A geometrical approach to model-based vision
A geometrical approach to model-based vision
Polynomial-Time Geometric Matching for Object Recognition
International Journal of Computer Vision
Efficient Pose Clustering Using a Randomized Algorithm
International Journal of Computer Vision
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Pose from 3 Points Using Weak-Perspective
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
SoftPOSIT: Simultaneous Pose and Correspondence Determination
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
SoftPOSIT: Simultaneous Pose and Correspondence Determination
International Journal of Computer Vision
Using structured light for efficient depth edge detection
Image and Vision Computing
Recovery of 3D Solar Magnetic Field Model Parameter Using Image Structure Matching
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Efficiently capturing object contours for non-photorealistic rendering
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Efficient depth edge detection using structured light
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Pose Estimation for 3D Workpiece Grasping in Industrial Environment Based on Evolutionary Algorithm
Journal of Intelligent and Robotic Systems
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We consider model-based object localization based on local geometric feature matching between the model and the image data. The method is based on geometric constraint analysis, working in transformation space. We present a formal method which guarantees finding all feasible matchings in polynomial time. From there we develop more computationally feasible algorithms based on conservative approximations of the formal method. Additionally, our formalism relates object localization, affine model indexing, and structure from multiple views to one another.