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

Please wait, while we are loading the content...

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

Content Provider	Springer Nature Link
Author	Lin, Jinhua Wang, Yanjie Li, Xin Wang, Lu
Copyright Year	2017
Abstract	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 τ 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.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
Journal	3D Research
Volume Number	8
Issue Number	3
e-ISSN	20926731
Language	English
Publisher	3D Display Research Center
Publisher Date	2017-06-23
Publisher Place	Seoul
Access Restriction	Subscribed
Subject Keyword	3D reconstruction 3D scanning Data-driven Learning model Neural network RGB-D Signal,Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Optics, Lasers, Photonics, Optical Devices
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A New RBF Reflection Model for Shape from Shading

Robust Reconstruction and Generalized Dual Hahn Moments Invariants Extraction for 3D Images

Non-rigid Reconstruction of Casting Process with Temperature Feature

Referenceless Phase Holography for 3D Imaging

3D High Resolution Mesh Deformation Based on Multi Library Wavelet Neural Network Architecture

A Hierarchical Optimization Algorithm Based on GPU for Real-Time 3D Reconstruction

An Automatic Registration Algorithm for 3D Maxillofacial Model

DCT and DST Based Image Compression for 3D Reconstruction

Application of 3D Laser Scanning Technology in Complex Rock Foundation Design

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

Similar Documents

A New RBF Reflection Model for Shape from Shading

Robust Reconstruction and Generalized Dual Hahn Moments Invariants Extraction for 3D Images

Non-rigid Reconstruction of Casting Process with Temperature Feature

Referenceless Phase Holography for 3D Imaging

3D High Resolution Mesh Deformation Based on Multi Library Wavelet Neural Network Architecture

A Hierarchical Optimization Algorithm Based on GPU for Real-Time 3D Reconstruction

An Automatic Registration Algorithm for 3D Maxillofacial Model

DCT and DST Based Image Compression for 3D Reconstruction

Application of 3D Laser Scanning Technology in Complex Rock Foundation Design

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