A Linear Discriminant Analysis Framework Based on Random Subspace for Face Recognition (2008)
Linear Discriminant Analysis (LDA) often suffers from the small sample size problem when dealing with high dimensional face data. Random subspace can effectively solve this problem by random sampling...
FACE RECOGNITION BASED ON KERNEL RADIAL BASIS FUNCTION NETWORKS (2008)
Linear subspace analysis has been extensively applied to face recognition. However, a linear subspace can not describe the nonlinear variations of face images. Alternatively, a kernel feature space...
State-Based Visibility for 3D Reconstruction from Multiple Views (2008)
Zhang, Liuxin, Yang, Yumo, Jia, Yunde
Estimating visibility is one of the most important steps for multi-view reconstruction using volumetric scene representation. In this paper, we propose a simple approach to estimating visibility...
State-Based Visibility for 3D Reconstruction from Multiple Views (2008)
Zhang, Liuxin, Yang, Yumo, Jia, Yunde
Estimating visibility is one of the most important steps for multi-view reconstruction using volumetric scene representation. In this paper, we propose a simple approach to estimating visibility...
A Multi-Cue-Based Human Body Tracking System (2007)
Xu, Yihua, Deng, Xiao, Jia, Yunde
This paper presents a real-time vision-based system for the tracking of human upper body with both color images and depth maps. We combine the color-histogram-based particle filtering and mean shift...
A Constrained Alternating Optimization Framework for Feature Matching (2007)
This paper proposes a constrained alternating optimization framework to tackle the feature matching problem with partial matching and multiple matching. We model the difference between pairing...
EyeScreen: A Vision-Based Desktop Interaction System (2007)
Xu, Yihua, Lv, Jingjun, Li, Shanqing, Jia, Yunde
EyeScreen provides a natural HCI interface with vision-based hand tracking and gesture recognition techniques. Multi-view video images captured from two cameras facing a computer screen are used to...
Liu, Xiabi, Jia, Yunde, Tan, Ming
This paper proposes a model-based approach to extract natural strokes in handwritten Chinese character images. We model the distortion between an input stroke and its counterpart in the character...
Liu, Xiabi, Jia, Yunde, Tan, Ming
This paper proposes a model-based approach to extract natural strokes in handwritten Chinese character images. We model the distortion between an input stroke and its counterpart in the character...
Liu, Xiabi, Jia, Yunde, Tan, Ming
This paper proposes a model-based approach to extract natural strokes in handwritten Chinese character images. We model the distortion between an input stroke and its counterpart in the character...
Liu, Xiabi, Jia, Yunde, Tan, Ming
This paper proposes a model-based approach to extract natural strokes in handwritten Chinese character images. We model the distortion between an input stroke and its counterpart in the character...
Liu, Xiabi, Jia, Yunde, Tan, Ming
This paper proposes a model-based approach to extract natural strokes in handwritten Chinese character images. We model the distortion between an input stroke and its counterpart in the character...
Non-negative matrix factorization framework for face recognition (2005)
Yuan Wang, Yunde Jia, Changbo Hu, Matthew Turk
Non-negative Matrix Factorization (NMF) is a part-based image representation method which adds a non-negativity constraint to matrix factorization. NMF is compatible with the intuitive notion of...
Fisher non-negative matrix factorization for learning local features (2004)
In this paper, we propose a novel subspace method called Fisher non-negative matrix factorization (FNMF) for face recognition. FNMF is based on non-negative matrix factorization (NMF), which is a...