Efficient feature-based image registration by mapping sparsified surfaces



Yung, Chun Pang, Choi, Gary PT, Chen, Ke ORCID: 0000-0002-6093-6623 and Lui, Lok Ming
(2018) Efficient feature-based image registration by mapping sparsified surfaces. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 55. pp. 561-571.

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Abstract

With the advancement in the digital camera technology, the use of high resolution images and videos has been widespread in the modern society. In particular, image and video frame registration is frequently applied in computer graphics and film production. However, conventional registration approaches usually require long computational time for high resolution images and video frames. This hinders the application of the registration approaches in the modern industries. In this work, we first propose a new image representation method to accelerate the registration process by triangulating the images effectively. For each high resolution image or video frame, we compute an optimal coarse triangulation which captures the important features of the image. Then, we apply a surface registration algorithm to obtain a registration map which is used to compute the registration of the high resolution image. Experimental results suggest that our overall algorithm is efficient and capable to achieve a high compression rate while the accuracy of the registration is well retained when compared with the conventional grid-based approach. Also, the computational time of the registration is significantly reduced using our triangulation-based approach.

Item Type: Article
Additional Information: publisher: Elsevier articletitle: Efficient feature-based image registration by mapping sparsified surfaces journaltitle: Journal of Visual Communication and Image Representation articlelink: https://doi.org/10.1016/j.jvcir.2018.07.005 content_type: article copyright: © 2018 Elsevier Inc. All rights reserved.
Uncontrolled Keywords: Triangulated image, Image registration, Coarse triangulation, Map interpolation
Depositing User: Symplectic Admin
Date Deposited: 23 Aug 2018 11:32
Last Modified: 19 Jan 2023 01:30
DOI: 10.1016/j.jvcir.2018.07.005
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3024256