An effective evaluation measurement for image stitching based on SIFT algorithm

Jiesheng Huang; Jian Yao; Bingcheng Qiu; Jing Wang

doi:10.1117/12.2674738

23 May 2023 An effective evaluation measurement for image stitching based on SIFT algorithm

Jiesheng Huang, Jian Yao, Bingcheng Qiu, Jing Wang

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126043I (2023) https://doi.org/10.1117/12.2674738
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

Image stitching is widely used in computer vision where it is often necessary to first manually specify the “left to right” or “right to left” transformation. To solve the problem of evaluating which stitching mode is better, on the basis of studying of SIFT algorithm’s image stitching, this paper calculates the polygons after perspective transformation by analyzing two methods of homography matrices and proposes an measurement that refers to the degree of blurring caused by the oblique angle on the long side of the transformed polygon rectangle as stretching degree. It was used as one of the evaluation index for the quality of image stitching. The experimental results show that this measure can more automatic and robust to choose the better mode of image stitching.

Citation Download Citation

Jiesheng Huang, Jian Yao, Bingcheng Qiu, and Jing Wang "An effective evaluation measurement for image stitching based on SIFT algorithm", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126043I (23 May 2023); https://doi.org/10.1117/12.2674738

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