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
Interactive learning of a multiple-attribute hash table classifier for fast object recognition
Computer Vision and Image Understanding
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)
ASSERT: a physician-in-the-loop content-based retrieval system for HRCT image databases
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Rapid prototyping models generated from machine vision data
Computers in Industry
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Handbook of Industrial Robotics
Handbook of Industrial Robotics
Invariant Fitting of Planar Objects by Primitives
IEEE Transactions on Pattern Analysis and Machine Intelligence
Including interaction in an automated modelling system
ISCV '95 Proceedings of the International Symposium on Computer Vision
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
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This paper presents a vision based human-robotic interaction (HRI) framework for the modeling and localization of industrial objects typically found in an assembly task. Automating robotic vision for complicated industrial objects is an important, yet still difficult task, especially in the stage of extracting object features. To tackle this specific problem, we have developed a new HRI system consisting of an off-line vision model acquisition, in which the object's 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 model development through collaboration between the human and robot. Finally, using a Kalman filter estimation with a proper ellipse representation, our object localization system generates ellipse hypotheses by grouping edge fragments in the scene, driven by the acquired vision model of objects. The proposed system is validated by experiments using actual industrial objects for both HRI-based object modeling and automated object localization.