Texture map generation for 3D reconstructed scenes

被引:25
作者
Jeon, Junho [1 ]
Jung, Yeongyu [1 ]
Kim, Haejoon [1 ]
Lee, Seungyong [1 ]
机构
[1] POSTECH, Dept Comp Sci & Engn, Pohang, South Korea
基金
新加坡国家研究基金会;
关键词
3D reconstruction; Texture mapping; RGB-D images; Photometric consistency optimization;
D O I
10.1007/s00371-016-1249-5
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present a novel method for generating texture maps for 3D geometric models reconstructed using consumer RGB-D sensors. Our method generates a texture map for a simplified 3D mesh of the reconstructed scene using spatially and temporally sub-sampled key frames of the input RGB stream. We acquire an accurate texture map by optimizing the texture coordinates of the 3D model to maximize the photometric consistency among multiple key frames. We show that the optimization can be performed efficiently using GPU by exploiting the locality of texture coordinate manipulation. Experimental results demonstrate that our method can generate a texture map in a few tens of seconds for a large 3D model, such as a whole room.
引用
收藏
页码:955 / 965
页数:11
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