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» Statistical Models of Appearance for Computer Vision
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ECCV
2004
Springer
16 years 5 months ago
Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints
Photometric stereo algorithms use a Lambertian reflectance model with a varying albedo field and involve the appearances of only one object. This paper extends photometric stereo a...
Shaohua Kevin Zhou, Rama Chellappa, David W. Jacob...
129
Voted
ICPR
2006
IEEE
16 years 4 months ago
Object Tracking Using Globally Coordinated Nonlinear Manifolds
We present a dynamic inference algorithm in a globally parameterized nonlinear manifold and demonstrate it on the problem of visual tracking. An appearance manifold is usually non...
Che-Bin Liu, Ming-Hsuan Yang, Narendra Ahuja, Ruei...
ICCV
2007
IEEE
15 years 9 months ago
Non-Rigid Object Alignment with a Mismatch Template Based on Exhaustive Local Search
Non-rigid object alignment is especially challenging when only a single appearance template is available and target and template images fail to match. Two sources of discrepancy b...
Yang Wang, Simon Lucey, Jeffrey F. Cohn
ICPR
2010
IEEE
15 years 6 months ago
Initialisation-Free Active Contour Segmentation
We present a region based active contour model which does not require any initialisation and is capable of modelling multi-modal image regions. Its external force is based on stat...
Xianghua Xie, Majid Mirmehdi
ICCV
2009
IEEE
15 years 1 months ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu