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GRASP Special Seminar – James L Crowley, INP Grenoble & INRIA Grenoble Rhone-Alpes Research Center, “Embedded View-Invariant Visual Detection and Recognition”

December 13, 2011 @ 10:00 am - 11:00 am

Abstract:The talk describes conception and evaluation algorithms for embedded computer vision applications on the next generation mobile telephones. The integration of image sensors and embedded image processing has profoundly changed the market for mobile telephones. Mobile telephones increasingly integrate two separate image analysis systems into their basic functionality. An outward looking camera is used to not only as a recording device for photographs and films, but increasingly as smart sensor for detection and recognition of text and objects for applications such as road sign translation, business card capture, document capture, image based internet search, and text to speech. A second back-facing camera, initially implemented for two-way video communications, increasingly used for human-computer interaction and emotion capture. Embedded computer vision is increasingly emerging as the key enabling technology to competitive devices for this market.

Within project MinImage, INRIA has demonstrated a novel O(N) binomial pyramid algorithm for real time view invariant description of images. In previous deliverables, this algorithm was shown to be suitable for implementation using embedded hardware on the image pipeline, providing real time image descriptors suitable for a variety of embedded vision applications. The resulting image descriptors where shown make it possible to trade memory for computation, leading to improved performance for applications such as face detection.

We report on results for use of this technique for Real time detection and description of scale and orientation invariant interest points,Face Detection, Face recognition, Age estimation and Detection of facial action codes for emotion recognition. The experimental performance evaluation demonstrates the suitability of the resulting software for use in embedded image analysis on mobile telephones.


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James L. Crowley directs the PRIMA Research Project group of the LIG laboratory at the INRIA Grenoble research center in Montbonnot, France. He holds the post of Professor at the Institut National Polytechnique de Grenoble (INPG), where he teaches courses in Computer Vision, Signal Processing, Pattern Recognition and Artificial Intelligence at l’ENSIMAG (Ecole National Superieure d’Informatique et de Mathematiques Appliquées). From 2003 through 2006, Professor Crowley has served as director for the UMR GRAVIR laboratory (UMR 5527 CNRS, INPG, UJF, INRIA). Professor Crowley has edited two books, five special issues of journals, and authored over 180 articles on computer vision and mobile robotics. From 1994 to 1998, Prof. Crowley served coordinator ot the European Computer Vision Network (ECVnet), the EC “Network of Excellence” in Computer Vision. From 1993 to 2001, Professor Crowley coordinated the marie-Curie networks SMART and SMART II whose subject was the development of techniques for surveillance and monitoring. He has served as the technical coordinator of project ESPRIT basic research project BRA 3038/EP 7108, “Vision as Process” from 1989 to 1995. He has participated in a total of 14 European Projects since 1986 including the early FP II project P940 “Depth and Motion Analysis”. Professor Crowley was one of the first research faculty hired in January 1980 for the Carnegie Mellon University Robotics Institute. From 1982 to 1985 he directed the Laboratory for Household Robotics at CMU, where he developed systems for world modeling and navigation using computer vision and ultrasonic range sensors. Versions of these systems have been used in several commercial mobile robots.


December 13, 2011
10:00 am - 11:00 am
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