- 著者
-
Hajime Taira
Yuki Inoue
Akihiko Torii
Masatoshi Okutomi
- 出版者
- Information Processing Society of Japan
- 雑誌
- IPSJ Transactions on Computer Vision and Applications (ISSN:18826695)
- 巻号頁・発行日
- vol.7, pp.84-88, 2015 (Released:2015-07-27)
- 参考文献数
- 18
- 被引用文献数
-
1
17
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.