Luiz Maurílio Maciel

dblp:126/0672 · also Luiz Maurílio da Silva Maciel · DBLP profile ↗
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8ranked-venue papers
1as first author
6since 2021 · last 2026
0000-0001-9193-2302ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 5 · 5 since 2021Artificial intelligence and machine learning · 3 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1
YearPublicationVenuePosition
2026 Detection of Cow Face and Subregions Using a New Annotated Dataset
Mathews Edwirds Gomes Almeida, Pedro de Araújo Bhering Bittencourt, Brian Luís Coimbra Maia, Lucas Silva Santana, João Vítor de Castro Martins Ferreira Nogueira, Daniel Muller Rezende, Gabriel Rezende da Silva, Thais de Souza Marins, Luiz Maurílio Maciel, Marcelo Bernardes Vieira, Saulo Moraes Villela, Bruno Campos de Carvalho
ICCSA (1)9
2026 Classification of Dynamic Libras Signs Related to the Hospital Context Using Recurrent Neural Networks
Pedro de Araújo Bhering Bittencourt, Luiz Maurílio Maciel, Marcelo Bernardes Vieira, Saulo Moraes Villela
ICCSA (1)2
2026 Enhanced Architecture for Non-destructive Leaf Area Estimation Based on a Semantic Segmentation Network
Caio Seixas Duarte, Luiz Maurílio Maciel, Saulo Moraes Villela, Marcelo Bernardes Vieira
ICCSA (1)2
2026 Soft Routing-Inspired Specialization for Efficient Satellite Image Time Series Segmentation
Paulo Victor de Magalhães Rozatto, Saulo Moraes Villela, Luiz Maurílio Maciel, Marcelo Bernardes Vieira
ICCSA (2)3
2026 Metaheuristic-Optimized Ensemble Learning for Glioma Grading
Lucas Silva Santana, Saulo Moraes Villela, Luiz Maurílio Maciel, Raul Fonseca Neto, Marcelo Bernardes Vieira
ICCSA (3)3
2021 Monocular 3D reconstruction of sail flying shape using passive markers
abstract
Abstract We present a method to recover the 3D flying shape of a sail using passive markers. In the navigation and naval architecture domain, retrieving the sail shape may be of immense value to confirm or contest simulation results, and to aid the design of new optimal sails. Our acquisition setup is very simple and low-cost, as it is only necessary to fix a series of printable markers on the sail and register the flying shape in real sailing conditions from a side vessel with a single camera. We reconstruct the average sail shape during an interval where the sailor maintains the sail as stable as possible. The average is further improved by a Bundle Adjustment algorithm. We tested our method in a real sailing scenario and present promising results. Quantitatively, we show the precision in regards to the reconstructed markers area and the reprojected points. Qualitatively, we present feedback from domain experts who evaluated our results and confirmed the usefulness and quality of the reconstructed shape.
Luiz Maurílio Maciel, Ricardo Marroquim, Marcelo Bernardes Vieira, Kevyn Swhants Ribeiro, Alexandre Alho
Mach. Vis. Appl.1
2014 A tensor motion descriptor based on histograms of gradients and optical flow
Virgínia Fernandes Mota, Eder de Almeida Perez, Luiz Maurílio Maciel, Marcelo Bernardes Vieira, Philippe Henri Gosselin
Pattern Recognit. Lett.3
2012 Combining gradient histograms using orientation tensors for human action recognition
Eder de Almeida Perez, Virgínia Fernandes Mota, Luiz Maurílio Maciel, Dhiego Oliveira Sad, Marcelo Bernardes Vieira
ICPR3