Metric 3D Reconstruction from Uncalibrated Unordered Images with Hierarchical Merging

摘要：

This paper considers metric 3D reconstruction with hierarchical merging. We first describe pairwise matching of images for spanning tree construction. The epipolar constraint is imposed on two related vertices. We then present a partition method to group the images into duplets or triplets for partial reconstruction. A robust hierarchical scheme that merges partial reconstruction together is used to form a complete projective one. Finally, we describe a robust self-calibration method, allowing for more reliable upgrade to metric geometry. The proposed scheme could handle uncalibrated unordered images and was tested on real images. Experimental results show that it can give correct scene structure and camera motion across multiple widely separated images

关键词： hierarchical merging unordered images metric 3D reconstruction

作者: Jing Chen Baozong Yuan

作者单位: Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1169-1172

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）