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Image-based modeling and rendering with geometric proxy

Authors: Angus M.K. Siu; Rynson W.H. Lau;

Image-based modeling and rendering with geometric proxy

Abstract

In this paper, we present an image-based method to recover a geometric proxy and generate novel views. We use an integrated modeling and rendering approach to deal with the difficulty of modeling, and reduce the sampling rate. Our system is based on two novel techniques. First, we propose the Adaptive Mesh Segmentation (AMS) technique for recovering geometric proxy of a scene environment. Second, we propose the Trifocal Morphing technique for efficient rendering with the geometric proxy, which can handle non-matched regions of the scene. Our method allows images to be sparsely captured and thus highly reduces the manual image acquisition effort as well as the data size.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average