SIASM: Sparsity-based image alignment and stitching method for robust image mosaicking

Yuelong Li, Vishal Monga

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations

    Abstract

    Image alignment and stitching continue to be the topics of great interest. Image mosaicking is a key application that involves both alignment and stitching of multiple images. Despite significant previous effort, existing methods have limited robustness in dealing with occlusions and local object motion in different captures. To address this issue, we investigate the potential of applying sparsity-based methods to the task of image alignment and stitching. We formulate the alignment problem as a low-rank and sparse matrix decomposition problem under incomplete observations (multiple parts of a scene), and the stitching problem as a multiple labeling problem which utilizes the sparse components. Additionally we develop efficient algorithms for solving them. Unlike typical pairwise alignment manners in classical image alignment algorithms, our algorithm is capable of simultaneously aligning multiple images, making full use of inter-frame relationships among all images. Experimental results demonstrate that the proposed algorithm is capable of generating artifact-free stitched image mosaics that are robust against occlusions and object motion.

    Original languageEnglish (US)
    Title of host publication2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
    PublisherIEEE Computer Society
    Pages1828-1832
    Number of pages5
    ISBN (Electronic)9781467399616
    DOIs
    StatePublished - Aug 3 2016
    Event23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States
    Duration: Sep 25 2016Sep 28 2016

    Publication series

    NameProceedings - International Conference on Image Processing, ICIP
    Volume2016-August
    ISSN (Print)1522-4880

    Other

    Other23rd IEEE International Conference on Image Processing, ICIP 2016
    CountryUnited States
    CityPhoenix
    Period9/25/169/28/16

    All Science Journal Classification (ASJC) codes

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

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  • Cite this

    Li, Y., & Monga, V. (2016). SIASM: Sparsity-based image alignment and stitching method for robust image mosaicking. In 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (pp. 1828-1832). [7532674] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2016-August). IEEE Computer Society. https://doi.org/10.1109/ICIP.2016.7532674