Image stitching by points grouping and mesh optimization

Mowen Xue; Xudong Li; Ying Liang; Hongzhi Jiang; Huijie Zhao

doi:10.1117/12.2565355

17 April 2020 Image stitching by points grouping and mesh optimization

Mowen Xue, Xudong Li, Ying Liang, Hongzhi Jiang, Huijie Zhao

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 114557J (2020) https://doi.org/10.1117/12.2565355
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

Abstract

Image stitching is a cost-effective way to expand the field-of-view of imaging system. The traditional homography-based image stitching uses a global homography transformation matrix for image transformation, which is stable, but only works well for flat scenes, relative far scenes or the scenes which are captured by the camera with rotation only. The AsProjective-As-Possible and Content-Preserving-Warping methods, which are realized by mesh optimization, improve the stitching result to a certain degree, but there is obvious ghost in the near scenes or images which have relatively large parallax. In this paper, an image stitching method which utilizes depth information and mesh optimization is proposed. The feature points are detected and then clustered, and the depth information are used to assign weights to each mesh to compute homography for each mesh respectively. Experiments show proposed method has better results than other methods.

Citation Download Citation

Mowen Xue, Xudong Li, Ying Liang, Hongzhi Jiang, and Huijie Zhao "Image stitching by points grouping and mesh optimization", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 114557J (17 April 2020); https://doi.org/10.1117/12.2565355

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KEYWORDS

Image processing

Cameras

Matrices

Distortion

Image fusion

Imaging systems

Instrumentation engineering

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