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Displaying 1-5 out of 5 total
Synthesis-based recognition of low resolution faces
Biometrics, International Joint Conference on
By Sumit Shekhar,Vishal M. Patel,Rama Chellappa
Issue Date:October 2011
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 ...
Unsupervised domain adaptation using parallel transport on Grassmann manifold
2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Ashish Shrivastava,Sumit Shekhar,Vishal M. Patel
Issue Date:March 2014
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...
Joint Sparse Representation for Robust Multimodal Biometrics Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
By Sumit Shekhar,Vishal M. Patel,Nasser M. Nasrabadi,Rama Chellappa
Issue Date:January 2014
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...
Generalized Domain-Adaptive Dictionaries
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
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...
Video-based face recognition via joint sparse representation
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
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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