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

Qian-Yi Zhou, Vladlen Koltun; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, pp. 454-460

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.

Related Material


[pdf]
[bibtex]
@InProceedings{Zhou_2014_CVPR,
author = {Zhou, Qian-Yi and Koltun, Vladlen},
title = {Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2014}
}