He finished his BSc Course in Computer Scinece at University Regional Integrada do Alto Uruguai e das Missões in 2004, and the MSc in Computer Science at Universidade do Vale do Rio dos Sinos in 2009. He got his PhD degree at Pontifical Catholic University of Rio Grande do Sul (PUC-RS) in 2013.He was professor at Universidade do Vale do Rio dos Sinos (UNISINOS) and professor at Instituto Federal do Rio Grande do Sul (2017).
He has posdoctorate at PUC-RS and currently he is postdoctoral researcher at Unversity of Coimbra, Portugal.
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
- //
- Featured In: Eurographics 2018 Posters
- //
- Publication Type: Poster
- //
- Author(s): Leandro Dihl, Leandro Cruz, Nuno Gonçalves
- //
- Download File
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
- //
- Featured In: Recpad 2018-24th Portuguese Conference on Pattern Recognition
- //
- Publication Type: Poster
- //
- Author(s): Dirce Celorico, Leandro Cruz, Leandro Dihl, Nuno Gonçalves
- //
- Download File
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
- //
- Featured In: GRAPP 2019 - International Conference on Computer Graphics Theory and Applications
- //
- Publication Type: Conference Papers
- //
- Author(s): Leandro Dihl, Leandro Cruz, Nuno Monteiro, Nuno Gonçalves
- //
- Download File
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
- //
- Featured In: Recpad 2018-24th Portuguese Conference on Pattern Recognition
- //
- Publication Type: Poster
- //
- Author(s): Leandro Dihl, Leandro Cruz, Nuno Gonçalves
- //
- Download File
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
- //
- Featured In: Applied Sciences
- //
- Publication Type: Journal Articles
- //
- Author(s): Dihl, L., Cruz, L., & Gonçalves, N.
- //
- DOI: 10.3390/app11198821
- //
- Download File
- //
- Visit Website