Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Local search algorithms for geometric object recognition: optimal correspondence and pose
Local search algorithms for geometric object recognition: optimal correspondence and pose
A Mathematical Introduction to Robotic Manipulation
A Mathematical Introduction to Robotic Manipulation
Constraints for Recognizing and Locating Curved 3D Objects from Monocular Image Features
ECCV '92 Proceedings of the Second European Conference on Computer Vision
A Feature Map Approach to Real-Time 3-D Object Pose Estimation from Single 2-D Perspective Views
Mustererkennung 1997, 19. DAGM-Symposium
Adaptive Pose Estimation for Different Corresponding Entities
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Analysis of Orientation Problems Using Plucker Lines
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Pose and motion estimation from vision using dual quaternion-based extended kalman filtering
Pose and motion estimation from vision using dual quaternion-based extended kalman filtering
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Conditional Random People: Tracking Humans with CRFs and Grid Filters
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Three-dimensional shape knowledge for joint image segmentation and pose estimation
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
PWP3D: Real-Time Segmentation and Tracking of 3D Objects
International Journal of Computer Vision
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This article introduces a technique for region-based pose tracking of multiple objects. Our algorithm uses surface models of the objects to be tracked and at least one calibrated camera view, but does not require color, texture, or other additional properties of the objects. By optimizing a joint energy defined on the pose parameters of all objects, the proposed algorithm can explicitly handle occlusions between different objects. Tracking results in simulated as well as real world scenes demonstrate the effects of occlusion and how they are handled by the proposed method.