| Multi-Disciplinary Techniques for Understanding Time-Varying Space-Based-Imagery. (2002) | |||||||||
Abstract | |||||||||
| This project is a multidisciplinary effort between 3 departments and principal investigators. It intends to combine: pattern recognition, image understanding and artificial intelligence techniques for space-based image processing as well as: optical and digital processing methods. Optical feature extraction and sub-pixel target detection and tracking results are summarized. Scene representation and modeling work using: probabilistic graph matching, multiple resolution rotation-invariant operators and texture analysis are detailed. Image understanding techniques for 3D scene interpretation discussed include 2D image-level methods (using features such as edges, lines and corners) and 3D scene-level methods. New dynamic programming, stereo image and model building results are included. (Author) | |||||||||
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