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Automatic 3D Character Reconstruction from Frontal and Lateral Monocular 2D RGB Views

Authors: Beacco Porres, Alejandro; Gallego Vila, Jaime; Slater, Mel;

Automatic 3D Character Reconstruction from Frontal and Lateral Monocular 2D RGB Views

Abstract

We present an automatic animatable 3D character reconstruction method from frontal and lateral RGB pictures of the person to reconstruct. We propose a method where, after obtaining a 3D reconstruction from a frontal view, we adapt the template of the Skinned Multi-Person Linear Model (SMPL) to it. This frontal modified SMPL is then used in a second step as an input to reconstruct the character from the lateral view, thus obtaining a correct person reconstruction in all dimensions. Our method enables the recreation of 3D animatable characters focusing on two main aspects: shape and texture. The obtained results show that the proposed method achieves an accurate automatic 3D character reconstruction from only two views that enhances current methods while offering a reproducible work-flow.

Country
Spain
Keywords

3D reconstruction from in the wild pictures,, Computer animation, Image reconstruction, Three-dimensional imaging, 3D character reconstruction, Animatable 3D reconstruction, 3D reconstruction from in the wild pictures, Animació per ordinador, Àrees temàtiques de la UPC::Informàtica::Infografia, Imatgeria tridimensional

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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7
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41
93
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