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Real-time 3D registration of stereo-vision based range images using GPU

Soon-Yong Park, Sung-In Choi, Jaekyoung Moon, Joon Kim, Yong Woon Park
Kyungpook Nat. Univ., Daegu, South Korea
Workshop on Applications of Computer Vision (WACV), 2009

@conference{park2009real,

   title={Real-time 3D registration of stereo-vision based range images using GPU},

   author={Park, S.Y. and Choi, S.I. and Moon, J. and Kim, J. and Park, Y.W.},

   booktitle={Applications of Computer Vision (WACV), 2009 Workshop on},

   pages={1–6},

   issn={1550-5790},

   organization={IEEE},

   year={2009}

}

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3D registration is a computer vision technique of aligning multi-view range images with respect to a reference co-ordinate system. Aligning range images is an important and time-complex step in complete 3D reconstruction. In this paper, we propose a real-time 3D registration technique by employing the accelerated computing power of GPU (graphic processing unit). In the proposed technique, complete steps of a point-to-plane 3D registration technique are implemented using CUDA, an up-to-date GPU programming technique. Using a hand-held stereo-vision sensor, we apply the proposed technique to scan real objects. Registration of a pair of range images which size is 320×240 takes about 60 milliseconds in average. Results of 3D model reconstruction and processing time analysis are shown in experiments.
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