A probabilistic quality metric for camera placement in 3D reconstructions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Robotics and Automation, ICRA 2011
Pages5899-5904
Number of pages6
DOIs
StatePublished - Dec 1 2011
Event2011 IEEE International Conference on Robotics and Automation, ICRA 2011 - Shanghai, China
Duration: May 9 2011May 13 2011

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2011 IEEE International Conference on Robotics and Automation, ICRA 2011
CountryChina
CityShanghai
Period5/9/115/13/11

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