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2016, Volume 17, Issue 5

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Frontiers of Information Technology & Electronic Engineering >> 2016, Volume 17, Issue 5 doi: 10.1631/FITEE.1500316

A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud sequence

. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China.. College of Computer Science and Technology, Guizhou University, Guiyang 550025, China.. Academy of Cultural Heritage, Zhejiang University, Hangzhou 310058, China

Available online: 2016-05-24
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Abstract

To speed up the reconstruction of 3D dynamic scenes in an ordinary hardware platform, we propose an efficient framework to reconstruct 3D dynamic objects using a multiscale-contour-based interpolation from multi-view videos. Our framework takes full advantage of spatio-temporal-contour consistency. It exploits the property to interpolate single contours, two neighboring contours which belong to the same model, and two contours which belong to the same view at different times, corresponding to point-, contour-, and model-level interpolations, respectively. The framework formulates the interpolation of two models as point cloud transport rather than non-rigid surface deformation. Our framework speeds up the reconstruction of a dynamic scene while improving the accuracy of point-pairing which is used to perform the interpolation. We obtain a higher frame rate, spatio-temporal-coherence, and a quasi-dense point cloud sequence with color information. Experiments with real data were conducted to test the efficiency of the framework.

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