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AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 6 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
ICIAR
2010
Springer
15 years 5 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
103
Voted
CVPR
2007
IEEE
16 years 2 months ago
A Multi-Resolution Dynamic Model for Face Aging Simulation
In this paper we present a dynamic model for simulating face aging process. We adopt a high resolution grammatical face model[1] and augment it with age and hair features. This mo...
Jin-Li Suo, Feng Min, Song Chun Zhu, Shiguang Shan...
ICIAP
2005
ACM
16 years 19 days ago
Asymmetric 3D/2D Processing: A Novel Approach for Face Recognition
Facial image analysis is very useful in many applications such as video compression, talking heads, or biometrics. During the last few years, many algorithms have been proposed in ...
Daniel Riccio, Jean-Luc Dugelay
80
Voted
NORDICHI
2006
ACM
15 years 6 months ago
The FaceReader: measuring instant fun of use
Recently, more and more attention has been paid to emotions in the domain of Human-Computer Interaction. When evaluating a product, one can no longer ignore the emotions a product...
Bieke Zaman, Tara Shrimpton-Smith