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Displaying 1-24 out of 24 total
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...
 
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...
 
Twins 3D face recognition challenge
Found in: Biometrics, International Joint Conference on
By Vipin Vijayan,Kevin W. Bowyer,Patrick J. Flynn,Di Huang,Liming Chen,Mark Hansen,Omar Ocegueda,Shishir K. Shah,Ioannis A. Kakadiaris
Issue Date:October 2011
pp. 1-7
Existing 3D face recognition algorithms have achieved high enough performances against public datasets like FRGC v2, that it is difficult to achieve further significant increases in recognition performance. However, the 3D TEC dataset is a more challenging...
 
Multiscale Surface Organization and Description for Free Form bject Recognition
Found in: Pattern Recognition, International Conference on
By Kim L. Boyer, Ravi Srikantiah, Patrick J. Flynn
Issue Date:August 2002
pp. 30569
We introduce an efficient, robust means to obtain reliable surface descriptions, suitable for free form object recognition, at multiple scales from range data. Mean and Gaussian curvatures are use to segment the surface into four saliency classes of based ...
 
Challenges in Executing Data Intensive Biometric Workloads on a Desktop Grid
Found in: Parallel and Distributed Processing Symposium, International
By Christopher Moretti, Timothy C. Faltemier, Douglas Thain, Patrick J. Flynn
Issue Date:March 2007
pp. 481
Desktop grids have traditionally focused on executing computation intensive workloads. Can they also be used to execute data-intensive workloads? To answer this question, we present a case study of a data intensive biometric application which is infeasible...
 
Multi-biometrics Using Facial Appearance, Shape and Temperature
Found in: Automatic Face and Gesture Recognition, IEEE International Conference on
By Kyong I. Chang, Kevin W. Bowyer, Patrick J. Flynn, Xin Chen
Issue Date:May 2004
pp. 43
We present results of the first study to examine individual and multi-modal face recognition using 2D, 3D and infrared images of the same set of subjects. Each sensor captures different aspects of human facial features; appearance in intensity representing...
 
Experiments in Transform-Based Range Image Compression
Found in: Pattern Recognition, International Conference on
By Richard J. Campbell, Patrick J. Flynn
Issue Date:August 2002
pp. 30875
Range images (depth maps) are seeing increased usage in a variety of application areas including entertainment, industrial automation, inspection, remote sensing, and military tactical planning. As the corpus of range imagery increases in size and the need...
 
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...
 
Multi-Modal 2D and 3D Biometrics for Face Recognition
Found in: Analysis and Modeling of Faces and Gestures, IEEE International Workshop on
By Kyong I. Chang, Kevin W. Bowyer, Patrick J. Flynn
Issue Date:October 2003
pp. 187
Results are presented for the largest experimental study to date that investigates the comparison and combination of 2D and 3D face data for biometric recognition. To our knowledge, this is also the only such study to incorporate significant time lapse bet...
 
Recognition of Free-Form Objects in Dense Range Data Using Local Features
Found in: Pattern Recognition, International Conference on
By Richard J. Campbell, Patrick J. Flynn
Issue Date:August 2002
pp. 30607
This article describes a system for recognizing free-form 3D objects in dense range data employing local features and object-centered geometric models. Local features are extracted from range images and object models using curvature analysis, and variabili...
 
Preliminary Face Recognition Grand Challenge Results
Found in: Automatic Face and Gesture Recognition, IEEE International Conference on
By P. Jonathon Phillips, Patrick J. Flynn, Todd Scruggs, Kevin W. Bowyer, William Worek
Issue Date:April 2006
pp. 15-24
The goal of the Face Recognition Grand Challenge (FRGC) is to improve the performance of face recognition algorithms by an order of magnitude over the best results in Face Recognition Vendor Test (FRVT) 2002. The FRGC is designed to achieve this performanc...
 
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...
 
On the consistency of the biometric menagerie for irises and iris matchers
Found in: Information Forensics and Security, IEEE International Workshop on
By Jeffrey Paone,Patrick J. Flynn
Issue Date:December 2011
pp. 1-6
The biometric menagerie is useful in identifying the troublesome users within a biometric recognition system. In order to maximize the benefits of the menagerie classifications, it is imperative that the classifications remain constant for each subject. Ir...
 
Multi-frame Approaches To Improve Face Recognition
Found in: Motion and Video Computing, IEEE Workshop on
By Deborah Thomas, Kevin W. Bowyer, Patrick J. Flynn
Issue Date:February 2007
pp. 19
Face recognition from video sequences is becoming an important area of biometrics research. In this work, we explore different strategies to improve face recognition performance from video. We develop a good strategy to select the smallest number of frames...
 
Facial recognition of identical twins
Found in: Biometrics, International Joint Conference on
By Matthew T. Pruitt,Jason M. Grant,Jeffrey R. Paone,Patrick J. Flynn,Richard W. Vorder Bruegge
Issue Date:October 2011
pp. 1-8
Biometric identification systems must be able to distinguish between individuals even in situations where the biometric signature may be similar, such as in the case of identical twins. This paper presents experiments done in facial recognition using data ...
 
Textured mesh generation of extracted regions from urban range-scanned LIDAR data
Found in: 2011 IEEE International Conference on Multimedia and Expo (ICME 2011)
By Alexandri Zavodny,Patrick J. Flynn, Xin Chen
Issue Date:July 2011
pp. 1-6
LIDAR range scanners are a popular tool for data acquisition in the field of urban modeling, archaeological preservation, city planning, and more. However, range scanners output a series of discrete distance samples as disconnected points, providing a fund...
 
PCA-Based Face Recognition in Infrared Imagery: Baseline and Comparative Studies
Found in: Analysis and Modeling of Faces and Gestures, IEEE International Workshop on
By Xin Chen, Patrick J. Flynn, Kevin W. Bowyer
Issue Date:October 2003
pp. 127
Techniques for face recognition generally fall into global and local approaches, with the principal component analysis (PCA) being the most prominent global approach. This paper uses the PCA algorithm to study the comparison and combination of infrared and...
 
Robust Detection of Buildings in Digital Surface Models
Found in: Pattern Recognition, International Conference on
By Prabhu Krishnamoorthy, Kim L. Boyer, Patrick J. Flynn
Issue Date:August 2002
pp. 10159
There is growing interest in the automatic interpretation of range data acquired by airborne laser scanners. Huge volumes of data involved in land use analysis and building reconstruction applications necessitate a preliminary step to focus attention on in...
 
Eigenshapes for 3D Object Recognition in Range Data
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Richard J. Campbell, Patrick J. Flynn
Issue Date:June 1999
pp. 2505
Much of the recent research in object recognition has adopted an appearance-based scheme, wherein objects to be recognized are represented as a collection of prototypes in a multidimensional space spanned by a number of characteristic vectors (eigen-images...
 
Active Clustering with Ensembles for Social structure extraction
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Jeremiah R. Barr,Leonardo A. Cament,Kevin W. Bowyer,Patrick J. Flynn
Issue Date:March 2014
pp. 969-976
We introduce a method for extracting the social network structure for the persons appearing in a set of video clips. Individuals are unknown, and are not matched against known enrollments. An identity cluster representing an individual is formed by groupin...
   
The effectiveness of face detection algorithms in unconstrained crowd scenes
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Jeremiah R. Barr,Kevin W. Bowyer,Patrick J. Flynn
Issue Date:March 2014
pp. 1020-1027
The 2013 Boston Marathon bombing represents a case where automatic facial biometrics tools could have proven invaluable to law enforcement officials, yet the lack of robustness of current tools in unstructured environments limited their utility. In this wo...
   
Finger-knuckle-print verification based on vector consistency of corresponding interest points
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Min-Ki Kim,Patrick J. Flynn
Issue Date:March 2014
pp. 992-997
This paper proposes a novel finger-knuckle-print (FKP) verification method based on vector consistency among corresponding interest points (CIPs) detected from aligned finger images. We used two different approaches for reliable detection of CIPs; one meth...
   
Iris crypts: Multi-scale detection and shape-based matching
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Feng Shen,Patrick J. Flynn
Issue Date:March 2014
pp. 977-983
This paper presents an improved framework for iris crypt detection and matching that outperforms both previous methods and manual annotations. The system uses a multi-scale pyramid architecture to detect feature candidates before they are further examined ...
   
3D gait reconstruction using two-camera markerless video
Found in: ACM SIGGRAPH 99 Conference abstracts and applications (SIGGRAPH '99)
By Kathy Johnson, Patrick J. Flynn, Rick Parent, Suba Varadarajan, Xiaoning Fu
Issue Date:August 1999
pp. 224
This paper describes a physically-based rendering system tailored to the demands of lighting design and architecture. The simulation uses a light-backwards ray-tracing method with extensions to efficiently solve the rendering equation under most conditions...
     
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