NDLI: Shape-from-shading using sensor and physical object characteristics applied to human teeth surface reconstruction

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

Biosurface and Biotribology

CAAI Transactions on Intelligence Technology

CIRED - Open Access Proceedings Journal

Chinese Journal of Electronics

Cognitive Computation and Systems

Electronics Letters

Energy Conversion and Economics

Engineering & Technology

Engineering Biology

Healthcare Technology Letters

IET Circuits, Devices & Systems

IET Collaborative Intelligent Manufacturing

IET Communications

IET Computer Vision

Volume 15 (2021)

Volume 14 (2020)

Volume 13 (2019)

Volume 12 (2018)

Volume 11 (2017)

Volume 10 (2016)

Volume 9 (2015)

Volume 8 (2014)

Volume 8 (2014) : Issue 6, Dec

Volume 8 (2014) : Issue 5, Oct

Volume 8 (2014) : Issue 4, Aug

Volume 8 (2014) : Issue 3, Jun

Volume 8 (2014) : Issue 2, Apr

Volume 8 (2014) : Issue 1, Feb

Automatic object segmentation of unstructured scenes using colour and depth maps

Contour matching using the affine-invariant support point set

Head pose estimation and face recognition using a non-linear tensor-based model

Multiple subsequence combination in human action recognition

Normal map recovery using bundle adjustment

Shape-from-shading using sensor and physical object characteristics applied to human teeth surface reconstruction

Video object segmentation with shape cue based on spatiotemporal superpixel neighbourhood

Volume 7 (2013)

Volume 5 (2011)

Volume 3 (2009)

Volume 2 (2008)

Volume 1 (2007)

IET Computers & Digital Techniques

IET Control Theory & Applications

IET Cyber-Physical Systems: Theory & Applications

IET Cyber-Systems and Robotics

IET Electric Power Applications

IET Electrical Systems in Transportation

IET Energy Systems Integration

IET Generation, Transmission & Distribution

IET Image Processing

IET Information Security

IET Intelligent Transport Systems

IET Microwaves, Antennas & Propagation

IET Nanobiotechnology

IET Nanodielectrics

IET Optoelectronics

IET Power Electronics

IET Quantum Communication

IET Radar, Sonar & Navigation

IET Renewable Power Generation

IET Science, Measurement & Technology

IET Signal Processing

IET Smart Cities

IET Systems Biology

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Shape-from-shading using sensor and physical object characteristics applied to human teeth surface reconstruction

Content Provider	IET Digital Library
Author	Abdelrahim, Aly S. Farag, Aly A. Elhabian, Shireen Y. Melegy, Moumen T. El
Abstract	Image formation involves understanding the sensors characteristics and object reflectance. In dentistry, for example an accurate three-dimensional (3D) representation of the human jaw may be used for diagnostic and treatment purposes. Photogrammetry can offer a flexible, cost-effective solution in that regard. Nonetheless there are several challenges, such as non-friendly image acquisition environment inside the human mouth, problems with lighting (specularity effects because of saliva, gum discolourisation, and occlusion because of the tongue in the lower jaw), and errors because of the data acquisition sensors (e.g. camera calibration errors, lens distortion and so on). In this study, the authors focus on the 3D surface reconstruction aspect for human jaw modelling based on physical surface characteristics and sensor properties. Owing to apparent lens distortion imposed by near-field imaging, the authors propose a new flexible calibration for lens radial distortion based on a single image of a sphere. The authors propose a non-Lambertian shape-from-shading (SFS) algorithm under perspective projection which benefits from camera calibration parameters. Our experiments provide quantitative metric results for the proposed approach. The reflectance of the tooth surface is modelled by the Oren–Nayar reflectance model for rough surfaces whose roughness parameter is physically computed from an optical surface profiler measurements. As compared to state-of-the-art SFS approaches, our approach is able to recover geometric details of tooth occlusal surface. This work is fundamental for establishing an optical-based approach for reconstructing the human jaw, that is inexpensive and does not use ionising radiation.
Starting Page	1
Ending Page	15
Page Count	15
ISSN	17519632
Volume Number	8
e-ISSN	17519640
Issue Number	Issue 1, Feb (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/8/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2013.0068
Journal	IET Computer Vision
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Representation 3D Surface Reconstruction Biology And Medical Computing Biomedical Measurement And Imaging Camera Calibration Error Computer Vision And Image Processing Technique Data Acquisition Sensor Dentistry Health Physics Human Jaw Modelling Human Teeth Surface Reconstruction Image Acquisition Environment Image Formation Image Recognition Image Reconstruction Image Representation Image Sonsor Lens Distortion Lens Radial Distortion Medical And Biomedical Uses of Field Medical Image Processing Near Field Imaging Object Detection Object Reflectance Optical Surface Profiler Measurement Optical, Image And Video Signal Processing Oren-Nayar Reflectance Model Patient Diagnostic Method And Instrumentation Perspective Projection Physical Object Characteristic Physical Surface Characteristic Radiations Radioactivity Sensor Object Characteristic Sensor Property SFS Algorithm Shape from Shading Shape Recognition Three Dimensional Representation
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

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