- Volume 17 Issue 3
DOI QR Code
Spherical Panorama Image Generation Method using Homography and Tracking Algorithm
호모그래피와 추적 알고리즘을 이용한 구면 파노라마 영상 생성 방법
- Received : 2016.12.15
- Accepted : 2017.02.26
- Published : 2017.03.28
Panorama image is a single image obtained by combining images taken at several viewpoints through matching of corresponding points. Existing panoramic image generation methods that find the corresponding points are extracting local invariant feature points in each image to create descriptors and using descriptor matching algorithm. In the case of video sequence, frames may be a lot, so therefore it may costs significant amount of time to generate a panoramic image by the existing method and it may has done unnecessary calculations. In this paper, we propose a method to quickly create a single panoramic image from a video sequence. By assuming that there is no significant changes between frames of the video such as in locally, we use the FAST algorithm that has good repeatability and high-speed calculation to extract feature points and the Lucas-Kanade algorithm as each feature point to track for find the corresponding points in surrounding neighborhood instead of existing descriptor matching algorithms. When homographies are calculated for all images, homography is changed around the center image of video sequence to warp images and obtain a planar panoramic image. Finally, the spherical panoramic image is obtained by performing inverse transformation of the spherical coordinate system. The proposed method was confirmed through the experiments generating panorama image efficiently and more faster than the existing methods.
Panorama;Spherical Coordinate System;Lucas-Kanade;Feature Point Tracking;Homography
Supported by : 중소기업청
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