Abstract
This paper presents a method that generates a mosaic image from multiple images or a sequence of images without any assumptions on camera intrinsic parameters or camera motion. The most appropriate transform model is automatically selected according to the global alignment error. Given a set of images, the optimal parameters for a 2D projective transform model are computed using a linear least squares estimation method and then iterative nonlinear optimization method. When the error exceeds a predefined limit, a more simple transform model is applied to the alignment. Our experiments showed that false alignments are reduced even in the case of 360° panoramic images.
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© 2000 Springer-Verlag Berlin Heidelberg
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Park, JS., Chang, DH., Park, SG. (2000). Automatic Generation of Photo-Realistic Mosaic Image. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_34
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DOI: https://doi.org/10.1007/3-540-45482-9_34
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