摘要
提出一种存在遮挡的射影重建算法.该算法利用重投影点代替图像中的遮挡点,进行射影重建,经过多次迭代,最后求到遮挡点的真实图像位置并完成射影重建.该算法的优点是所有的图像及图像点都平等对待.模拟实验和真实实验表明,该射影重建算法具有鲁棒性好、收敛性好及重投影误差小等优点.
An algorithm for projective reconstruction with occlusions is presented. In this algorithm the re-projective points replace all the occlusion points, thus projective reconstruction is obtained. After several iterations , the positions of the occlusion are found and the accurate projective reconstruction could be finished. The innovation of the algorithm is that images and image points are treated uniformly. The experimental results of both simulated data and real-world data show that the algorithm is efficient and robust and it has a good property of convergence with small re-projection errors.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2007年第4期565-570,共6页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金(No.60473119)
关键词
射影重建
遮挡
线性子空间
Projective Reconstruction, Occlusions, Linear Subspace