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Displaying 1-11 out of 11 total
Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery
Found in: Computer Vision, IEEE International Conference on
By Soma Biswas, Gaurav Aggarwal, Rama Chellappa
Issue Date:October 2007
pp. 1-8
In this paper, we propose a non-stationary stochastic filtering framework for the task of albedo estimation from a single image. There are several approaches in literature for albedo estimation, but few include the errors in estimates of surface normals an...
 
Symmetric Objects are Hardly Ambiguous
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Gaurav Aggarwal, Soma Biswas, Rama Chellappa
Issue Date:June 2007
pp. 1-7
Given any two images taken under different illumination conditions, there always exist a physically realizable object which is consistent with both the images even if the lighting in each scene is constrained to be a known point light source at infinity [1...
 
Efficient Indexing For Articulation Invariant Shape Matching And Retrieval
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Soma Biswas, Gaurav Aggarwal, Rama Chellappa
Issue Date:June 2007
pp. 1-8
Most shape matching methods are either fast but too simplistic to give the desired performance or promising as far as performance is concerned but computationally demanding. In this paper, we present a very simple and efficient approach that not only perfo...
 
Pose-robust albedo estimation from a single image
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Soma Biswas, Rama Chellappa
Issue Date:June 2010
pp. 2683-2690
We present a stochastic filtering approach to perform albedo estimation from a single non-frontal face image. Albedo estimation has far reaching applications in various computer vision tasks like illumination-insensitive matching, shape recovery, etc. We e...
 
Pose-Robust Recognition of Low-Resolution Face Images
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Soma Biswas,Gaurav Aggarwal,Patrick J. Flynn,Kevin W. Bowyer
Issue Date:December 2013
pp. 3037-3049
Face images captured by surveillance cameras usually have poor resolution in addition to uncontrolled poses and illumination conditions, all of which adversely affect the performance of face matching algorithms. In this paper, we develop a completely autom...
 
Multidimensional Scaling for Matching Low-Resolution Face Images
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Soma Biswas,Kevin W. Bowyer,Patrick J. Flynn
Issue Date:October 2012
pp. 2019-2030
Face recognition performance degrades considerably when the input images are of Low Resolution (LR), as is often the case for images taken by surveillance cameras or from a large distance. In this paper, we propose a novel approach for matching low-resolut...
 
A study of face recognition of identical twins by humans
Found in: Information Forensics and Security, IEEE International Workshop on
By Soma Biswas,Kevin W. Bowyer,Patrick J. Flynn
Issue Date:December 2011
pp. 1-6
Recent studies have shown that face recognition performance degrades considerably for images of identical twins. Human face matching capability is often considered as a benchmark for assessing and improving automatic face recognition algorithms. In this wo...
 
Difficult imaging covariates or difficult subjects? - An empirical investigation
Found in: Biometrics, International Joint Conference on
By Jeffrey Paone,Soma Biswas,Gaurav Aggarwal,Patrick Flynn
Issue Date:October 2011
pp. 1-8
The performance of face recognition algorithms is affected both by external factors and internal subject characteristics [1]. Reliably identifying these factors and understanding their behavior on performance can potentially serve two important goals - to ...
 
Face recognition in low-resolution videos using learning-based likelihood measurement model
Found in: Biometrics, International Joint Conference on
By Soma Biswas,Gaurav Aggarwal,Patrick J. Flynn
Issue Date:October 2011
pp. 1-7
Low-resolution surveillance videos with uncontrolled pose and illumination present a significant challenge to both face tracking and recognition algorithms. Considerable appearance difference between the probe videos and high-resolution controlled images i...
 
Robust Estimation of Albedo for Illumination-Invariant Matching and Shape Recovery
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Soma Biswas, Gaurav Aggarwal, Rama Chellappa
Issue Date:May 2009
pp. 884-899
We present a nonstationary stochastic filtering framework for the task of albedo estimation from a single image. There are several approaches in the literature for albedo estimation, but few include the errors in estimates of surface normals and light sour...
 
UMD Experiments with FRGC Data
Found in: Computer Vision and Pattern Recognition Workshop
By Gaurav Aggarwal, Soma Biswas, Rama Chellappa
Issue Date:June 2005
pp. 172
<p>Although significant work has been done in the field of face recognition, the performance of state-of-the art face recognition algorithms is not good enough to be effective in operational systems. Though most algorithms work well for controlled im...
 
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