Card3DFace

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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.

Research Coordinator: Nuno Gonçalves

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Members

Nuno Gonçalves

Position: Researcher Coordinator

Leandro Cruz

Position: Researcher

Leandro Dihl

Position: 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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Card3DFace—An Application to Enhance 3D Visual Validation in ID Cards and Travel Documents

The identification of a person is a natural way to gain access to information or places. A face image is an essential element of visual validation. In this paper, we present the Card3DFace application, which captures a single-shot image of a person’s face. After reconstructing the 3D model of the head, the application generates several images from different perspectives, which, when printed on a card with a layer of lenticular lenses, produce a 3D visualization effect of the face. The image acquisition is achieved with a regular consumer 3D camera, either using plenoptic, stereo or time-of-flight technologies. This procedure aims to assist and improve the human visual recognition of ID cards and travel documents through an affordable and fast process while simultaneously increasing their security level. The whole system pipeline is analyzed and detailed in this paper. The results of the experiments performed with polycarbonate ID cards show that this end-to-end system is able to produce cards with realistic 3D visualization effects for humans.

  • Date: 23/09/2021
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  • Featured In: Applied Sciences
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  • Publication Type: Journal Articles
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  • Author(s): Dihl, L., Cruz, L., & Gonçalves, N.
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  • DOI: 10.3390/app11198821
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