Prof. B. V. K. Vijaya Kumar
at Carnegie Mellon Univ
SPIE Involvement:
Fellow status | Conference Program Committee | Conference Chair | Author | Instructor
Publications (147)

PROCEEDINGS ARTICLE | May 5, 2014
Proc. SPIE. 9094, Optical Pattern Recognition XXV
KEYWORDS: Biometrics, Facial recognition systems, Detection and tracking algorithms, Fourier transforms, Linear filtering, Image filtering, Target recognition, Automatic target recognition, Neodymium, Californium

PROCEEDINGS ARTICLE | June 10, 2013
Proc. SPIE. 8744, Automatic Target Recognition XXIII
KEYWORDS: Facial recognition systems, Video, Fourier transforms, Distortion, Image filtering, Analytical research, Target recognition, Electronic filtering, Neodymium, Californium

PROCEEDINGS ARTICLE | May 20, 2013
Proc. SPIE. 8744, Automatic Target Recognition XXIII
KEYWORDS: Infrared imaging, Image processing, Video, Distortion, Image registration, Image filtering, Analytical research, Target recognition, Automatic target recognition, Californium

PROCEEDINGS ARTICLE | May 20, 2013
Proc. SPIE. 8744, Automatic Target Recognition XXIII
KEYWORDS: Detection and tracking algorithms, Matrices, Video, Linear filtering, Image filtering, Analytical research, Automatic target recognition, Neodymium, Californium, Osmium

PROCEEDINGS ARTICLE | March 19, 2013
Proc. SPIE. 8663, Video Surveillance and Transportation Imaging Applications
KEYWORDS: Optical filters, Sensors, Video, Linear filtering, Video surveillance, Image filtering, Video processing, Nonlinear filtering, Visibility, Alternate lighting of surfaces

Showing 5 of 147 publications
Conference Committee Involvement (26)
Optical Pattern Recognition XXVII
20 April 2016 | Baltimore, Maryland, United States
Optical Pattern Recognition XXVI
22 April 2015 | Baltimore, Maryland, United States
Optical Pattern Recognition XXV
7 May 2014 | Baltimore, Maryland, United States
Optical Pattern Recognition XXIV
29 April 2013 | Baltimore, Maryland, United States
Optical Pattern Recognition XXIII
26 April 2012 | Baltimore, Maryland, United States
Showing 5 of 26 published special sections
Course Instructor
SC633: Algorithms for Biometric Recognition
Biometric recognition is becoming increasingly important for security applications. This short course is aimed at introducing several algorithms useful for biometric recognition. In particular, common recognition algorithms for face, fingerprint, iris and palmprint biometrics will be discussed. This tutorial will have the following components: motivation for biometric recognition; pattern recognition basics; performance metrics for biometric recognition; biometric recognition algorithms (Principal Component Analysis, Linear Discriminant Analysis, Correlation Filters, Artificial Neural Networks, minutiae-based fingerprint recognition methods, Iris code method for iris recognition and feature-based approaches for palmprint recognition); multi-modal biometric recognition.
SC372: PRML for Optical Data Storage
As recording densities in optical data storage systems increase, read channels must cope with increased intersymbol interference (ISI) and decreased signal-to-noise ratio (SNR). ISI can be completely eliminated, but this leads to significant reduction in SNR. A more practical alternative is to employ partial response (PR) equalization that aims at controlling the ISI instead of eliminating it. Since PR methods lead to known ISI patterns, optimal data detection can be achieved using maximum likelihood (ML) techniques such as Viterbi Algorithm. In this course, we discuss the basics of PRML and illustrate how PRML is applied to optical data storage.
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