Model-based image matching using location
Model-based image matching using location
The combinatorics of local constraints in model-based recognition and localization from sparse data
Journal of the ACM (JACM)
3DPO: A three-dimensional part orientation system
International Journal of Robotics Research
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
Mobile Robot Localization Using Sonar
IEEE Transactions on Pattern Analysis and Machine Intelligence
Localizing Overlapping Parts by Searching the Interpretation Tree
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching geometrical descriptions in three-space
Image and Vision Computing - Special issue: papers from the second Alvey Vision Conference
Model-based recognition using 3D structure from motion
Image and Vision Computing - Special issue: papers from the second Alvey Vision Conference
Two-dimensional, model-based, boundary matching using footprints
International Journal of Robotics Research
International Journal of Robotics Research
Feature-Based Tactile Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Picture Segmentation by a Tree Traversal Algorithm
Journal of the ACM (JACM)
A Sufficient Condition for Backtrack-Free Search
Journal of the ACM (JACM)
Synthesizing constraint expressions
Communications of the ACM
Partial Shape Recognition: A Landmark-Based Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Recognizing and Positioning Curved 3-D Objects from Image Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Object Recognition Using Bipartite Matching Embedded in Discrete Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based object recognition in dense-range images—a review
ACM Computing Surveys (CSUR)
On the Recognition and Location of Partially Occluded Objects
Journal of Intelligent and Robotic Systems
Partially occluded object recognition
International Journal of Computer Applications in Technology
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The problem of determining the identity and pose of occluded objects from noisy data is examined. Previous work has shown that local measurements of the position and surface orientation of small patches of an object's surface may be used in a constrained search process to solve this problem, for the case of rigid polygonal objects using 2-D sensory data, or rigid polyhedral objects using 3-D data. The recognition system is extended to recognize and locate curved objects. The extension is done in two dimensions, and applies to the recognition of 2-D objects from 2-D data, or to the recognition of the 3-D objects in stable positions from 2-D data.