Facial Image Processing
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Citation: EURASIP Journal on Image and Video Processing 2008 2007:070872
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Fusion of Appearance Image and Passive Stereo Depth Map for Face Recognition Based on the Bilateral 2DLDA
This paper presents a novel approach for face recognition based on the fusion of the appearance and depth information at the match score level. We apply passive stereoscopy instead of active range scanning as ...
Citation: EURASIP Journal on Image and Video Processing 2007 2007:038205 -
View Influence Analysis and Optimization for Multiview Face Recognition
We present a novel method to recognize a multiview face (i.e., to recognize a face under different views) through optimization of multiple single-view face recognitions. Many current face descriptors show quit...
Citation: EURASIP Journal on Image and Video Processing 2007 2007:025409 -
Robust Feature Detection for Facial Expression Recognition
This paper presents a robust and adaptable facial feature extraction system used for facial expression recognition in human-computer interaction (HCI) environments. Such environments are usually uncontrolled i...
Citation: EURASIP Journal on Image and Video Processing 2007 2007:029081 -
Localized versus Locality-Preserving Subspace Projections for Face Recognition
Three different localized representation methods and a manifold learning approach to face recognition are compared in terms of recognition accuracy. The techniques under investigation are (a) local nonnegative...
Citation: EURASIP Journal on Image and Video Processing 2007 2007:017173 -
Multispace Behavioral Model for Face-Based Affective Social Agents
This paper describes a behavioral model for affective social agents based on three independent but interacting parameter spaces: knowledge, personality, and mood. These spaces control a lower-level geometry sp...
Citation: EURASIP Journal on Image and Video Processing 2007 2007:048757 -
Real-Time 3D Face Acquisition Using Reconfigurable Hybrid Architecture
Acquiring 3D data of human face is a general problem which can be applied in face recognition, virtual reality, and many other applications. It can be solved using stereovision. This technique consists in acqu...
Citation: EURASIP Journal on Image and Video Processing 2007 2007:081387