NDLI: A novel post-nonlinear ICA-based reflectance model for 3D surface reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Wen-Chang Cheng Chin-Teng Lin
Copyright Year	2005
Description	Author affiliation: Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan (Wen-Chang Cheng)
Abstract	We propose a novel reflectance model for photometric stereo. It consists of diffuse components and specular components. Unlike past methods, ours does not need to separate the two components from the nonlinear reflection model. We use an unsupervised learning adaptation algorithm to estimate the reflectance model based on image intensities. First, the technique of the post-nonlinear independent components analysis (ICA) model is used to obtain the surface normal on each point of an image. Then, the 3D surface model can be reconstructed based on the estimated surface normal on each point of the image by using the method of enforcing integrability. We test our algorithm on synthetically generated images for the reconstruction of the surface of objects and on a number of real images from the Vale Face Database B. The results clearly indicate the superiority of the proposed nonlinear reflectance model over the Georghiades approach and the Hayakawa approach.
Starting Page	3023
Ending Page	3026
File Size	261850
Page Count	4
File Format	PDF
ISBN	0780388348
DOI	10.1109/ISCAS.2005.1465264
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-23
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reflectivity Surface reconstruction Photometry Light sources Independent component analysis Image reconstruction Optical reflection Rough surfaces Surface roughness Unsupervised learning
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

Determining shape and reflectance of Lambertian, specular, and hybrid surfaces using extended sources

A study of shape from photometry for diffuse and specular reflection models

Temporal-color space analysis of reflection

Model-Based Segmentation of Surfaces Using Illumination Series

Determining reflectance parameters using range and brightness images

3D object shape and reflectance property reconstruction using image scanner

Lambertian reflectance correction for rough and shiny surfaces

Mesostructure from Specularity

Recovery of 3-D shape using hybrid reflectance model

A novel post-nonlinear ICA-based reflectance model for 3D surface reconstruction

Similar Documents

Determining shape and reflectance of Lambertian, specular, and hybrid surfaces using extended sources

A study of shape from photometry for diffuse and specular reflection models

Temporal-color space analysis of reflection

Model-Based Segmentation of Surfaces Using Illumination Series

Determining reflectance parameters using range and brightness images

3D object shape and reflectance property reconstruction using image scanner

Lambertian reflectance correction for rough and shiny surfaces

Mesostructure from Specularity

Recovery of 3-D shape using hybrid reflectance model

A novel post-nonlinear ICA-based reflectance model for 3D surface reconstruction