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Dense 3D reconstruction combining depth and RGB information

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成果类型:
期刊论文
作者:
Pan, Hailong;Guan, Tao;Luo, Yawei;Duan, Liya;Tian, Yuan;...
通讯作者:
Zhao, Yizhu
作者机构:
[Luo, Yawei; Guan, Tao; Zhao, Yizhu; Yu, Junqing; Yi, Liu; Pan, Hailong] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430074, Peoples R China.
[Tian, Yuan] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.
[Duan, Liya] Shandong Acad Sci, Inst Oceanog Instrumentat, Qingdao 266001, Peoples R China.
通讯机构:
[Zhao, Yizhu] H
Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430074, Peoples R China.
语种:
英文
关键词:
3D reconstruction;Depth information;RGB information
期刊:
Neurocomputing
ISSN:
0925-2312
年:
2016
卷:
175
期:
PartA
页码:
644-651
基金类别:
Special Fund for Earthquake Research in the Public Interest [201508025]; National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [61272202]; Science and Technology Support Program of Hubei Province [2014BCH270]
机构署名:
本校为其他机构
院系归属:
教育信息技术学院
摘要:
Dense 3D reconstruction has important applications in many fields. The existing depth information based methods are typically constrained in their effective camera-object distance which should be from 0.4 m to 4 m. We present a novel method that can achieve a more accurate dense 3D reconstruction with an RGB-D camera when the distance between the camera and object is less than 0.4 m, which enlarges the application range. Our approach combines a depth information based 3D model method with a RGB information based method to refine the reconstruction results when the camera fails to acquire the c...

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