NDLI: A SFM-based sparse to dense 3D face reconstruction method robust to feature tracking errors

Content Provider	IEEE Xplore Digital Library
Author	Chang Yang Jiansheng Chen Cong Xia Jing Liu Guangda Su
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing, China (Chang Yang; Jiansheng Chen; Cong Xia; Jing Liu; Guangda Su)
Abstract	In this paper, we present a new sparse to dense 3D face reconstruction method using monocular video sequences. Structure from motion (SFM) is an effective method to reconstruct sparse 3D facial shape; however, its performance degrades drastically when tracking errors caused by self-occlusion or image noise exist. To address the problem, we propose a reliable point selection method to automatically evaluate the reliability of corresponding points obtained by optical flow. The gray level cooccurrence matrix (GLCM) is applied to the texture-based correlation evaluation and those points whose correlation coefficients are lower than a threshold will be removed. Benefiting from the SFM's capacity of dealing with missing data, our method is more robust to tracking point correspondence errors and accordingly achieves a lower 3D reconstruction error compared with traditional SFM methods without correlation checking.
Starting Page	3617
Ending Page	3621
File Size	522404
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738746
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	3D face reconstruction SFM GLCM landmark points selection
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