract
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Energy minimization of contours using boundary conditions
Chandran, S.; Potty, A.K.
Page(s): 546-549
Digital Object Identifier 10.1109/34.682184 Abstract
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Nonlinear motion estimation using the supercoupling approach
Bober, M.; Petrou, M.; Kittler, J.
Page(s): 550-555
Digital Object Identifier 10.1109/34.682185 Abstract
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Off-line recognition of Chinese handwriting by multifeature and
multilevel classification
Yuan Y. Tang; Lo-Ting Tu; Jiming Liu; Seong-Whan Lee; Win-Win Lin
Page(s): 556-561
Digital Object Identifier 10.1109/34.682186 Abstract
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Fast design of reduced-complexity nearest-neighbor classifiers
using triangular inequality
Eel-Wan Lee; Soo-Ik Chae
Page(s): 562-566
Digital Object Identifier 10.1109/34.682187 Abstract
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On the reduction of the nearest-neighbor variation for more
accurate classification and error estimates