Fast camera self-calibration for synthesizing Free Viewpoint soccer Video
Qiang Yao, Akira Kubota, Kaoru Kawakita, Keisuke Nonaka, Hiroshi Sankoh, Sei Naito
Abstract
Recently, non-fixed camera-based free viewpoint sports video synthesis has become very popular. Camera calibration is an indispensable step in free viewpoint video synthesis, and the calibration has to be done frame by frame for a non-fixed camera. Thus, calibration speed is of great significance in real-time application. In this paper, a fast self-calibration method for a non-fixed camera is proposed to estimate the homography matrix between a camera image and a soccer field model. As far as we know, it is the first time to propose constructing feature vectors by analyzing crossing points of field lines in both camera image and field model. Therefore, different from previous methods that evaluate all the possible homography matrices and select the best one, our proposed method only evaluates a small number of homography matrices based on the matching result of the constructed feature vectors. Experimental results show that the proposed method is much faster than other methods with only a slight loss of calibration accuracy that is negligible in final synthesized videos.
BibTeX
@inproceedings{icassp2017_fastcameraselfca,
title = {Fast camera self-calibration for synthesizing Free Viewpoint soccer Video},
author = {Qiang Yao and Akira Kubota and Kaoru Kawakita and Keisuke Nonaka and Hiroshi Sankoh and Sei Naito},
booktitle = {ICASSP 2017},
year = {2017}
}