Carnegie Mellon Robotics Institute
|AAM Fitting Algorithms
Many varieties of algorithms for fitting Cootes and Taylor's "Active Appearance Models" are developed.
|AAMs with Occlusion
We are developing algorithms to construct AAMs from occluded training images and to efficiently fit AAMs to faces containing occlusion.
Algorithms for tracking cars and generating "bird's eye views" of the surrounding road scene.
Algorithms for estimating where someone is looking
|Prediction & Planning
This project analyses the safety and interaction of moving objects in complex road scenes.
|Setting Low-Level Vision Parameters
Techniques for feeding back information from high-level vision modules to low-level modules to improve the performance of the overall system.
We are developing an algorithm to update template tracking that avoids the "drifting" problem of the naive update algorithm.
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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