DocumentCode :
2703618
Title :
A probabilistic quality metric for camera placement in 3D reconstructions
Author :
Holec, Eric ; Papanikolopoulos, Nikolaos
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
fYear :
2011
fDate :
9-13 May 2011
Firstpage :
5899
Lastpage :
5904
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.
Keywords :
cameras; feature extraction; patient care; pattern matching; probability; solid modelling; 3D reconstruction; camera placement; feature localization; feature matching; patient tracking; probabilistic quality metric; tomotherapy; Accuracy; Approximation methods; Cameras; Measurement uncertainty; Probabilistic logic; Three dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location :
Shanghai
ISSN :
1050-4729
Print_ISBN :
978-1-61284-386-5
Type :
conf
DOI :
10.1109/ICRA.2011.5980520
Filename :
5980520
Link To Document :
بازگشت