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APGV
2004
ACM
138views Visualization» more  APGV 2004»
15 years 3 months ago
Perceptual invariance of nonlinear Focus+Context transformations
Focus+Context techniques are commonly used in visualization systems to provide both the details and the context. The "shaker paradigm", in which an image is rapidly alte...
Keith Lau, Ronald A. Rensink, Tamara Munzner
77
Voted
AUTOMATICA
2006
63views more  AUTOMATICA 2006»
14 years 10 months ago
Inference of disjoint linear and nonlinear sub-domains of a nonlinear mapping
This paper investigates new ways of inferring nonlinear dependence from measured data. The existence of unique linear and nonlinear sub-spaces which are structural invariants of g...
Douglas J. Leith, William E. Leithead, Roderick Mu...
80
Voted
DCC
2004
IEEE
15 years 10 months ago
Predicting Wavelet Coefficients Over Edges Using Estimates Based on Nonlinear Approximants
It is well-known that wavelet transforms provide sparse decompositions over many types of image regions but not over image singularities/edges that manifest themselves along curve...
Onur G. Guleryuz
101
Voted
ECCV
2004
Springer
16 years 5 days ago
Transformation-Invariant Embedding for Image Analysis
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
83
Voted
ICCV
2003
IEEE
16 years 6 days ago
Color Edge Detection by Photometric Quasi-Invariants
Photometric invariance is used in many computer vision applications. The advantage of photometric invariance is the robustness against shadows, shading, and illumination condition...
Joost van de Weijer, Theo Gevers, Jan-Mark Geusebr...