Authors:
Kai-Chi Chan
and
Yiu-Sang Moon
Affiliation:
The Chinese University of Hong Kong, Hong Kong
Keyword(s):
Image stitching, Feature matching.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Informatics in Control, Automation and Robotics
;
Matching Correspondence and Flow
;
Mathematical Morphology
;
Motion, Tracking and Stereo Vision
;
Multi-View Geometry
;
Signal Processing, Sensors, Systems Modeling and Control
;
Stereo Vision and Structure from Motion
Abstract:
A wide view image can be generated from a collection of images. Its field of view can be expanded as much as to capture a 360º scene. Common approaches, like panorama, mosaic, assume all source images are taken at the same camera center by pure rotation. However, this assumption limits the quality and feasibility of the generated images. In this paper, the problem of generating a wide view image from multiple viewpoint images is formulated. A simple and novel way is proposed to loosen the single viewpoint constraint. A wide view image is generated by 1) transforming images from different viewpoints into a unified viewpoint using SIFT feature matching, etc; 2) stitching the transformed images together by overlapping. Test results demonstrate that the proposed method is an efficient way for stitching images from different viewpoints.