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Image-based 3D models reconstruction

Authors: null Ke Lu; null Xiangyang Wang; null Zhi Wang; null Xiang Li;

Image-based 3D models reconstruction

Abstract

Image-based 3D models reconstruction is an important branch of the research area in computer vision, artificial intelligence and virtual reality. An integrated 3D model reconstruction system usually consists of image capture, camera calibration, stereo rectify, feature extraction, stereo matching, depth information computation, mesh reconstruction and texture mapping [1,2]. In our paper, we propose a complete system that covers the steps from image capture to final visual surface reconstruction for objects.

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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!
0
Average
Average
Average
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