Non-rigid registration of 3D facial surfaces with robust outlier detection

Kaiser, M. Shamim; Stormer, A; Arsic, D.; Rigoll, Gerhard

doi:10.1109/wacv.2009.5403053

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…In the original 3DMM paper, Blanz and Vetter applied a modified Lucas-Kanade optical flow to determine correspondences. Similar approaches have been presented in [6,7,8]. Amberg et al [9] proposed a nonrigid Iterative Closest Point Algorithm where dense correspondences are computed based on only depth information.…”

Section: Introductionmentioning

confidence: 96%

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Dense point-to-point correspondences between 3D faces with large variations for constructing 3D Morphable Models

Kaiser

Lehment

Rigoll

2011

2011 18th IEEE International Conference on Image Processing

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In this contribution a novel method to compute dense point-topoint correspondences between 3D faces is presented. The faces are aligned in 3D space with a Generalized Procrustes Analysis and subsequently mapped into 2D space. To compute a correspondence flow between two faces an energy function is minimized which is based on the following assumptions: smoothness of the flow, mapping of landmarks on their counterparts, and texture and depth consistency. Based on these correspondences, the 3D faces are resampled, so that each face is represented by the same amount of 3D points and for any point there is a corresponding point in all other faces. The accuracy of the point-to-point correspondences is demonstrated on the basis of two applications, namely facial texture mapping and the construction of 3D Morphable Models.

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Section: Introductionmentioning

confidence: 96%

“…The correspondences for all other points are subsequently interpolated by, for example, thin-plate spline functions, as proposed in [5], radial basis functions, as in [12], or triangle quadrisection, as in [13]. However, the landmarks are a quite sparse set of points compared to the overall number of points of a 3D scan.…”

Section: Introductionmentioning

confidence: 99%

Dense point-to-point correspondences between 3D faces with large variations for constructing 3D Morphable Models

Kaiser

Lehment

Rigoll

2011

2011 18th IEEE International Conference on Image Processing

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“…In the original 3DMM paper [4], the 3D facial surfaces are mapped into the 2D plane and subsequently an optical flow method is employed. Similar procedures are applied in [9,10,17,21]. Amberg et al [2] proposed a nonrigid Iterative Closest Point algorithm for correspondence estimation.…”

Section: Introductionmentioning

confidence: 99%

Dense point-to-point correspondences between 3D faces using parametric remeshing for constructing 3D Morphable Models

Kaiser

Heym

Lehment

et al. 2011

2011 IEEE Workshop on Applications of Computer Vision (WACV)

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In this contribution a novel method to compute dense point-to-point correspondences between 3D faces is presented. The correspondences can be employed for various face processing applications, for example for building up a 3D Morphable Model (3DMM). Paths connecting landmarks are traced on the 3D facial surface and the resulting patches are mapped into a uv-space. Triangle quadrisection is used to build up remeshes with high point density for each 3D facial surface. Each vertex of a remesh has one corresponding vertex in another remesh and all remeshes have the same connectivity. The quality of the point-to-point correspondences is demonstrated on the bases of two applications, namely morphing and constructing a 3DMM.

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Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces

Grewe

Zachow

2016

Lecture Notes in Computer Science

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Non-rigid registration of 3D facial surfaces with robust outlier detection

Cited by 4 publications

References 23 publications

Dense point-to-point correspondences between 3D faces with large variations for constructing 3D Morphable Models

Dense point-to-point correspondences between 3D faces with large variations for constructing 3D Morphable Models

Dense point-to-point correspondences between 3D faces using parametric remeshing for constructing 3D Morphable Models

Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces

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