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Displaying 1-19 out of 19 total
Robust Subspace Clustering via Half-Quadratic Minimization
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Yingya Zhang,Zhenan Sun,Ran He,Tieniu Tan
Issue Date:December 2013
pp. 3096-3103
Subspace clustering has important and wide applications in computer vision and pattern recognition. It is a challenging task to learn low-dimensional subspace structures due to the possible errors (e.g., noise and corruptions) existing in high-dimensional ...
 
Graph modeling based local descriptor selection via a hierarchical structure for biometric recognition
Found in: Biometrics, International Joint Conference on
By Xiaobo Zhang,Zhenan Sun,Tieniu Tan
Issue Date:October 2011
pp. 1-6
Local descriptor based image representation is widely used in biometrics and has achieved promising results. We usually extract the most distinctive local descriptors for image sparse representation due to the large feature space and the redundancy among l...
 
Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ran He, Zhenan Sun, Tieniu Tan, Wei-Shi Zheng
Issue Date:June 2011
pp. 2889-2896
Recovering arbitrarily corrupted low-rank matrices arises in computer vision applications, including bioinformatic data analysis and visual tracking. The methods used involve minimizing a combination of nuclear norm and l^1 norm. We show that by replacing ...
 
Iris Matching Based on Personalized Weight Map
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Wenbo Dong, Zhenan Sun, Tieniu Tan
Issue Date:September 2011
pp. 1744-1757
Iris recognition typically involves three steps, namely, iris image preprocessing, feature extraction, and feature matching. The first two steps of iris recognition have been well studied, but the last step is less addressed. Each human iris has its unique...
 
Contact Lens Detection Based on Weighted LBP
Found in: Pattern Recognition, International Conference on
By Hui Zhang, Zhenan Sun, Tieniu Tan
Issue Date:August 2010
pp. 4279-4282
Spoof detection is a critical function for iris recognition because it reduces the risk of iris recognition systems being forged. Despite various counterfeit artifacts, cosmetic contact lens is one of the most common and difficult to detect. In this paper,...
 
Hierarchical Fusion of Face and Iris for Personal Identification
Found in: Pattern Recognition, International Conference on
By Xiaobo Zhang, Zhenan Sun, Tieniu Tan
Issue Date:August 2010
pp. 217-220
Most existing face and iris fusion schemes are concerned about improving performance on good quality images under controlled environments. In this paper, we propose a hierarchical fusion scheme for low quality images under uncontrolled situations. In the t...
 
Hierarchical Shape Primitive Features for Online Text-independent Writer Identification
Found in: Document Analysis and Recognition, International Conference on
By Bangy Li, Zhenan Sun, Tieniu Tan
Issue Date:July 2009
pp. 986-990
This paper proposes a novel method to text-independent writer identification from online handwriting. The main contributions of our method include two parts: shape primitive representation and hierarchical structure. Both shape primitive's features are dev...
 
Ordinal Measures for Iris Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Zhenan Sun, Tieniu Tan
Issue Date:December 2009
pp. 2211-2226
Images of a human iris contain rich texture information useful for identity authentication. A key and still open issue in iris recognition is how best to represent such textural information using a compact set of features (iris features). In this paper, we...
 
Toward Accurate and Fast Iris Segmentation for Iris Biometrics
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Zhaofeng He, Tieniu Tan, Zhenan Sun, Xianchao Qiu
Issue Date:September 2009
pp. 1670-1684
Iris segmentation is an essential module in iris recognition because it defines the effective image region used for subsequent processing such as feature extraction. Traditional iris segmentation methods often involve an exhaustive search of a large parame...
 
Boosting ordinal features for accurate and fast iris recognition
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu, Cheng Zhong, Wenbo Dong
Issue Date:June 2008
pp. 1-8
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris representation method based on regional ordinal measure encoding is presented, which ...
 
Robust 3D face recognition in uncontrolled environments
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Cheng Zhong, Zhenan Sun, Tieniu Tan, Zhaofeng He
Issue Date:June 2008
pp. 1-8
Most current 3D face recognition algorithms are designed based on the data collected in controlled situations, which leads to the un-guaranteed performance in practical systems. In this paper, we propose a Robust Local Log-Gabor Histograms (RLLGH) method t...
 
Robust 3D Face Recognition Using Learned Visual Codebook
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Cheng Zhong, Zhenan Sun, Tieniu Tan
Issue Date:June 2007
pp. 1-6
In this paper, we propose a novel learned visual codebook (LVC) for 3D face recognition. In our method, we first extract intrinsic discriminative information embedded in 3D faces using Gabor filters, then K-means clustering is adopted to learn the centers ...
 
Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Rufeng Chu, Shengcai Liao, Yufei Han, Zhenan Sun, Stan Z. Li, Tieniu Tan
Issue Date:June 2007
pp. 1-2
No summary available.
 
Iris Localization via Pulling and Pushing
Found in: Pattern Recognition, International Conference on
By Zhaofeng He, Tieniu Tan, Zhenan Sun
Issue Date:August 2006
pp. 366-369
Iris localization is a critical module in iris recognition because it defines the inner and outer boundaries of iris region used for feature analysis. State-of-the-art iris localization methods need to implement a bruteforce search of the large parameter s...
 
Ordinal Palmprint Represention for Personal Identification
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Zhenan Sun, Tieniu Tan, Yunhong Wang, Stan Z. Li
Issue Date:June 2005
pp. 279-284
Palmprint-based personal identification, as a new member in the biometrics family, has become an active research topic in recent years. Although great progress has been made, how to represent palmprint for effective classification is still an open problem....
 
Fast Recursive Mathematical Morphological Transforms
Found in: Image and Graphics, International Conference on
By Jiali Cui, Yunhong Wang, Tieniu Tan, Zhenan Sun
Issue Date:December 2004
pp. 422-425
Since many mathematical morphology operations are recursive transforms of dilation and erosion, this paper proposes fast recursive transforms to reduce computational complexity. The basic idea of the method is to compute the temporary results within a seri...
 
Robust Direction Estimation of Gradient Vector Field for Iris Recognition
Found in: Pattern Recognition, International Conference on
By Zhenan Sun, Yunhong Wang, Tieniu Tan, Jiali Cui
Issue Date:August 2004
pp. 783-786
As a reliable personal identification method, iris recognition has been receiving increasing attention. Based on the theory of robust statistics, a novel geometry-driven method for iris recognition is presented in this paper. An iris image is considered as...
 
An Iris Image Synthesis Method Based on PCA and Super-Resolution
Found in: Pattern Recognition, International Conference on
By Jiali Cui, Yunhong Wang, JunZhou Huang, Tieniu Tan, Zhenan Sun
Issue Date:August 2004
pp. 471-474
It is very important for the performance evaluation of iris recognition algorithms to construct very large iris databases. However, limited by the real conditions, there are no very large common iris databases now. In this paper, an iris image synthesis me...
 
Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ran He, Wei-Shi Zheng, Tieniu Tan, Zhenan Sun
Issue Date:February 2014
pp. 261-275
Robust sparse representation has shown significant potential in solving challenging problems in computer vision such as biometrics and visual surveillance. Although several robust sparse models have been proposed and promising results have been obtained, t...
 
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