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ICCV
2009
IEEE
15 years 2 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
IDEAL
2005
Springer
14 years 3 months ago
Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image
Abstract. In human face recognition, different facial regions have different degrees of importance, and exploiting such information would hopefully improve the accuracy of the reco...
Xiaoyang Tan, Jun Liu, Songcan Chen, Fuyan Zhang
CVPR
2005
IEEE
14 years 12 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
AMFG
2003
IEEE
148views Biometrics» more  AMFG 2003»
14 years 3 months ago
Multi-Modal Face Tracking Using Bayesian Network
This paper presents a Bayesian network based multimodal fusion method for robust and real-time face tracking. The Bayesian network integrates a prior of second order system dynami...
Fang Liu, Xueyin Lin, Stan Z. Li, Yuanchun Shi
ICIP
2006
IEEE
14 years 11 months ago
Fusion of Visible and Infrared Images using Empirical Mode Decomposition to Improve Face Recognition
In this effort, we propose a new image fusion technique, utilizing Empirical Mode Decomposition (EMD), for improved face recognition. EMD is a non-parametric datadriven analysis t...
Harishwaran Hariharan, Andreas Koschan, Besma R. A...