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» Robust Face Matching Under Large Occlusions
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MVA
2007
309views Computer Vision» more  MVA 2007»
13 years 4 months ago
Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation
We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...
Ping-Han Lee, Yun-Wen Wang, Jison Hsu, Ming-Hsuan ...
ECCV
2010
Springer
13 years 10 months ago
Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary
Abstract. By coding the input testing image as a sparse linear combination of the training samples via l1-norm minimization, sparse representation based classification (SRC) has b...
IBPRIA
2007
Springer
13 years 11 months ago
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
CIVR
2007
Springer
13 years 11 months ago
Comparison of face matching techniques under pose variation
The ability to match faces in video is a crucial component for many multimedia applications such as searching and recognizing people in semantic video browsing, surveillance and h...
Bart Kroon, Alan Hanjalic, Sabri Boughorbel
CVPR
2009
IEEE
15 years 10 days ago
Memory-based particle filter for face pose tracking robust under complex dynamics
A novel particle filter, the Memory-based Particle Filter (M-PF), is proposed that can visually track moving objects that have complex dynamics. We aim to realize robustness aga...
Dan Mikami (NTT), Kazuhiro Otsuka (NTT), Junji YAM...