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Multiview Image Registration

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Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 1

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 50))

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Abstract

Human brain mosaics the split images of a very large object which have been captured through eyes and each eye functions as a camera lens. But, it is not possible to cover very large area with the help of single eye than a pair of eyes. Similarly, multi view registration is essential because it may not be possible to capture a large object with a given camera in a single exposure. The field of view (FOV) of the commercial camera is much smaller than that of humans. Multiview image registration is an extremely challenging problem because of large degree of variability of the input data such as the images that are to be registered may contain visual information belonging to very different domains and can undergo many geometric distortions such as scaling, rotations, projective transformations, non rigid perturbations of the scene structure, temporal variations, and photometric changes due to different acquisition modalities and lighting conditions [1]. In proposed algorithm, transformation parameters are estimated using affine warp for corresponding matching points for the images to be registered. Here LM(Levenberg-Marquardt) optimization algorithm is used to optimize transformation matrix, which gives the minimum of a multivariate function that is specified as the summation of squares of nonlinear and real-valued functions, so some error can be tolerated in selection for control points. Final registered image is formed using backward mapping for sampling and distance based image blending. This proposed algorithm is compared with Euclidean warp algorithm and limitation of Euclidean warp is overcome and results are compared.

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Authors and Affiliations

  1. BVM Engineering College, VV Nagar, Anand, India

    Mehfuza Holia

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  1. Mehfuza Holia
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Correspondence to Mehfuza Holia .

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Editors and Affiliations

  1. Anil Neerukonda Ins. of Tech. & Sci., Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Indian Statistical Institute, Jadavpur University, Kolkata, India

    Swagatam Das

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Holia, M. (2016). Multiview Image Registration. In: Satapathy, S., Das, S. (eds) Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 1. Smart Innovation, Systems and Technologies, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-319-30933-0_27

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  • DOI: https://doi.org/10.1007/978-3-319-30933-0_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30932-3

  • Online ISBN: 978-3-319-30933-0

  • eBook Packages: EngineeringEngineering (R0)

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