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CVPR
2007
IEEE
14 years 10 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
FGR
2011
IEEE
227views Biometrics» more  FGR 2011»
13 years 1 days ago
Warp that smile on your face: Optimal and smooth deformations for face recognition
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...
Tobias Gass, Leonid Pishchulin, Philippe Dreuw, He...
CVPR
2005
IEEE
14 years 10 months ago
Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling
Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and e...
Xiaoming Liu 0002, Tsuhan Chen
ICIP
2001
IEEE
14 years 10 months ago
A face and gesture recognition system based on an active stereo sensor
The paper presents several novel 3D image analysis algorithms, applied towards the segmentation and modeling of faces and hands. These are subsequently used to build a face-based ...
Sotiris Malassiotis, Filareti Tsalakanidou, Nikola...
3DPVT
2006
IEEE
194views Visualization» more  3DPVT 2006»
14 years 2 months ago
Expression Compensation for Face Recognition Using a Polar Geodesic Representation
This paper addresses the problem of face recognition in the presence of deformation due to expressions. Facial motion is considered as an isometric mapping between surfaces, which...
Iordanis Mpiperis, Sotiris Malassiotis, Michael G....