文章基本信息

标题：Robust Feature Matching for Distorted Projection by Spherical Cameras
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作者：Hajime Taira ; Yuki Inoue ; Akihiko Torii 等
期刊名称：Information and Media Technologies
电子版ISSN：1881-0896
出版年度：2015
卷号：10
期号：3
页码：478-482
DOI：10.11185/imt.10.478
出版社：Information and Media Technologies Editorial Board
摘要：In this work, we proposes a simple yet effective method for improving performance of local feature matching among equirectangular cylindrical images, which brings more stable and complete 3D reconstruction by incremental SfM. The key idea is to exiplictly generate synthesized images by rotating the spherical panoramic images and to detect and describe features only from the less distroted area in the rectified panoramic images. We demonstrate that the proposed method is advantageous for both rotational and translational camera motions compared with the standard methods on the synthetic data. We also demonstrate that the proposed feature matching is beneficial for incremental SfM through the experiments on the Pittsburgh Reserach dataset.
关键词：feature matching;omnidirectional vision;Structure from Motion