Data-Driven Neural Network Model for Robust Reconstruction of Automobile Casting

	Data-Driven Neural Network Model for Robust Reconstruction of Automobile Casting
	Lin, J.; Y. Wang; X. Li and L. Wang
	2017
发表期刊	3D Research
卷号	8 期号:3
摘要	In computer vision system, it is a challenging task to robustly reconstruct complex 3D geometries of automobile castings. However, 3D scanning data is usually interfered by noises, the scanning resolution is low, these effects normally lead to incomplete matching and drift phenomenon. In order to solve these problems, a data-driven local geometric learning model is proposed to achieve robust reconstruction of automobile casting. In order to relieve the interference of sensor noise and to be compatible with incomplete scanning data, a 3D convolution neural network is established to match the local geometric features of automobile casting. The proposed neural network combines the geometric feature representation with the correlation metric function to robustly match the local correspondence. We use the truncated distance field(TDF) around the key point to represent the 3D surface of casting geometry, so that the model can be directly embedded into the 3D space to learn the geometric feature representation; Finally, the training labels is automatically generated for depth learning based on the existing RGB-D reconstruction algorithm, which accesses to the same global key matching descriptor. The experimental results show that the matching accuracy of our network is 92.2% for automobile castings, the closed loop rate is about 74.0% when the matching tolerance threshold is 0.2. The matching descriptors performed well and retained 81.6% matching accuracy at 95% closed loop. For the sparse geometric castings with initial matching failure, the 3D matching object can be reconstructed robustly by training the key descriptors. Our method performs 3D reconstruction robustly for complex automobile castings. 2017, 3D Research Center, Kwangwoon University and Springer-Verlag GmbH Germany.
收录类别	sci
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/59052
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Lin, J.,Y. Wang,X. Li and L. Wang. Data-Driven Neural Network Model for Robust Reconstruction of Automobile Casting[J]. 3D Research,2017,8(3).
APA	Lin, J.,Y. Wang,&X. Li and L. Wang.(2017).Data-Driven Neural Network Model for Robust Reconstruction of Automobile Casting.3D Research,8(3).
MLA	Lin, J.,et al."Data-Driven Neural Network Model for Robust Reconstruction of Automobile Casting".3D Research 8.3(2017).

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