3DPO: A three-dimensional part orientation system
International Journal of Robotics Research
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fitting ellipses and predicting confidence envelopes using a bias corrected Kalman filter
Image and Vision Computing - Special issue: 5th Alvey vision meeting
Finding convex edge groupings in an image
International Journal of Computer Vision
CVGIP: Image Understanding
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Robust and Efficient Detection of Salient Convex Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Picture Segmentation by a Tree Traversal Algorithm
Journal of the ACM (JACM)
Invariant Fitting of Planar Objects by Primitives
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curve Finder Combining Perceptual Grouping and a Kalman Like Fitting
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
An interactive framework for acquiring vision models of 3-D objects from 2-D images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Pose estimation of randomly organized stator housings
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
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Developing an efficient object localization system for complicated industrial objects is an important, yet difficult robotic task. To tackle this problem, we have developed a system consisting first of a vision model acquisition editor, where the object salient features are acquired through a human-in-the-loop approach. Subsequently, two feature extraction algorithms, region-growing and edge-grouping, are applied to the object scene. Finally, by Kalman filter estimation of a proper ellipse representation, our object localization system successfully generates ellipse hypotheses by grouping edge fragments in the scene. The proposed system is validated by experiments using actual industrial objects.