A Convenient Multi-camera Self-calibration Method Based on Human Body Motion Analysis
A novel and convenient multi-camera self-calibration method is proposed in this paper. Different from other calibration methods, our method is done by analyzing human body motion. The only constraint is that several people of different heights are needed to walk around the experimental environment one by one in the calibration period. By this way, two kinds of corresponding points are extracted from synchronous video sequences. One is the centroid of the moving human body. The other is points on the floor, which is extracted by matching floor planes in video sequences. The floor planes registration is based on shadow detection and co-motion feature. Based on these corresponding points, camera parameters and 3D points observed are estimated. The proposed method is tested in our own experimental environment. Experimental results show the accuracy of our calibration method. Our method can satisfy many applications of multi-view computer vision.
Xiuwei Zhang Yanning Zhang Xingong Zhang Tao Yang Xiaomin Tong Haichao Zhang
School of Computer Science, Northwest Polytechnical University, Xian 710072 China
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
3-8
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）