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» Face Recognition Based on 2D and 3D Features
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ICPR
2004
IEEE
15 years 10 months ago
Support Vector Machine with Local Summation Kernel for Robust Face Recognition
This paper presents Support Vector Machine (SVM) with local summation kernel for robust face recognition. In recent years, the effectiveness of SVM and local features is reported....
Kazuhiro Hotta
ICPR
2010
IEEE
14 years 7 months ago
Regression-Based Multi-view Facial Expression Recognition
We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g. mouth corn...
Ognjen Rudovic, Ioannis Patras, Maja Pantic
ICCV
2001
IEEE
15 years 11 months ago
Lambertian Reflectance and Linear Subspaces
We prove that the set of all Lambertian reflectance functions (the mapping from surface normals to intensities) obtained with arbitrary distant light sources lies close to a 9D lin...
Ronen Basri, David W. Jacobs
PCM
2001
Springer
223views Multimedia» more  PCM 2001»
15 years 2 months ago
VizWear: Toward Human-Centered Interaction through Wearable Vision and Visualization
Abstract. In this paper, we discuss the development of wearable systems which we collectively term VizWear. Vision plays an important role in both people's and computers'...
Takeshi Kurata, Takashi Okuma, Masakatsu Kourogi, ...
ACCV
2010
Springer
14 years 4 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan