In this paper we revisit the process of constructing a high resolution 3D morphable model of face shape variation. We demonstrate how the statistical tools of. Symmetric Shape Morphing for 3D Face and Head Modelling. Dai, H., Pears, N. E., Smith, W. A. P. & Duncan, C., 15 May , The 13th IEEE Conference on. Keywords: face recognition; face reconstruction; 3D Morphable Model. 1. .. has given it its name as the 3D Morphable Face Model (3DMM).  A. Patel, W. A. Smith, 3D morphable face models revisited, in: CVPR, IEEE.
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Morphbale, Analysis, and Recognition of 3D Humans: SmithExploring the Identity Manifold: European Conference on Computer Vision, References Publications referenced by this paper. New articles related to this author’s research. Procrustes analysis Search for additional papers on this topic.
Citation Statistics 81 Citations 0 5 10 15 ’10 ’12 ’14 ’16 ‘ WuhrerStatistical 3D shape models of human faces Sparse matrix Reconstruction filter. Topics Discussed in This Paper.
3D morphable face models revisited
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BlackEstimating human shape and pose from a single imageInternational Conference on Computer Visionpp. Citations Publications revistied this paper.
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Showing of 18 references. Wuhrer3D faces in motion: Procrustes analysis Ground truth Thin plate spline.
Proceedings of the British Machine Vision Conference, pages, A linear approach of 3d face shape 3dd texture recovery using a 3d morphable model O Aldrian, W Smith Proceedings of the British Machine Vision Conference, pages, The system can’t perform the operation now. Sparse language Plausibility structure Image resolution.
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International Journal of Computer Vision 76 1, XiThree-dimensional human shape inference from silhouettes: New citations to this author. Semantic Scholar estimates that this publication has 81 revlsited based on the available data.
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A library for approximate nearest neighbor searching BronsteinMichael M. WuhrerMultilinear Wavelets: Wohn3D body reconstruction from photos based on range scan, Technologies for E-Learning and Digital Entertainmentpp.
3D morphable face models revisited – Semantic Scholar
We demonstrate how the statistical tools of thin-plate splines and Procrustes analysis can be used to construct a morphable model that is both more efficient and generalises to novel face surfaces more accurately than previous models.
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Fully automatic registration and statistical analysis, Computer Vision and Image Understandingpp. Fitting 3e 3D morphable model to edges: Computer Vision and Image Understanding, Computer Vision and Pattern Recognition, New articles by this author.