DocumentCode :
253619
Title :
Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras
Author :
Qian-Yi Zhou ; Koltun, Vladlen
Author_Institution :
Stanford Univ., Stanford, CA, USA
fYear :
2014
fDate :
23-28 June 2014
Firstpage :
454
Lastpage :
460
Abstract :
We describe an approach for simultaneous localization and calibration of a stream of range images. Our approach jointly optimizes the camera trajectory and a calibration function that corrects the camera´s unknown nonlinear distortion. Experiments with real-world benchmark data and synthetic data show that our approach increases the accuracy of camera trajectories and geometric models estimated from range video produced by consumer-grade cameras.
Keywords :
calibration; nonlinear distortion; video cameras; video signal processing; camera trajectory; camera unknown nonlinear distortion; consumer depth camera self-calibration; consumer-grade cameras; geometric models; range images; range video; real-world benchmark data; simultaneous calibration function; simultaneous localization; synthetic data; Calibration; Cameras; Image reconstruction; Nonlinear distortion; Optimization; Trajectory; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
Conference_Location :
Columbus, OH
Type :
conf
DOI :
10.1109/CVPR.2014.65
Filename :
6909459
Link To Document :
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