Building 3D Object Reconstruction System Based on Color-Depth Image Sequences

被引:0
作者
Ngoc Quoc Ly [1 ]
Tai Cong Tan Vu [1 ]
Thanh Quoc Tac [1 ]
机构
[1] Univ Sci, VNU HCMC, Fac Informat Technol, Ho Chi Minh City, Vietnam
来源
RECENT DEVELOPMENTS IN INTELLIGENT INFORMATION AND DATABASE SYSTEMS | 2016年 / 642卷
关键词
Surface reconstruction; Object detection; Saliency map; Oriented normal; Texture mapping;
D O I
10.1007/978-3-319-31277-4_28
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present a 3D object reconstruction system based on color and depth image sequences. The main intention is to build a sufficient system that can digitize the shape and color texture of real objects. Our contributions are the combination of individual processes into one unified procedure and some improvements on these methods. The system consists of four main phases. First, we improve the separation of object from background by performing a saliency map on depth image. Next, we represent the surface of object by a global point cloud and use Poisson reconstruction method to reconstruct the surface mesh. Finally, we propose neighborhood interpolation mapping technique for assigning color of reconstructed model. The experiments conducted on practical datasets have shown that our system is able to scan, reconstruct and simulate real objects completely.
引用
收藏
页码:323 / 333
页数:11
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