Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras

被引:21
|
作者
Zhou, Qian-Yi [1 ]
Koltun, Vladlen [2 ]
机构
[1] Stanford Univ, Stanford, CA 94305 USA
[2] Adobe Res, San Jose, CA USA
关键词
D O I
10.1109/CVPR.2014.65
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:454 / 460
页数:7
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