The use of maximum curvature points for the recognition of partially occluded objects
- 31 December 1990
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 23 (1-2) , 21-33
- https://doi.org/10.1016/0031-3203(90)90046-n
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Methodologies in pattern recognition and image analysis—A brief surveyPattern Recognition, 1987
- Recognition of occluded objects: A cluster-structure algorithmPattern Recognition, 1987
- Hierarchical matching using relaxationComputer Vision, Graphics, and Image Processing, 1986
- Model-based recognition in robot visionACM Computing Surveys, 1986
- Automated Visual Inspection: A SurveyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1982
- Recognizing and Locating Partially Visible Objects: The Local-Feature-Focus MethodThe International Journal of Robotics Research, 1982
- Improving Consistency and Reducing Ambiguity in Stochastic Labeling: An Optimization ApproachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1981
- A Simplified Algorithm for Obtaining Approximate Solutions to Zero-One Programming ProblemsManagement Science, 1975
- Angle Detection on Digital CurvesIEEE Transactions on Computers, 1973
- A method of comparing two patterns independent of possible transformations and small distortionsPattern Recognition, 1972