Optimized Method for Real-time Texture Reconstruction with RGB-D Camera

被引：0

作者：

Yonghong Hou

Hang Li

Chuankun Liu

Liang Zhang

机构：

[1] School of Electrical and Information Engineering, Tianjin University

[2] Tianjin Lishen Battery Joint-Stock Co., Ltd

[3] Tianjin Key Laboratory of Advanced Electrical Engineering and Energy Technology, School of Electrical Engineering and Automation, Tianjin Polytechnic University

来源：

Transactions of Tianjin University | 2017年 / 05期

关键词：

Real-time 3D reconstruction; RGB-D camera; Texture reconstruction; Blur detection;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

With the appearance of RGB-D camera, the field of three-dimensional(3D) reconstruction receives more and more attention. In this paper, we present an optimization approach to produce high-quality textured 3D models based on the real-time 3D reconstruction system.The resulting models of real-time texture reconstruction often suffer from blurring, ghosting, and other artifacts.Our approach addresses this texture quality problem using blur detection and an optimized weight function. Experimental results demonstrate that our approach can improve the quality of textured 3D models by reducing the blur and ghosts on the model surface.

引用

页码：493 / 500

页数：8

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