In digital world reconstruction, 2-dimensional surface of real objects are often obtained as polygonal meshes after an acquisition procedure using 3D sensors. However, such representation requires several manual efforts from highly experts to correct the irregularity of tessellation and make it suitable for professional applications, such as those in the gaming or movie industry. Moreover, for modelling and animation purposes it is often required that the same connectivity is shared among two or more different shapes. In this paper we propose a new method that exploits a remeshing-by-matching approach where the observed noisy shape inherits a regular tessellation from a target shape which already satisfies the professional constraints. A fully automatic pipeline is introduced based on a variation of the functional mapping framework. In particular, a new set of basis functions, namely the Coordinates Manifold Harmonics (CMH), is properly designed for this tessellation transfer task. In our experiments an exhaustive quantitative and quality evaluation is reported for human body shapes in T-pose where the effectiveness of the proposed functional remeshing is clearly shown in comparison with other methods.

Marin, R., Melzi, S., Musoni, P., Bardon, F., Tarini, M., Castellani, U. (2019). CMH: Coordinates manifold harmonics for functional remeshing. In EG 3DOR 2019. Eurographics Workshop on 3D Object Retrieval (pp.63-70). The Eurographics Association [10.2312/3dor.20191063].

CMH: Coordinates manifold harmonics for functional remeshing

Melzi, S;
2019

Abstract

In digital world reconstruction, 2-dimensional surface of real objects are often obtained as polygonal meshes after an acquisition procedure using 3D sensors. However, such representation requires several manual efforts from highly experts to correct the irregularity of tessellation and make it suitable for professional applications, such as those in the gaming or movie industry. Moreover, for modelling and animation purposes it is often required that the same connectivity is shared among two or more different shapes. In this paper we propose a new method that exploits a remeshing-by-matching approach where the observed noisy shape inherits a regular tessellation from a target shape which already satisfies the professional constraints. A fully automatic pipeline is introduced based on a variation of the functional mapping framework. In particular, a new set of basis functions, namely the Coordinates Manifold Harmonics (CMH), is properly designed for this tessellation transfer task. In our experiments an exhaustive quantitative and quality evaluation is reported for human body shapes in T-pose where the effectiveness of the proposed functional remeshing is clearly shown in comparison with other methods.
No
paper
Shape matching; Human modelling; Functional map; Remeshing
English
12th Eurographics Workshop on 3D Object Retrieval, 3DOR 2019, in conjunction with the 40th Annual Conference of the European Association for Computer Graphics, EG 2019
978-3-03868-077-2
Marin, R., Melzi, S., Musoni, P., Bardon, F., Tarini, M., Castellani, U. (2019). CMH: Coordinates manifold harmonics for functional remeshing. In EG 3DOR 2019. Eurographics Workshop on 3D Object Retrieval (pp.63-70). The Eurographics Association [10.2312/3dor.20191063].
Marin, R; Melzi, S; Musoni, P; Bardon, F; Tarini, M; Castellani, U
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/350426
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