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Martial Hebert
Professor

Associated centers: VASC and CFR

Email address: hebert@ri.cmu.edu

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

For more information, see my personal homepage.

Jump to: Research interests | Keywords | Labs & groups | Projects | Publications

Research interests

3-D Recognition and Model Construction

My group is investigating a number of algorithms and applications in the area of 3-D data manipulation and interpretation. This includes developing techniques for the automatic construction of three-dimensional models from large sets of views with applications to object model generation, interior mapping, and terrain map registration; and the recognition of 3-D objects in complex scenes from large databases of models.

Object Recognition in Images

We are also developing algorithms for recognizing objects in images. The approaches include nearest neighbor techniques for recognition of objects in general position in images, edge-based decision tree techniques specialized for recognizing wiry objects, and classification techniques for the identification of large classes of objects and for image segmentation in the context of natural scenes. All the approaches are based on learning classifiers from training exemplars; we are also exploring techniques for weakly-labeled training in order to reduce training overhead.

Mobile Robots

This section last updated - January 1999.

Research interest keywords

computer vision and mobile robots

Current Labs & Groups [Past labs]

Vision and Mobile Robotics Lab - Our group studies fundamental problems of Computer Vision and ground mobile robotics.
 

Current Projects [Past projects]

Advanced Sensor Based Defect Management at Construction Sites - This research project builds on, combines and extends the advances in generating 3D environments using laser scanners.
CTA Robotics - This project adresses the problems of scene interpretation and path planning for mobile robot navigation in natural environment.
Event Detection in Videos - Our event detection method can detect a wide range of actions in video by correlating spatio-temporal shapes to over-segmented videos without background subtraction.
Geometrically Coherent Image Interpretation - Understanding a 3D scene from a single image
PeepPredict - We are applying machine learning techniques to model and compute long-term and short-term trajectories of people in a variety of settings.
Quality of Life Technology Center - QoLT is a unique partnership between Carnegie Mellon and the University of Pittsburgh that brings together a cross-disciplinary team of technologists, clinicians, industry partners, end users, and other stakeholders to create revolutionary technologies that will improve and sustain the quality of life for all people.
Tartan Racing - Carnegie Mellon University is teaming with General Motors to compete in the 2007 DARPA Urban Challenge.
Urban Challenge

Recent publications [View all 221 publications]

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