DocumentCode
1917035
Title
Fusing Real-Time Depth Imaging with High Precision Pose Estimation by a Measurement Arm
Author
Kahn, Svenja ; Kuijper, Arjan
Author_Institution
Fraunhofer IGD, Darmstadt, Germany
fYear
2012
fDate
25-27 Sept. 2012
Firstpage
256
Lastpage
260
Abstract
Recently, depth cameras have emerged which capture dense depth images in real-time. To benefit from their 3D imaging capabilities in interactive applications which support an arbitrary camera movement, the position and orientation of the depth camera needs to be robustly estimated in real time for each captured depth image. Therefore, this paper describes how to combine a depth camera with a mechanical measurement arm to fuse real-time depth imaging with real-time, high precision pose estimation. Estimating the pose of a depth camera with a measurement arm has three major advantages over 2D/3D image based optical pose estimation: The measurement arm has a very precise guaranteed accuracy better than 0.1mm, the pose estimation accuracy is not influenced by the captured scene and the computational load is much lower than for optical pose estimation, leaving more processing power for the applications themselves.
Keywords
augmented reality; computational geometry; image fusion; image sensors; interactive systems; pose estimation; robot vision; solid modelling; 2D image based optical pose estimation; 3D image based optical pose estimation; 3D imaging capabilities; 3D inspection; 3D modeling; arbitrary camera movement; augmented reality techniques; dense 3D geometric difference detection; dense depth image capture; depth camera orientation estimation; depth camera position estimation; depth cameras; interactive applications; mechanical measurement arm; real-time depth imaging fusion; Accuracy; Calibration; Cameras; Estimation; Position measurement; Real-time systems; Depth Imaging; Measurement Arm; Mixed Reality; Pose Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyberworlds (CW), 2012 International Conference on
Conference_Location
Darmstadt
Print_ISBN
978-1-4673-2736-7
Type
conf
DOI
10.1109/CW.2012.44
Filename
6337430
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