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Displaying 1-18 out of 18 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...
 
Video Biometrics
Found in: Image Analysis and Processing, International Conference on
By Rama Chellappa, Gaurav Aggarwal
Issue Date:September 2007
pp. 363-370
A strong requirement to come up with secure and user- friendly ways to authenticate and identify people, to safe- guard their rights and interests, has probably been the main guiding force behind biometrics research. Though a vast amount of research has be...
 
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...
 
Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Shaohua Kevin Zhou, Gaurav Aggarwal, Rama Chellappa, David W. Jacobs
Issue Date:February 2007
pp. 230-245
Traditional photometric stereo algorithms employ a Lambertian reflectance model with a varying albedo field and involve the appearance of only one object. In this paper, we generalize photometric stereo algorithms to handle all appearances of all objects i...
 
Biometric Verification: Looking Beyond Raw Similarity Scores
Found in: Computer Vision and Pattern Recognition Workshop
By Gaurav Aggarwal, Nalini K. Ratha, Ruud M. Bolle
Issue Date:June 2006
pp. 31
Most biometric verification techniques make decisions based solely on a score that represents the similarity of the query template with the reference template of the claimed identity stored in the database. When multiple templates are available, a fusion s...
 
Face Recognition in the Presence of Multiple Illumination Sources
Found in: Computer Vision, IEEE International Conference on
By Gaurav Aggarwal, Rama Chellappa
Issue Date:October 2005
pp. 1169-1176
Most existing face recognition algorithms work well for controlled images but are quite susceptible to changes in illumination and pose. This has led to the rise of analysis-by-synthesis approaches due to their inherent potential to handle these external f...
 
A System Identification Approach for Video-based Face Recognition
Found in: Pattern Recognition, International Conference on
By Gaurav Aggarwal, Amit K. Roy Chowdhury, Rama Chellappa
Issue Date:August 2004
pp. 175-178
The paper poses video-to-video face recognition as a dynamical system identification and classification problem. Video-to-video means that both gallery and probe consists of videos. We model a moving face as a linear dynamical system whose appearance chang...
 
A Novel Reconfigurable Co-Processor Architecture
Found in: VLSI Design, International Conference on
By Gaurav Aggarwal, Nitin Thaper, Kamal Aggarwal, M. Balakrishnan, Shashi Kumar
Issue Date:January 1997
pp. 370
Back-end processors have been conventionally used for speeding up of only a specific set of compute intensive functions. Such co-processors are, generally,
 
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...
 
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...
 
Model-Based OpenMP Implementation of a 3D Facial Pose Tracking System
Found in: Parallel Processing Workshops, International Conference on
By Sankalita Saha, Chung-Ching Shen, Chia-Jui Hsu, Gaurav Aggarwal, Ashok Veeraraghavan, Alan Sussman, Shuvra S. Bhattacharyya
Issue Date:August 2006
pp. 66-73
Most image processing applications are characterized by computation-intensive operations, and high memory and performance requirements. Parallelized implementation on shared-memory systems offer an attractive solution to this class of applications. However...
 
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...
 
Efficient Query Modification for Image Retrieval
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Gaurav Aggarwal, Sugata Ghosal, Pradeep Dubey
Issue Date:June 2000
pp. 2255
Content-based Image Retrieval (CBIR) involves retrieving images similar to an example query image in terms of some features extracted from the image. However, inherent subjectivity in user perception of an image results in retrieved images that are largely...
 
Dynamic Prefix Caching of videos with Lazy Update
Found in: Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology (CCSEIT '12)
By Divyashikha Sethia, Gaurav Aggarwal, Gaurav Kumar
Issue Date:October 2012
pp. 689-693
Recently, there has been a tremendous growth in accessing media content like video for both mobile and computer platforms. This trend has resulted in increase in bandwidth requirement on client and server side. Many solutions like caching video have been s...
     
Who killed my battery?: analyzing mobile browser energy consumption
Found in: Proceedings of the 21st international conference on World Wide Web (WWW '12)
By Angela Nicoara, Dan Boneh, Gaurav Aggarwal, Jatinder Pal Singh, Narendran Thiagarajan
Issue Date:April 2012
pp. 41-50
Despite the growing popularity of mobile web browsing, the energy consumed by a phone browser while surfing the web is poorly understood. We present an infrastructure for measuring the precise energy used by a mobile browser to render web pages. We then me...
     
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