Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
IEEE Transactions on Pattern Analysis and Machine Intelligence
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Polygons to Recognize and Locate Partially Occluded Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of occluded objects: a cluster-structure algorithm
Pattern Recognition
Two-dimensional, model-based, boundary matching using footprints
International Journal of Robotics Research
Partial Shape Recognition Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Recognition of Curved Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Art and Theory of Dynamic Programming
Art and Theory of Dynamic Programming
Shape recognition: a landmark-based approach
Shape recognition: a landmark-based approach
The Tractability of Segmentation and Scene Analysis
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Recognition and Location of Partially Occluded Objects
Journal of Intelligent and Robotic Systems
Partially Occluded Object Recognition Using Statistical Models
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching and Retrieval of Distorted and Occluded Shapes Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition Letters
Machine Vision and Applications
Automatic Hierarchical Classification of Silhouettes of 3D Objects
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Partially occluded object recognition
International Journal of Computer Applications in Technology
Multiple polyline to polygon matching
ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
Occluded 3d object recognition using partial shape and octree model
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
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A method of recognizing partially occluded objects is presented in which each object is represented by a set of landmarks. Given a scene consisting of partially occluded objects, a model object in the scene is hypothesized by matching the landmarks of the model with those in the scene. A measure of similarity between two landmarks is needed to perform this matching. A local shape measure, sphericity, is introduced. It is shown that any invariant function under a similarity transformation is a function of the sphericity. To match landmarks between the model and the scene, a table of compatibility is constructed. A technique, known as hopping dynamic programming, is described to guide the landmark matching through the compatibility table. The location of the model in the scene is estimated with a least-squares fit among the matched landmarks. A heuristic measure is then computed to decide if the model is in the scene.