His primary scientific interests are in Artificial intelligence, Facial recognition system, Pattern recognition, Computer vision and Principal component analysis. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Machine learning. His research in Facial recognition system focuses on subjects like Facial expression, which are connected to Expression, Covariate and Affect.
His Linear discriminant analysis, Mahalanobis distance and Distance measures study in the realm of Pattern recognition interacts with subjects such as Cascading classifiers. Bruce A. Draper focuses mostly in the field of Computer vision, narrowing it down to topics relating to Robustness and, in certain cases, Filter, Eye tracking, Mean squared error, Frame rate and Tracking. Bruce A. Draper combines subjects such as Subspace topology and Independent component analysis with his study of Principal component analysis.
Bruce A. Draper mainly focuses on Artificial intelligence, Computer vision, Facial recognition system, Pattern recognition and Machine learning. His Artificial intelligence study frequently draws connections to other fields, such as Set. His research in the fields of Pixel, Machine vision, Color histogram and Pose overlaps with other disciplines such as Geography.
His work in Facial recognition system tackles topics such as Biometrics which are related to areas like Image quality. He interconnects Subspace topology and Linear subspace in the investigation of issues within Pattern recognition. His Machine learning research incorporates elements of Image processing and Visualization, Data mining.
Artificial intelligence, Machine learning, Computer vision, Facial recognition system and Gesture are his primary areas of study. As part of his studies on Artificial intelligence, Bruce A. Draper frequently links adjacent subjects like Pattern recognition. His research integrates issues of Visualization, Data mining and Field in his study of Machine learning.
His work in the fields of Pose and Image segmentation overlaps with other areas such as Infrared and Clutter. His Facial recognition system research includes themes of Video tracking, Feature and Biometrics. In general Gesture, his work in Gesture recognition is often linked to Body language linking many areas of study.
His main research concerns Artificial intelligence, Facial recognition system, Biometrics, Machine learning and Gesture. His studies deal with areas such as Speech recognition, Architecture and Affine transformation as well as Artificial intelligence. His Facial recognition system study contributes to a more complete understanding of Computer vision.
His Computer vision research is multidisciplinary, incorporating perspectives in Multimedia and Upload. His Biometrics study incorporates themes from Feature and Face. The Machine learning study combines topics in areas such as Contextual image classification, Data mining, Search engine indexing and Metric.
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Visual object tracking using adaptive correlation filters
David S. Bolme;J. Ross Beveridge;Bruce A. Draper;Yui Man Lui.
computer vision and pattern recognition (2010)
Recognizing faces with PCA and ICA
Bruce A. Draper;Kyungim Baek;Marian Stewart Bartlett;J. Ross Beveridge.
Computer Vision and Image Understanding (2003)
The Schema System
B. Draper;R. Collins;J. Brolio;A. Hanson.
International Journal of Computer Vision (1988)
Analyzing PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures
Wendy S. Yambor;Bruce A. Draper;J. Ross Beveridge.
The CSU face identification evaluation system: its purpose, features, and structure
David S. Bolme;J. Ross Beveridge;Marcio Teixeira;Bruce A. Draper.
international conference on computer vision systems (2003)
Average of Synthetic Exact Filters
David S Bolme;Bruce A Draper;J Ross Beveridge.
computer vision and pattern recognition (2009)
Overview of the Multiple Biometrics Grand Challenge
P. Jonathon Phillips;Patrick J. Flynn;J. Ross Beveridge;W. Todd Scruggs.
international conference on biometrics (2009)
Accelerated image processing on FPGAs
B.A. Draper;J.R. Beveridge;A.P.W. Bohm;C. Ross.
IEEE Transactions on Image Processing (2003)
PCA vs. ICA: A Comparison on the FERET Data Set.
Kyungim Baek;Bruce A. Draper;J. Ross Beveridge;Kai She.
joint international conference on information sciences (2002)
The challenge of face recognition from digital point-and-shoot cameras
J. Ross Beveridge;P. Jonathon Phillips;David S. Bolme;Bruce A. Draper.
international conference on biometrics theory applications and systems (2013)
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