Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
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
Statistical Optimization for Geometric Computation: Theory and Practice
Statistical Optimization for Geometric Computation: Theory and Practice
CRV '08 Proceedings of the 2008 Canadian Conference on Computer and Robot Vision
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This paper presents a novel approach to localizing a door handle of unknown geometry to assist in autonomous door opening. The localization is performed using data from a single CCD camera that is mounted at the end-effector of a mobile manipulator. The proposed algorithm extracts a 3D point cloud using optical flow and known camera motion provided by the manipulator. Segmentation of the point cloud is then performed, enabling the separation of the door and the handle points, which is then followed by fitting a boundary box to the door handle data. The fitted box can then be used to guide robotic grasping. The proposed algorithm has been validated using a 3D virtual scene, and the results have demonstrated the effectiveness of the proposed method to localize a door handle in an unknown environment.