Progress on Target and Terrain Recognition Research at Colorado State University.
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- Type
- report
- Published
- 1995-12-16
- Cited by
- 4
- References
- 31
- Access
- Open access
- OpenAlex
- https://openalex.org/W15056094
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9160617
Keywords
Terrain, Computer science, Artificial intelligence, Computer vision, Matching (statistics)
References
- Coregistering 3D Models, Range, and Optical Imagery Using Least-Median Squares Fitting.
- Perceptual organization and visual recognition
- Local Search as a Tool for Horizon Line Matching.
- Optical Linear Feature Detection Based on Model Pose.
- Local search algorithms for geometric object recognition: optimal correspondence and pose
- Scale specific and robust edge/line encoding with linear combinations of Gabor wavelets
- The Design and Use of Steerable Filters
- Model-based fusion of FLIR, color, and ladar
- Robust methods for estimating pose and a sensitivity analysis
- Nonparametric classification of pixels under varying outdoor illumination
- Optimal geometric model matching under full 3D perspective
- Coregistration of range and optical images using coplanarity and orientation constraints
- Goal-Directed Classification Using Linear Machine Decision Trees
- A Computational Approach to Edge Detection
- Extracting Straight Lines
- Interleaving 3D model feature prediction and matching to support multi-sensor object recognition
- A parallel algorithm for polygon rasterization
- Edge Detection
- Reduction of BRL / CAD Models and Their Use in Automatic Target Recognition Algorithms
- Robust Methods for Estimating Pose and a Sensitivity Analysis
Cited by
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