Abstract
An environment model that is constructed using a single image has the problem of a blurring effect caused by the fixed resolution, and the stretching effect of the 3D model caused when information that does not exist on the image occurs due to the occlusion. This paper introduces integration method using multiple images to resolve the above problem. This method can express parallex effect and expand the environment model to represent wide range of environment.
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Ryoo, S., Jho, C. (2005). Integration of Multiple Segmentation Based Environment Models. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J.J. (eds) Computational Science – ICCS 2005. ICCS 2005. Lecture Notes in Computer Science, vol 3515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428848_41
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DOI: https://doi.org/10.1007/11428848_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26043-1
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