A region-based expression tracking algorithm for spacetime faces. (October 2015)
- Record Type:
- Journal Article
- Title:
- A region-based expression tracking algorithm for spacetime faces. (October 2015)
- Main Title:
- A region-based expression tracking algorithm for spacetime faces
- Authors:
- Chi, Jing
Gao, Shanshan
Zhang, Yunfeng
Zhang, Caiming - Abstract:
- Abstract: We propose a novel region-based algorithm to quickly track time-varying facial expressions. Our algorithm takes a sequence of spacetime face meshes captured at video rate as input, and uses a template mesh to register each input face mesh to track facial dynamic expressions. In each mesh registration, we first automatically segment the template mesh into three initial regions with a metric, then for each initial region, segment it into different subregions and optimize a non-rigid affine transformation for each subregion with a variation of non-rigid ICP framework so as to approximate closely the input mesh. Region-wise non-rigid transformation decreases the unknowns in optimization significantly, and initial region segmentation decreases unnecessary optimizations and the template vertices involved in optimization greatly, so our algorithm has high speed. In addition, we introduce a new normal constraint in the non-rigid ICP framework to estimate more reasonable region-wise non-rigid transformation. The normal constraint makes our algorithm not only maintain good tracking accuracy while improving tracking speed, but also achieve automatic tracking without manual intervention. Experimental results show the efficiency of our algorithm. Abstract : Graphical abstract: Abstract : Highlights: We propose a new fast algorithm for tracking time-varying face meshes. It introduces region-wise deformations to greatly improve the tracking speed. It uses normal constraint toAbstract: We propose a novel region-based algorithm to quickly track time-varying facial expressions. Our algorithm takes a sequence of spacetime face meshes captured at video rate as input, and uses a template mesh to register each input face mesh to track facial dynamic expressions. In each mesh registration, we first automatically segment the template mesh into three initial regions with a metric, then for each initial region, segment it into different subregions and optimize a non-rigid affine transformation for each subregion with a variation of non-rigid ICP framework so as to approximate closely the input mesh. Region-wise non-rigid transformation decreases the unknowns in optimization significantly, and initial region segmentation decreases unnecessary optimizations and the template vertices involved in optimization greatly, so our algorithm has high speed. In addition, we introduce a new normal constraint in the non-rigid ICP framework to estimate more reasonable region-wise non-rigid transformation. The normal constraint makes our algorithm not only maintain good tracking accuracy while improving tracking speed, but also achieve automatic tracking without manual intervention. Experimental results show the efficiency of our algorithm. Abstract : Graphical abstract: Abstract : Highlights: We propose a new fast algorithm for tracking time-varying face meshes. It introduces region-wise deformations to greatly improve the tracking speed. It uses normal constraint to improve the tracking accuracy. It can adjust region segmentation flexibly to match arbitrary deformations. … (more)
- Is Part Of:
- Computers & graphics. Volume 51(2015)
- Journal:
- Computers & graphics
- Issue:
- Volume 51(2015)
- Issue Display:
- Volume 51, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 51
- Issue:
- 2015
- Issue Sort Value:
- 2015-0051-2015-0000
- Page Start:
- 98
- Page End:
- 105
- Publication Date:
- 2015-10
- Subjects:
- Expression tracking -- Spacetime meshes -- Region-wise transformation -- Normal constraint
Computer graphics -- Periodicals
006.6 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.cag.2015.05.019 ↗
- Languages:
- English
- ISSNs:
- 0097-8493
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.700000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8191.xml