Card3DFace

This project intends to create a 3D face printing system on cards. As for printing on polymer cards, the 3D effect is created by a lenticular structure made in the production phase of the card. The expected innovation for this project concerns the generation of the three-dimensional model of a person's face, which will be accomplished by manipulating photographs captured using light field cameras, also called plenoptic cameras, and choosing the number of views and their optimization, as well as their viewing angles, in order to create the best three-dimensional effect possible.

Members

Nuno Gonçalves

Position: Researcher Coordinator

Leandro Cruz

Position: Team Manager

Leandro Dihl

Position: Posdoc Researcher

Dirce Celorico

Position: Researcher

Publications

Exemplar Based Filtering of 2.5D Meshes of Faces

Presentation of a content-aware filtering for 2.5D meshes of faces. An exemplar-based filter that corrects each point of a given mesh through local model-exemplar neighborhood comparison taking advantage of prior knowledge of the models (faces) to improve the comparison.

  • Date: 25/03/2018
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  • Featured In: Eurographics 2018 Posters
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  • Publication Type: Poster
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  • Author(s): Leandro Dihl, Leandro Cruz, Nuno Gonçalves
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Use of Epipolar Images Towards Outliers Extraction in Depth Images

Method for filtering the depth model, reconstructed from light field cameras, based on the removal of low confidence reconstructed values and using an inpainting method to replace them. This approach has shown good results for outliers removal.

  • Date: 26/10/2018
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  • Featured In: Recpad 2018-24th Portuguese Conference on Pattern Recognition
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  • Publication Type: Poster
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  • Author(s): Dirce Celorico, Leandro Cruz, Leandro Dihl, Nuno Gonçalves
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A Content-aware Filtering for RGBD Faces

A content-aware filtering for 2.5D meshes of faces that preserves their intrinsic features. We take advantage of prior knowledge of the models (faces) to improve the comparison. The model is invariant to depth translation and scale. The proposed method is evaluated on a public 3D face dataset with different levels of noise. The results show that the method is able to remove noise without smoothing the sharp features of the face.

  • Date: 25/02/2019
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  • Featured In: GRAPP 2019 - International Conference on Computer Graphics Theory and Applications
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  • Publication Type: Conference Papers
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  • Author(s): Leandro Dihl, Leandro Cruz, Nuno Monteiro, Nuno Gonçalves
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Improving Facial Depth Data by Exemplar-based Comparisons

Presented a filtering method for meshes of faces preserving their intrinsic features. It is based in an exemplar-based neighborhood matching where all models are in a frontal position avoiding rotation and perspective drawbacks. Moreover, the model is invariant to depth translation and scale.

  • Date: 26/10/2018
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  • Featured In: Recpad 2018-24th Portuguese Conference on Pattern Recognition
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  • Publication Type: Poster
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  • Author(s): Leandro Dihl, Leandro Cruz, Nuno Gonçalves
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  • Download File