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AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 3 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
PAMI
2010
249views more  PAMI 2010»
14 years 8 months ago
A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models
—In this work we propose a dynamic-texture-based approach to the recognition of facial Action Units (AUs, atomic facial gestures) and their temporal models (i.e., sequences of te...
Sander Koelstra, Maja Pantic, Ioannis Patras
80
Voted
ICCV
2003
IEEE
15 years 11 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
IVC
2007
187views more  IVC 2007»
14 years 9 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
CODES
2005
IEEE
15 years 3 months ago
An architectural level design methodology for embedded face detection
Face detection and recognition research has attracted great attention in recent years. Automatic face detection has great potential in a large array of application areas, includin...
Vida Kianzad, Sankalita Saha, Jason Schlessman, Ga...