A Natural Shape-Preserving Stereoscopic Image Stitching
Haoqian Wang, YaZing Zhou, Xingzheng Wang, Lu Fang
Abstract
This paper presents a method for stereoscopic image stitching, which can make stereoscopic images look as natural as possible. Our method combines a constrained projective warp and a shape-preserving warp to reduce the projective distortion and the vertical disparity of the stitched image. In addition to provide a good alignment accuracy and maintain the consistency of input stereoscopic images, we add a specific restriction into the projective warp, which establishes the connection between target left and right images. To optimize the whole warp, a energy term is designed. It can constrain the shape of straight line and vertical disparity. Experimental results on a variety of stereoscopic images can ensure the efficiency of the proposed method.
BibTeX
@inproceedings{icassp2018_anaturalshapepre,
title = {A Natural Shape-Preserving Stereoscopic Image Stitching},
author = {Haoqian Wang and YaZing Zhou and Xingzheng Wang and Lu Fang},
booktitle = {ICASSP 2018},
year = {2018}
}