DocumentCode :
2011392
Title :
The Kinect up close: Adaptations for short-range imaging
Author :
Draelos, Mark ; Deshpande, Nikhil ; Grant, Edward
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
fYear :
2012
fDate :
13-15 Sept. 2012
Firstpage :
251
Lastpage :
256
Abstract :
With proper calibration of its color and depth cameras, the Kinect can capture detailed color point clouds at up to 30 frames per second. This capability positions the Kinect for use in robotics as a low-cost navigation sensor. Thus, techniques for efficiently calibrating the Kinect depth camera and altering its optical system to improve suitability for imaging short-range obstacles are presented. To perform depth calibration, a calibration rig and software were developed to automatically map raw depth values to object depths. The calibration rig consisted of a traditional chessboard calibration target with easily locatable features in depth at its exterior corners that facilitated software extraction of corresponding object depths and raw depth values. To modify the Kinect´s optics for improved short-range imaging, Nyko´s Zoom adapter was used due to its simplicity and low cost. Although effective at reducing the Kinect´s minimum range, these optics introduced pronounced distortion in depth. A method based on capturing depth images of planar objects at various depths produced an empirical depth distortion model for correcting such distortion in software. Together, the modified optics and the empirical depth undistortion procedure demonstrated the ability to improve the Kinect´s resolution and decrease its minimum range by approximately 30%.
Keywords :
calibration; collision avoidance; image colour analysis; image sensors; mobile robots; robot vision; Kinect; Nyko zoom adapter; calibration rig; color cameras; color point clouds; depth calibration; depth cameras; depth distortion model; low-cost navigation sensor; robotics; short-range imaging; short-range obstacles; Calibration; Cameras; Lenses; Optical distortion; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012 IEEE Conference on
Conference_Location :
Hamburg
Print_ISBN :
978-1-4673-2510-3
Electronic_ISBN :
978-1-4673-2511-0
Type :
conf
DOI :
10.1109/MFI.2012.6343067
Filename :
6343067
Link To Document :
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