The object localisation based on multiple image information for a humanoid robot Online publication date: Thu, 01-Sep-2016
by Qinjun Du; Yang Wang; Shuai Xu
International Journal of Computing Science and Mathematics (IJCSM), Vol. 7, No. 4, 2016
Abstract: The stable and fast segmentation of the object image is a key technology for the humanoid robot in the complex background, which attributes to identification and localisation the target object. Only using single image information cannot guarantee to accurately segment the target object image. We selected image feature information using multi-sensor information fusion method to segment the target object. The depth, colour, shape and size are the ideal image information for the robots visual perception system. Using the humanoid robot stereo vision system and the depth, colour, shape and size of four types of image information, a fast and gradually approaching target area image segmentation method has been designed. With the identification and localisation target object image method, the humanoid robot can find and locate the target object. The experiments show that based on multi-image information features, the humanoid robot can locate the target object, and the localisation accuracy has been improved.
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