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Spring 2014 GRASP Seminar: Martial Hebert, Carnegie Mellon University, "Challenges In Semantic Perception For Autonomous Systems"
Presenter: Martial Hebert (Homepage)
Friday March 21, 2014 from 11:00am to 12:00pm
Despite considerable progress in all aspects of machine perception, using machine vision in autonomous systems remains a formidable challenge. This is especially true in applications such as robotics, in which even a small error rate in the perception system can have catastrophic consequences for the overall system. This talk will review a few ideas that could be used to start formalizing the issues revolving around the integrating vision systems. They include a systematic approach to the problem of self-assessment of vision algorithm and predicting quality metrics on the inputs to the vision algorithms, ideas on how to manage multiple hypotheses generated from a vision algorithm rather than relying on a single "hard" decision, and methods for using external (non-visual) domain- and task-dependent information. These ideas will be illustrated with examples of recent vision for scene understanding, depth estimation, and object recognition.
Martial Hebert is a Professor, Robotics Institute at Carnegie-Mellon
University. His interest includes computer vision, especially
recognition in images and video data, model building and object recognition from 3D data, and
perception for mobile robots and for intelligent vehicles. His group has developed
approaches for object recognition and scene analysis in images, 3D point clouds, and video sequences.
In the area of machine perception for robotics, his group has developed techniques for people detection, tracking, and prediction, and for understanding the environment of ground vehicles from sensor data. He has served on the editorial boards the IEEE Transactions on Robotics and Automation, the IEEE transactions on Pattern Analysis and Machine Intelligence, and the International Journal of Computer Vision (for which he currently serves as Editor-in-Chief). He was Program Chair of the 2009 International Conference on Computer Vision, General Chair of the 2005 IEEE Conference on Computer Vision and Pattern Recognition and Program Chair the 2013 edition of this conference.