Prof. David Casasent
|
Office:
Hamerschlag
Hall, B202
Administrative Assistant:
Marilyn L. Patete marilynp AT andrew DOT cmu DOT edu
Hamerschlag
Hall B211, (Voice)
Research Interests:
· Image processing, distortion-invariant detection and pattern recognition
· Target recognition, robotic vision, product inspection, biometric recognition
· Neural networks, support vector machines, morphological, and distortion-invariant filters
· Nonlinear algorithm fusion to improve PD and PFA
· Synthetic aperture radar, IR and EO object detection and recognition
· Hyperspectral product inspection
Current
Projects
|
Select Publications:
David Casasent and Yu-Chiang Wang, “A Hierarchial Classifier Using New Support Vector Machines for Automatic target Recognition”” , Neural Networks Special Issue, July 2005,pp 541-548
Rohit Patnaik and David Casasent, “ MINACE filter classification algorithms for ATR using MSTAR data”, Proc. SPIE, vol. 5807, pg 100-111,April 2005
Rohit Patnaik and David Casasent, “Illumination invariant face recognition and impostor rejection using different MINACE filter algorithms””, Proc of SPIE, vol. 5816, April 2005,pp 94-105
Chao Yuan and David Casasent, “ Face Recognition and Verification with Pose and Illumination Variations and Impostor Rejection”, keynote address, , Proc of SPIE, vol. 5779, April 2005,pg 247-255
Craig Watson and David Casasent, “Recognition of live-scan fingerprints with elastic distortions using correlation filters”, Optical Engineering, October 2004, pp 2274-2282
David Casasent and Xue-Wen Chen,“ Waveband selection for hyperspectral data: optimal feature selection”, Proc of SPIE 5106, October 2003, pp 259-270
Songyot
Nakariyakul and David Casasent, “ Hyperspectral
Feature Selection and Fusion for Detection of Chicken Skin Tumors” , Proc of SPIE 5271, October 2003, pp 128-139
Songyot Nakariyakul and David Casasent,“ Hyperspectral Ratio Feature Selection: Agricultural Product Inspection Example”, Proc of SPIE 5587, October 2004, pp 133-143
Selected algorithm code:
Adaptive branch and bound feature selection algorithm (created by Songyyot Nakariyakul): ABB codes.zip
Vita: Post Script format
Resume: pdf format Postscript
Current Teaching
· 18-793 Optical Image and Radar Processing (Spring)
· 18-551 Digital Communications and Signal Processing Systems Design (Fall)
Current graduate students:
Last updated October 2005