A Probabilistic Quality Metric for Camera Placement in 3D Reconstructions

摘要：

This paper describes the use of a probabilistic quality metric for planning camera placement for 3D reconstructions. A probabilistic quality metric estimates the probability of a reconstruction achieving a desired goal. This probabilistic model leads to the natural integration of many different factors influencing the quality of a reconstruction without relying on arbitrary weights for those factors. The specific factors addressed here are occlusions, feature matching, and feature localization. It is demonstrated how these factors impact the quality of a reconstruction and how they can be accounted for in a probabilistic manner. The developed quality metric is then used to optimize a camera network for patient tracking during tomotherapy.

作者: Eric Holec Nikolaos Papanikolopoulos

作者单位: Department of Computer Science and Engineering,University of Minnesota

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

会议地点: 上海

会议语种:英文

页码: 5899-5904

在线出版日期: 2011-05-09（万方平台首次上网日期，不代表论文的发表时间）