Robust feature matching for distorted projection by spherical cameras

被引：0

作者：

Department of Mechanical and Control Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology, Meguro, Tokyo ^{[1
]}

152-8550, Japan

机构：

来源：

IPSJ Trans. Comput. Vis. Appl. | / 84-88期

基金：

日本学术振兴会;

关键词：

3D reconstruction - Cylindrical images - Feature matching - Improving performance - Omni-directional vision - Panoramic images - Structure from motion - Synthesized images;

D O I：

10.2197/ipsjtcva.7.84

中图分类号：

学科分类号：

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. © 2015 Information Processing Society of Japan.

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