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Displaying 1-14 out of 14 total
Component-Based Recognition of Facesand Facial Expressions
Found in: IEEE Transactions on Affective Computing
By Sima Taheri,Vishal M. Patel,Rama Chellappa
Issue Date:October 2013
pp. 360-371
Most of the existing methods for the recognition of faces and expressions consider either the expression-invariant face recognition problem or the identity-independent facial expression recognition problem. In this paper, we propose joint face and facial e...
 
Latent Space Sparse Subspace Clustering
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Vishal M. Patel,Hien Van Nguyen,Rene Vidal
Issue Date:December 2013
pp. 225-232
We propose a novel algorithm called Latent Space Sparse Subspace Clustering for simultaneous dimensionality reduction and clustering of data lying in a union of subspaces. Specifically, we describe a method that learns the projection of data and finds the ...
 
Screen Fingerprints: A Novel Modality for Active Authentication
Found in: IT Professional
By Vishal M. Patel,Tom Yeh,Mohammed E. Fathy,Yangmuzi Zhang,Yan Chen,Rama Chellappa,Larry Davis
Issue Date:July 2013
pp. 38-42
The authors propose a new biometric modality, called a screen fingerprint, for active authentication. A screen fingerprint is acquired by taking a screen recording of the computer being used and extracting discriminative visual features from the recording....
 
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa, Nalini K. Ratha
Issue Date:September 2011
pp. 1877-1893
Noncontact biometrics such as face and iris have additional benefits over contact-based biometrics such as fingerprint and hand geometry. However, three important challenges need to be addressed in a noncontact biometrics-based authentication system: abili...
 
Information-Theoretic Dictionary Learning for Image Classification
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Qiang Qiu,Vishal M. Patel,Rama Chellappa
Issue Date:November 2014
pp. 1-1
We present a two-stage approach for learning dictionaries for object classification tasks based on the principle of information maximization. The proposed method seeks a dictionary that is compact, discriminative, and generative. In the first stage, dictio...
 
Synthesis-based recognition of low resolution faces
Found in: Biometrics, International Joint Conference on
By Sumit Shekhar,Vishal M. Patel,Rama Chellappa
Issue Date:October 2011
pp. 1-6
Recognition of low resolution face images is a challenging problem in many practical face recognition systems. Methods have been proposed in the face recognition literature for the problem when the probe is of low resolution, and a high resolution gallery ...
 
Joint Sparse Representation for Robust Multimodal Biometrics Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Sumit Shekhar,Vishal M. Patel,Nasser M. Nasrabadi,Rama Chellappa
Issue Date:January 2014
pp. 113-126
Traditional biometric recognition systems rely on a single biometric signature for authentication. While the advantage of using multiple sources of information for establishing the identity has been widely recognized, computational models for multimodal bi...
 
Adaptive representations for video-based face recognition across pose
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Yi-Chen Chen,Vishal M. Patel,Rama Chellappa,P. Jonathon Phillips
Issue Date:March 2014
pp. 984-991
In this paper, we address the problem of matching faces across changes in pose in unconstrained videos. We propose two methods based on 3D rotation and sparse representation that compensate for changes in pose. The first is Sparse Representation-based Alig...
   
Max residual classifier
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Hien V. Nguyen,Vishal M. Patel
Issue Date:March 2014
pp. 580-587
We introduce a novel classifier, called max residual classifier (MRC), for learning a sparse representation jointly with a discriminative decision function. MRC seeks to maximize the differences between the residual errors of the wrong classes and the righ...
   
Unsupervised domain adaptation using parallel transport on Grassmann manifold
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Ashish Shrivastava,Sumit Shekhar,Vishal M. Patel
Issue Date:March 2014
pp. 277-284
When designing classifiers for classification tasks, one is often confronted with situations where data distributions in the source domain are different from those present in the target domain. This problem of domain adaptation is an important problem that...
   
Component-based Recognition of Faces and Facial Expressions
Found in: IEEE Transactions on Affective Computing
By Sima Taheri,Vishal M. Patel,Rama Chellappa
Issue Date:November 2013
pp. 1
Most of the existing methods for the recognition of faces and expressions consider either the expression-invariant face recognition problem or the identity-independent facial expression recognition problem. In this paper, we propose joint face and facial e...
 
Generalized Domain-Adaptive Dictionaries
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Sumit Shekhar,Vishal M. Patel,Hien V. Nguyen,Rama Chellappa
Issue Date:June 2013
pp. 361-368
Data-driven dictionaries have produced state-of-the-art results in various classification tasks. However, when the target data has a different distribution than the source data, the learned sparse representation may not be optimal. In this paper, we invest...
 
Dictionary Learning from Ambiguously Labeled Data
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Yi-Chen Chen,Vishal M. Patel,Jaishanker K. Pillai,Rama Chellappa,P. Jonathon Phillips
Issue Date:June 2013
pp. 353-360
We propose a novel dictionary-based learning method for ambiguously labeled multiclass classification, where each training sample has multiple labels and only one of them is the correct label. The dictionary learning problem is solved using an iterative al...
 
Video-based face recognition via joint sparse representation
Found in: 2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)
By Yi-Chen Chen,Vishal M. Patel,Sumit Shekhar,Rama Chellappa,P. Jonathon Phillips
Issue Date:April 2013
pp. 1-8
In video-based face recognition, a key challenge is in exploiting the extra information available in a video; e.g., face, body, and motion identity cues. In addition, different video sequences of the same subject may contain variations in resolution, illum...
   
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