Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Visual Recognition Using the Hausdorff Distance
Efficient Visual Recognition Using the Hausdorff Distance
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
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
Pose Estimation in Conformal Geometric Algebra Part I: The Stratification of Mathematical Spaces
Journal of Mathematical Imaging and Vision
Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
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Industrial part assembly has come a long way and so has visual quality inspection. Nevertheless, the key issue in automated industrial quality inspection, i.e. the pose recovery of the objects under inspection, is still a challenging task for assemblies with more than two rigid parts. This paper presents a system for the pose recovery of assemblies consisting of an arbitrary number of rigid subparts. In an offline stage, the system extracts edge information from CAD models. Online, the system uses a novel kernel particle filter to recover the full pose of the visible subparts of the assembly under inspection. The accuracy of the pose estimation is evaluated and compared to state-of-the-art systems.