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» A bottom-up framework for robust facial feature detection
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ICIAP
2005
ACM
15 years 9 months ago
Asymmetric 3D/2D Processing: A Novel Approach for Face Recognition
Facial image analysis is very useful in many applications such as video compression, talking heads, or biometrics. During the last few years, many algorithms have been proposed in ...
Daniel Riccio, Jean-Luc Dugelay
78
Voted
CVPR
2010
IEEE
15 years 6 months ago
Action Unit Detection with Segment-based SVMs
Automatic facial action unit (AU) detection from video is a long-standing problem in computer vision. Two main approaches have been pursued: (1) static modeling--typically posed a...
Tomas Simon, Nguyen Minh, Fernando De la Torre, Je...
CVPR
2008
IEEE
15 years 11 months ago
Image partial blur detection and classification
In this paper, we propose a partially-blurred-image classification and analysis framework for automatically detecting images containing blurred regions and recognizing the blur ty...
Renting Liu, Zhaorong Li, Jiaya Jia
CVPR
2007
IEEE
15 years 11 months ago
Skin Detail Analysis for Face Recognition
This paper presents a novel framework to localize in a photograph prominent irregularities in facial skin, in particular nevi (moles, birthmarks). Their characteristic configurati...
Jean-Sebastien Pierrard, Thomas Vetter
ICCV
2007
IEEE
15 years 4 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