Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Estimating 3-D location parameters using dual number quaternions
CVGIP: Image Understanding
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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International Journal of Computer Vision
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A Mathematical Introduction to Robotic Manipulation
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Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
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CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Pose Estimation in Conformal Geometric Algebra Part I: The Stratification of Mathematical Spaces
Journal of Mathematical Imaging and Vision
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Bayesian Classification of Image Structures
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Occlusion modeling by tracking multiple objects
Proceedings of the 29th DAGM conference on Pattern recognition
Utilizing semantic interpretation of junctions for 3D-2D pose estimation
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Nonlinear body pose estimation from depth images
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
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This paper concerns the 2D-3D pose estimation problem for different corresponding entities. Many articles concentrate on specific types of correspondences (mostly point, rarely line correspondences). Instead, in this work we are interested to relate the following image and model types simultaneously: 2D point/3D point, 2D line/3D point, 2D line/3D line, 2D conic/3D circle, 2D circle/3D sphere. Furthermore, to handle also articulated objects, we describe kinematic chains in this context in a similar manner. We further discuss the use of weighted constraint equations, and different numerical solution approaches.