Abstract
The dynamic panorama keeps the advantage of providing both full view of scene in static panoramas and the dynamics of the scene, which remarkably strengthens the reality of walkthrough. This paper presents a method to create dynamic panoramas. To gain the static panorama, a multi-resolution mosaic algorithm based on Particle Swarm Optimization (PSO) is first applied to a series of photographs at one fixed point. Moving objects in the scene are then captured periodically or stochastically using a video camera, and the resulted video clips are converted into video texture. Video texture is finally registered with static panorama and combined into a compact representation. A panorama browser is also expanded to play video textures in addition to its original functions.
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Zhang, Y., Sun, Z., Li, W. (2006). Creating Dynamic Panorama Using Particle Swarm Optimization. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_70
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DOI: https://doi.org/10.1007/11941354_70
Publisher Name: Springer, Berlin, Heidelberg
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