Title :
Plane detection for Kinect image sequences
Author :
Suttasupa, Yuttana ; Sudsang, Attawith ; Niparnan, Nattee
Author_Institution :
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
Ability to effectively and efficiently detect planes is very useful for mobile robot navigation. This is because plane structures are abundant in man-made environment. Existing methods for plane detection are derived for different kinds of input data. In this paper, we propose a plane detection method for image sequences from Kinect. The algorithm takes into account the limitation of the Kinect´s depth camera by using visual data to help detect planes beyond accessible range of the depth camera. Unlike other plane detection methods, sequence of images from Kinect is also used for plane tracking which helps increase accuracy and automatically provides odometry information. The algorithm is implemented and preliminary experimental results are presented.
Keywords :
cameras; distance measurement; image sequences; mobile robots; path planning; robot vision; Kinect depth camera; Kinect image sequence; man-made environment; mobile robot navigation; odometry information; plane detection method; plane structure; plane tracking; visual data; Cameras; Color; Feature extraction; Image color analysis; Image segmentation; Noise; Three dimensional displays;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on
Conference_Location :
Karon Beach, Phuket
Print_ISBN :
978-1-4577-2136-6
DOI :
10.1109/ROBIO.2011.6181413