Abstract
This paper presents a system for generating multi-perspective panoramas for long scenes from dense image sequences. Panoramas are created by combining different perspectives, including both original and novel perspectives. The latter are rendered using our perspective synthesis algorithm, which employs geometrical information to eliminate the sampling error distortion caused by depth parallax of non-planar scenes. Our approach for creating multi-perspective panoramas is different from existing methods in that a perspective composition framework is presented to combine various perspectives to form a panorama without undesired visual artifacts, through suppressing both colour inconsistencies and structural misalignments among input perspectives. We show that this perspective composition can facilitate the generation of panoramas from user specified multi-perspective configurations.
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Fang, S., Campbell, N. (2013). Visualization of Long Scenes from Dense Image Sequences Using Perspective Composition. In: Csurka, G., Kraus, M., Laramee, R.S., Richard, P., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics. Theory and Application. Communications in Computer and Information Science, vol 359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38241-3_5
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DOI: https://doi.org/10.1007/978-3-642-38241-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38240-6
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