Publications

Publications related to the VIS Team

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.

  • Author(s): Dirce Celorico, Leandro Cruz, Leandro Dihl, Nuno Gonçalves
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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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  • Year: 2018
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Graphic Code: Creation, Detection and Recognition

Graphic Code is a new Machine Readable Coding (MRC) method. It creates coded images by organizing available primitive graphic units arranged according to some predefined patterns. Some of these patterns are previously associated with symbols used to compose the messages and to define a dictionary.

  • Author(s): Leandro Cruz, Bruno Patrão, Nuno Gonçalves
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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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  • Year: 2018
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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.

  • Author(s): Leandro Dihl, Leandro Cruz, Nuno Gonçalves
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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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  • Year: 2018
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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.

  • Author(s): Leandro Dihl, Leandro Cruz, Nuno Gonçalves
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  • Featured In: Eurographics 2018 Posters
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  • Publication Type: Poster
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  • Year: 2018
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