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CVPR
2004
IEEE
16 years 9 months ago
Invariant Operators, Small Samples, and the Bias-Variance Dilemma
Invariant features or operators are often used to shield the recognition process from the effect of "nuisance" parameters, such as rotations, foreshortening, or illumina...
Xiaojin Shi, Roberto Manduchi
ICCV
2007
IEEE
16 years 8 months ago
Vector Quantizing Feature Space with a Regular Lattice
Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent ...
Tinne Tuytelaars, Cordelia Schmid
ECCV
2006
Springer
16 years 8 months ago
Fast Memory-Efficient Generalized Belief Propagation
Generalized Belief Propagation (gbp) has proven to be a promising technique for performing inference on Markov random fields (mrfs). However, its heavy computational cost and large...
M. Pawan Kumar, Philip H. S. Torr
ICIP
2007
IEEE
16 years 8 months ago
Unsupervised Lips Segmentation Based on ROI Optimisation and Parametric Model
Lips segmentation is a very important step in many applications such as automatic speech reading, MPEG-4 compression, special effects, facial analysis and emotion recognition. In ...
Christian Bouvier, Pierre-Yves Coulon, Xavier Mald...
ICIP
2005
IEEE
16 years 8 months ago
Combining interest points and edges for content-based image retrieval
Abstract-- This paper presents a novel approach using combined features to retrieve images containing specific objects, scenes or buildings. The content of an image is characterize...
Junqiu Wang, Hongbin Zha, Roberto Cipolla
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