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» A bottom-up framework for robust facial feature detection
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CIVR
2004
Springer
149views Image Analysis» more  CIVR 2004»
15 years 1 months ago
A Framework for Semantic Classification of Scenes Using Finite State Machines
We address the problem of classifying scenes from feature films into semantic categories and propose a robust framework for this problem. We propose that the Finite State Machines ...
Yun Zhai, Zeeshan Rasheed, Mubarak Shah
ICETET
2009
IEEE
14 years 7 months ago
Face Description with Local Invariant Features: Application to Face Recognition
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
Sanjay A. Pardeshi, S. N. Talbar
CVPR
2006
IEEE
15 years 11 months ago
Inferring Facial Action Units with Causal Relations
A system that could automatically analyze the facial actions in real time have applications in a number of different fields. However, developing such a system is always a challeng...
Yan Tong, Wenhui Liao, Qiang Ji
ICPR
2006
IEEE
15 years 10 months ago
Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features
This paper brings together two recent developments in image analysis. We consider a new mathematical framework that provides illumination invariant descriptors for face detection....
Christian Bauckhage, Thomas Käster
75
Voted
ICIP
2004
IEEE
15 years 11 months ago
Robust perceptual image hashing using feature points
Perceptual image hashing maps an image to a fixed length binary string based on the image's appearance to the human eye, and has applications in image indexing, authenticatio...
Vishal Monga, Brian L. Evans