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» Multi-valued Images and Their Separation
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CVPR
2009
IEEE
17 years 1 months ago
Material Classification using BRDF Slices
Segmenting images into distinct material types is a very useful capability. Most work in image segmentation addresses the case where only a single image is available. Some methods ...
Oliver Wang (University of California, Santa Cruz)...
ICCV
2005
IEEE
16 years 8 months ago
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition
Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy. This is evident most compellingly by the very low recog...
Kui Jia, Shaogang Gong
ICIP
2006
IEEE
16 years 8 months ago
Aggregated Dynamic Background Modeling
Standard practices in background modeling learn a separate model for every pixel in the image. However, in dynamic scenes the connection between an observation and the place where...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
ICIP
2004
IEEE
16 years 8 months ago
Estimating the phase congruency of localised frequencies
Phase congruency is a new method for detecting features in images. One of its significant strengths is its invariance to lighting variation within an image, as well as being able ...
Peter Myerscough, Mark S. Nixon
MICCAI
2003
Springer
16 years 7 months ago
A New Brain Segmentation Framework
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
Torsten Butz, Patric Hagmann, Eric Tardif, Reto Me...