Laurindo de Sousa Britto Neto

@ufpi.br

Federal University of Piauí

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Vision and Pattern Recognition, Signal Processing, Computer Graphics and Computer-Aided Design, Human-Computer Interaction

Scopus Publications

384

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

Identification of Parkinson's Disease Through Facial Image Classification: A Systematic Review
José Nazareno Alves Rodrigues, Rodrigo De Melo Souza Veras, Laurindo De Sousa Britto Neto, Pedro Henrique Ximenes Ramalho Barros, Wilana Da Silva Moura, Kelson James Silva De Almeida, and Kelson Romulo Teixeira Aires
Institute of Electrical and Electronics Engineers (IEEE)
Parkinson’s Disease (PD) is one of the most prevalent neurological conditions, affecting a significant portion of the elderly population worldwide. Characterized by motor symptoms such as tremors, rigidity, and bradykinesia, as well as non-motor symptoms like hypomimia (reduced facial expressiveness), PD presents significant diagnostic challenges, especially in its early stages. In this context, this systematic review (SR) aims to explore machine learning and deep learning techniques in detecting PD through facial image analysis. The study identifies the key works in the field, the computational techniques employed, and the datasets used. The main findings suggest that facial phenotyping can be a strong indicator for the early diagnosis of PD. Various approaches, including Convolutional Neural Networks (CNNs) and other deep learning models, have shown promise in detecting subtle changes in facial expressions associated with hypomimia. Integrating multimodal data sources, such as voice recordings, hand-drawn sketches, movement analysis, and facial images, has also demonstrated the potential to enhance diagnostic accuracy. This review highlights the potential of facial image analysis as an innovative approach for the early detection of PD, which could lead to more timely and effective interventions.

A Systematic Review on Product Recognition for Aiding Visually Impaired People
André Machado, Rodrigo Veras, Kelson Aires, and Laurindo de Sousa Britto Neto
Institute of Electrical and Electronics Engineers (IEEE)
In recent years, Computer Vision and Machine Learning techniques have been extensively explored in the creation of assistive systems for the visually impaired.One of the most challenging tasks for visually impaired people is object recognition.In this paper, we conducted a systematic review to identify the current state of the art in designing these assistive systems.Due to the huge amount of object categories, we focused on recognizing products, such as those found in grocery stores, pantries and refrigerators.We analyze the techniques used, noting the efficiency and economy of hardware resources such as processing, memory and battery. Thus we verify if they can be used in wearable systems and adapted to existing devices of the Internet of Things (IoT), enabling the proposition of efficient and accessible assistive product recognition systems.

Data Augmentation for Face Recognition with CNN Transfer Learning
Valeska Uchoa, Kelson Aires, Rodrigo Veras, Anselmo Paiva, and Laurindo Britto
IEEE
Face recognition is a challenging Computer Vision task. In this paper, we propose a method for face recognition by applying data augmentation and transfer learning in pre-trained Convolutional Neural Networks (CNNs). Our main focus is to analyze the power of data augmentation for face recognition systems with CNN transfer learning. We extracted features from the images and trained a KNN classifier using the VGG-Face CNN. For the input dataset, we applied several transformations to generate 12 different versions of datasets used to evaluate which combination produces better results. We ran experiments using data augmentation on the LFW dataset. We also created a proprietary dataset composed of 12 subjects. The tests have shown that the classifier trained with the dataset Saturation presented the best results with an accuracy of 98.43%. For the proprietary dataset, the best accuracy was 95.41% obtained with the Brightness, Contrast, and Saturation Combined version. In this way, we conclude that the data augmentation is essential for the face recognition task. However, a study needs to be performed for each application, since the augmentation operations that improve the classification results are dependent on the input set. Furthermore, we show that with a few samples available, it is possible to have a face recognition system with high accuracy.

Banknote Identification Methodology for Visually Impaired People
Leonardo P. Sousa, Rodrigo M. S. Veras, Luis H. S. Vogado, Laurindo S. Britto Neto, Romuere R. V. Silva, Flavio. H. D. Araujo, and Fatima N. S. Medeiros
IEEE
Around the world, there are many people with disabilities; it is estimated that 39 million people are blind and 246 million have limited vision, giving a total of 285 million visually impaired people. The use of information and communication technologies can help disabled people to achieve greater independence, quality of life and inclusion in social activities by increasing, maintaining or improving their functional capacities. In this context, this paper presents an automatic methodology for identifying banknotes that can be widely used by people with visual impairment. For this, we evaluated a set of four point-of-interest detectors, two descriptors, seven ways of generating the image signature, and six classification methodologies, which can be used as a basis for the development of applications for the identification of banknotes. Experiments performed on US Dollar (USD), Euro (EUR) and Brazilian Real Banknotes (BRL) obtained rates of accuracy of 99.78%, 99.12%, and 96.92%, respectively.

Medical Image Segmentation Using Seeded Fuzzy C-means: A Semi-supervised Clustering Algorithm
Luais Santos, Rodrigo Veras, Kelson Aires, Laurindo Britto, and Vinaicius Machado
IEEE
One of the least invasive means of diagnosing certain diseases is through the use of imaging tests. Automated analysis usually begins by detecting the regions to be investigated and extracting relevant information such as shape and texture. In this paper, we propose a semi-supervised clustering algorithm called Seeded Fuzzy C-means to segment regions of interest in medical images. Seeded Fuzzy C-means is based on the well-known Fuzzy C-means; however, it also uses information provided by the physician to insert constraints during group choices. In this way, the element is placed in a group with a higher degree of certainty. We evaluated the proposed algorithm on a total of 2,200 images in leukemia, skin cancer, cervical cancer, and glaucoma image databases. Two semi-supervised clustering algorithms were implemented from literature to perform this analysis. The results illustrate the ability of the algorithm to efficiently assist physicians in detecting regions of interest, as it achieved an “Excellent” Kappa index in most of the tests.

A wearable face recognition system built into a smartwatch and the blind and low vision users
Laurindo de Sousa Britto Neto, Vanessa Regina Margareth Lima Maike, Fernando Luiz Koch, Maria Cecília Calani Baranauskas, Anderson de Rezende Rocha, and Siome Klein Goldenstein
Springer International Publishing

Heuristics for NUI revisited and put into practice
Vanessa Regina Margareth Lima Maike, Laurindo de Sousa Britto Neto, Siome Klein Goldenstein, and Maria Cecília Calani Baranauskas
Springer International Publishing

A wearable face recognition system built into a smartwatch and the visually impaired user

Seeing through the kinect: A survey on heuristics for building natural user interfaces environments
Vanessa Regina Margareth Lima Maike, Laurindo de Sousa Britto Neto, Maria Cecília Calani Baranauskas, and Siome Klein Goldenstein
Springer International Publishing

Producing stylized videos using the animvideo rendering tool
Rafael B. Gomes, Lucas M. Oliveira, Laurindo S. Britto‐Neto, Tiago S. Santos, Gilbran S. Andrade, Bruno M. Carvalho, and Luiz M. G. Gonçalves
Wiley
AbstractStylized rendering is the process of generating images or videos that can have the visual appeal of pieces of art, expressing the visual and emotional characteristics of artistic styles. A major problem in stylizing videos is the absence of temporal coherence, something that results in flickering of the structural drawing elements (such as brush strokes or curves), also known as swimming. This article describes the AnimVideo rendering tool that was developed for stylizing videos with temporal coherence. The temporal coherence is achieved by first fully segmenting the input video with a fast fuzzy segmentation algorithm that uses hybrid color spaces and motion information. The result of the segmentation algorithm is used to constrain the result of an optical flow algorithm, given as dense optical flow maps that are then used to correctly move, remove, or add structural drawing elements. The combination of these two methods is referred to as constrained optical flow, and we also provide the option of initializing the optical flow computation with displacement maps computed by homographies that map objects in adjacent frames. Also, we briefly describe some stylized rendering methods that were implemented in the tool. Finally, experimental results are shown, including snapshots of the tool's interface and illustrative examples of the produced renderings that validates the proposed techniques. © 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 100–110, 2009.

Message in a bottle: Stylized rendering of sand movies
Laurindo S. Britto Neto and Bruno M. Carvalho
IEEE

Bottled sand movies
Laurindo S. Britto Neto Bruno M. Carvalho
IEEE
Non-photorealistic rendering (NPR) is a class of techniques defined by what they do not aim, the realistic rendering of artificial scenes. NPR techniques, on the other hand, aim to reproduce artistic techniques renderings, trying to express feelings and moods on the rendered scenes. This paper introduces a new style of NPR based on a typical art craft from the northeastern region of Brazil, that uses colored sand to compose landscapes inside glass bottles. A method for generating two-dimensional (2D) virtual sand textures is introduced, as well as techniques for combining them in a point-by-point or in an area basis

RECENT SCHOLAR PUBLICATIONS

Identification of Parkinson’s Disease Through Facial Image Classification: A Systematic Review
JNA Rodrigues, RMS Veras, LSB Neto, PHXR Barros, W da Silva Moura, ...
IEEE Access 2025

Reviso sistemtica da literatura sobre softwares de anotaes digitais para aprendizado
D de Alencar Carvalho, LSB Neto
Revista Brasileira de Computao Aplicada 16 (2), 1-15 2024

Evaluation of banknote identification methodologies based on local and deep features
LP Sousa, RMS Veras, LHS Vogado, LSB Neto, RRV Silva, FHD Araujo, ...
International Journal of Innovative Computing and Applications 14 (1-2), 34-45 2023

Anlise Comparativa de Verses YOLO na Deteco e Identificao de Parasitas da Malria
MGR Rocha, RMS Veras, ML Claro, LSB Neto, KRT Aires
Simpsio Brasileiro de Computao Aplicada Sade (SBCAS), 212-223 2021

A systematic review on product recognition for aiding visually impaired people
A Machado, R Veras, K Aires, LSB Neto
IEEE Latin America Transactions 19 (4), 592-603 2021

Banknote identification methodology for visually impaired people
LP Sousa, RMS Veras, LHS Vogado, LSB Neto, RRV Silva, FHD Araujo, ...
2020 International conference on systems, signals and image processing 2020

Metodologia de identificao de cdulas monetrias para deficientes visuais
LP Sousa, RMS Veras, LHS Vogado, LSB Neto
Revista de Sistemas e Computao-RSC 8 (1) 2018

Sistemas wearable baseados em mtodos de viso computacional para auxiliar pessoas com deficincia visual
LSB Neto
[sn] 2016

A wearable face recognition system built into a smartwatch and the visually impaired user
LSB Neto, VRML Maike, FL Koch, MCC Baranauskas, ...
International Conference on Enterprise Information Systems 2, 5-12 2015

Maternal-fetal effects of Hancornia speciosa aqueous extract administration on pregnancy of diabetic rats
GT Volpato, LS Neto, DG Alves, MS Pinheiro, KE Campos, ...
WB Saunders Co Ltd 2015

Protocol to treat people with wounds contaminated with radioactive material standpoint of radiological protection
L Tauhata, AA Reis, PAL Cruz, AG Lopes, LB Neto
Anais da SBBN 2, 53-56 2015

PRODUCTION AND CONSUMPTION OF LACTATE IS RELATED TO THE HISTOLOGICAL TYPE IN UTERINE CERVIX CARCINOMAS
L Silva, F Brito, F Silva, L Neto, LG Goncalves, V Maximo, S Dias, A Felix, ...
INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER 23 (8) 2013

Diretrizes brasileiras de antiagregantes plaquetrios e anticoagulantes em cardiologia
AM Lorga Filho, AD Azmus, AM Soeiro, AS Quadros, A Avezum Junior, ...
Arquivos Brasileiros de Cardiologia 101, 01-95 2013

Brazilian guidelines on antiplatelet and anticoagulant agents in cardiology
AM Lorga Filho, AD Azmus, AM Soeiro, AS Quadros, A Avezum Junior, ...
Arquivos Brasileiros de Cardiologia 101, 01-95 2013

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世界民族 25 (4), 08 2011

Feasibility of concomitant chemotherapy (QT) and radiotherapy (RXT) protocol for laringeal preservation in a public hospital in Brazil.
AL Chaves, LV Muniz, RC Lima, LS Aguiar, LC Neto, JA Soares, ...
Journal of Clinical Oncology 28 (15_suppl), e16032-e16032 2010

Producing stylized videos using the AnimVideo rendering tool
RB Gomes, LM Oliveira, LS Britto‐Neto, TS Santos, GS Andrade, ...
International Journal of Imaging Systems and Technology 19 (2), 100-110 2009

Diretrizes da Sociedade Brasileira de Cardiologia: inteveno coronria percutnea e mtodos adjuntos diagnsticos em cardiologia intervencionista (II Edio-2008)
LA Mattos, L Neto, A Rassi Junior, JA Marin-Neto, AGM Sousa, FS Devito
Rev. bras. cardiol. invasiva, 9-88 2008

Message in a bottle: Stylized rendering of sand movies
LSB Neto, BM Carvalho
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007

Renderizaes no fotorealsticas para estilizao de imagens e vdeos usando areia colorida
LS Britto Neto
Universidade Federal do Rio Grande do Norte 2007

MOST CITED SCHOLAR PUBLICATIONS

Brazilian guidelines on antiplatelet and anticoagulant agents in cardiology
AM Lorga Filho, AD Azmus, AM Soeiro, AS Quadros, A Avezum Junior, ...
Arquivos Brasileiros de Cardiologia 101, 01-95 2013
Citations: 29

A systematic review on product recognition for aiding visually impaired people
A Machado, R Veras, K Aires, LSB Neto
IEEE Latin America Transactions 19 (4), 592-603 2021
Citations: 12

Bottled sand movies
BM Carvalho, LSB Neto, LM Oliveira
International Conference on Computer Graphics, Imaging and Visualisation 2006
Citations: 7

Message in a bottle: Stylized rendering of sand movies
LSB Neto, BM Carvalho
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007
Citations: 5

Gruta da Igrejinha
J ZEFERINO, J SILVA, LSB NETO, L AMORE, MT LIMA, WJ BRUNETTO
Revista da Escola de Minas 39 (3), 45-50 1986
Citations: 5

Metodologia de identificao de cdulas monetrias para deficientes visuais
LP Sousa, RMS Veras, LHS Vogado, LSB Neto
Revista de Sistemas e Computao-RSC 8 (1) 2018
Citations: 2

Maternal-fetal effects of Hancornia speciosa aqueous extract administration on pregnancy of diabetic rats
GT Volpato, LS Neto, DG Alves, MS Pinheiro, KE Campos, ...
WB Saunders Co Ltd 2015
Citations: 2

Sistemas wearable baseados em mtodos de viso computacional para auxiliar pessoas com deficincia visual
LSB Neto
[sn] 2016
Citations: 1

Renderizaes no fotorealsticas para estilizao de imagens e vdeos usando areia colorida
LS Britto Neto
Universidade Federal do Rio Grande do Norte 2007
Citations: 1

Renderizaes no fotorealsticas para estilizao de imagens e vdeos usando areia colorida
LSB Neto, BM Carvalho
Dissertao de Mestrado, Departamento de Informtica e Matemtica Aplicada 2007
Citations: 1

Evaluation of the efficacy, tolerability and cycle control of a monophasic oral contraceptive containing gestodene and ethinylestradiol (Minulet) in women over 35
RP Andrade, LF Aguiar, JM Aldrighi, IC Barbosa, RP Bossemeyer, ...
Gynecological Endocrinology 10 (sup5), 27-32 1996
Citations: 1