Vol. 33 No. 2 (2026)

View Vol. 33 No. 2 (2026)

Editor-in-Chief: Prof. Dr. Márcio Dorn - Federal University of Rio Grande do Sul - Brazil
Editorial support: Gustavo Zahorcsak Matias Silvano - Federal University of Rio Grande do Sul - Brazil

Editorial

With great satisfaction, we present the special edition of the Revista de Informática Teórica e Aplicada (RITA), dedicated to the 2025 Workshop on Computer Vision (WVC). This special volume celebrates the growing relevance of computer vision, evidenced by the significant increase in publications and the diversity of practical applications in sectors such as healthcare, agriculture, and security.

The WVC 2025 was held at the São Carlos Campus of the Federal University of São Carlos (UFSCar) in São Carlos, São Paulo, Brazil, from November 10th to 12th, 2025. The event gathered over 120 participants, including researchers, students, and industry professionals from all regions of Brazil and abroad. A total of 88 articles were submitted, and 48 articles were selected to compose this special edition. At least three reviewers carefully evaluated each submission, ensuring the high quality of the works presented here.

The WVC 2025 program featured various activities, including lectures by renowned experts such as Dr. Nicu Sebe (University of Trento - Italy), Dr. David Menotti (UFPR), Dr. João Paulo Papa (UNESP), and Dr. Wesley Nunes Gonçalves (UFMS), discussion panels on emerging topics, and a Hackathon promoted by PixForce, challenging participants to develop innovative solutions to real-world problems. In addition, practical workshops offered unique learning opportunities for students and professionals attending the event.

We are deeply grateful to the organizing committee members, the scientific committee, the invited speakers, and all the authors who entrusted WVC 2024 with disseminating their research. Our appreciation also extends to the sponsors and funding agencies, including CAPES, CNPq, PixForce, FAU and Funarbe, whose financial support was essential for the success of this event. Special thanks to RITA's Editor-in-Chief, Dr. Márcio Dorn, for enabling the publication of this special edition with the articles from WVC 2025.

We hope this special volume of RITA inspires new ideas and fosters collaborations, contributing to significant advancements in computer vision.

André Ricardo Backes
WVC 2025 General Chair

Published: 2026-03-28

WVC2025

  • Tracking Ethological Behaviors of Broiler Chickens Through Computer Vision (YoloV11) Using an Android Mobile Device

    Ryan Davi Oliveira de Meneses, Glauber da Rocha Balthazar
    11-18
    DOI: https://doi.org/10.22456/2175-2745.151469

  • Grad-CAM Sensitivity to Orientation Transformations in Breast Cancer Histopathological Images

    Felipe Moura da Silva, Roberta Barbosa Oliveira
    19-27
    DOI: https://doi.org/10.22456/2175-2745.150979

  • On the use of Image-Based Feature Extraction for Non-Intrusive Load Monitoring: A Comparative Analysis of Techniques and Window Sizes

    Juan Salin Corrêa, Ricardo Augusto Souza Fernandes
    28-35
    DOI: https://doi.org/10.22456/2175-2745.150978

  • A Deep Transfer Learning Strategy for Identifying Photovoltaic Panels Mounted on Building Rooftops from Orthophotos

    Marco A. M. Freitas Junior, Ricardo A. S. Fernandes
    36-43
    DOI: https://doi.org/10.22456/2175-2745.150976

  • Human Gesture Recognition using CNNs for Human-Robot Interaction

    Werikson Frederiko de Oliveira Alves, Michel Melo da Silva, Alexandre Santos Brandão
    44-51
    DOI: https://doi.org/10.22456/2175-2745.150950

  • A Luminous Pen for Air-Writing: Hybrid Approach with Computer Vision and Vision–Language Models

    Luma T. L. de Souza, Rafael A. D. Caldeira, Sérgio D. C. Leal, Maria Clara P. de Souza, Thiago M. Paixão, Richard J. M. G. Tello
    52-57
    DOI: https://doi.org/10.22456/2175-2745.150973

  • Sign Language Segmentation Models and Their Impact on Automatic Translation Systems

    Jéssica Luiza Ferreira Ramos, Melo da Silva, Mario Fernandes Montenegro Campos
    58-66
    DOI: https://doi.org/10.22456/2175-2745.150939

  • Magnetic Resonance Imaging Acceleration Using Diffusion Models: A Comparative Study of MC-DDPM and HFS-SDE

    João Paulo Ferreira Junior, Renata Manzano Maria, Marcelo Andrade da Costa Vieira
    67-72
    DOI: https://doi.org/10.22456/2175-2745.150968

  • CoSegXAI: A Pipeline for Context vs. Segmented ROI Images in Lung Disease Classification through Saliency Map Insights

    Graciella dos Santos Favoreto, Mariana Aya Suzuki Uchida, Pedro Augusto Luiz, Erikson Julio de Aguiar, Marcel Koenigkam Santos, Agma Juci Machado Traina
    73-80
    DOI: https://doi.org/10.22456/2175-2745.150955

  • Multi-Fruit Tracking and 3-D Structure Recovery via CoTracker

    Thiago Teixeira Santos
    81-88
    DOI: https://doi.org/10.22456/2175-2745.150960

  • Automation of Coffee Biotic Stresses Classification Using Convolutional Neural Networks and Image Preprocessing Techniques

    Daniel Imai Yamakawa, Ana Claudia Patrocinio, Pedro Moises de Sousa, Pedro Henrique Aparecido Damaso de Melo
    89-97
    DOI: https://doi.org/10.22456/2175-2745.150942

  • Comparative Evaluation of YOLO-family Detectors for Pig Detection in Precision Livestock Systems

    Marcos Vinicius Mendes Faria, Thiago Meireles Paixão, Francisco de Assis Boldt
    98-105
    DOI: https://doi.org/10.22456/2175-2745.150940

  • Performance Evaluation of Low-Cost 3D Scanning Techniques

    Bruno Biz De Castro , André Roberto Ortoncelli, Marlon Marcon
    106-114
    DOI: https://doi.org/10.22456/2175-2745.150932

  • Two-Stage Fine-Tuning of Object Detectors for Industrial Environments

    Gabriel Moreira, Ian Otoni, Michel M. Silva, Thiago L. Gomes
    115-122
    DOI: https://doi.org/10.22456/2175-2745.150904

  • Classifying Synthetic Facial Images: A Quantitative and Qualitative Approach with AI

    Fernanda Goyo Tamanaka, Lucas Fontes Buzuti, Carlos Eduardo Thomaz
    123-128
    DOI: https://doi.org/10.22456/2175-2745.150810

  • SAR Images Despeckling Using Convolutional Neural Networks with Stochastic Distances

    Pedro Henrique Salles Arouck de Souza, José Hiroki Saito, Francisco Fambrini
    129-136
    DOI: https://doi.org/10.22456/2175-2745.150936

  • Exploratory Study on Mastitis Identification in Bovine Udders Using Thermography

    Víctor Emmanuel Olmi Louzada, Matheus de Freitas Oliveira Baffa, Sandra Helena Gabaldi Wolf, Isabele Pessoa Ribeiro, Lucas Grassano Lattari
    137-144
    DOI: https://doi.org/10.22456/2175-2745.150930

  • Radiomics for the Classification of Radiological Patterns in Computed Tomography

    Heloísa Dias Viotto, Felipe Duarte Silva, Guilherme Eduardo Gonçalves da Silva, Heloisa de Oliveira Pinho, Ricardo Quer do Nascimento Filho, Lucas Ferrari de Oliveira
    145-153
    DOI: https://doi.org/10.22456/2175-2745.150929

  • Poultry Detection on Hooks in Meat Processing Plant Production Lines

    Leonardo dos Santos Valejo, Marlon Marcon, André Roberto Ortoncelli
    154-160
    DOI: https://doi.org/10.22456/2175-2745.150924

  • Deep Learning Models for Brachial Lumen Segmentation: A Comparative Study of UNet++, MultiResUNet, and TransUNet Architectures in B-Mode Ultrasound Imaging

    Breno Luiz Nunes da Silva, Alexandre Gonçalves Silva, Lucas Ziza Nastari, Rangel Arthur
    161-169
    DOI: https://doi.org/10.22456/2175-2745.150923

  • Evaluating Deep Segmentation Models for Wildfire Mapping Using Sentinel-2 Satellite Imagery

    Victor Hugo Lara Souza, Rodrigo Smarzaro, Leandro Henrique Furtado Pinto Silva, João Fernando Mari
    170-177
    DOI: https://doi.org/10.22456/2175-2745.150922

  • Federated Semantic Segmentation of Synthetic UAV Imagery under Non-IID Conditions

    Victor Gonçalves Vieira, Emanuel Teixeira Martins, Juliana Quintiliano Ferreira, Thiago Luange Gomes, Michel Melo Silva, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira
    178-184
    DOI: https://doi.org/10.22456/2175-2745.150921

  • Evaluating Preprocessing and Data Augmentation for Soybean Leaf Pest Classification with Deep Learning

    Ana Luiza dos Santos Borges, Larissa Ferreira Rodrigues Moreira, Leandro Henrique Furtado Pinto Silva, João Fernando Mari
    185-192
    DOI: https://doi.org/10.22456/2175-2745.150920

  • HEVA: Integrating ViT and ResNet50 with ABCD Clinical Features for Skin Cancer Diagnosis

    Antônio Marcio Crepaldi Junior, Bianca Aparecida Andrade, Ademar Takeo Akabane
    193-201
    DOI: https://doi.org/10.22456/2175-2745.150917

  • Semantic Segmentation of Coffee Regions From Satellite Images Using Deep Learning

    João Marcelo Ribeiro, Vitor Augusto Negrão de Assis, Lais Bueno Palos, Jorge Otávio de Souza Nogueira, Jhonathas Emiliano Candido, André Ricardo Backes
    202-209
    DOI: https://doi.org/10.22456/2175-2745.150916

  • Deep Learning-Based Brain Tumor Classification in MRI with External Validation Across Multiple Datasets

    Filipe Ferreira Viana, Leandro Henrique Furtado Pinto Silva, João Fernando Mari
    210-217
    DOI: https://doi.org/10.22456/2175-2745.150908

  • Comparison of Low-Cost 3D Reconstruction Techniques for Change Detection in Indoor Environments

    Walter Bueno de Brito Neto, Michel M. Silva, Thiago L. Gomes
    218-225
    DOI: https://doi.org/10.22456/2175-2745.150907

  • Automated Segmentation of the Spinal Column in MRI Volumes Using Deep Learning

    Renan Silva Carvalho, Leandro Henrique Furtado Pinto Silva, João Fernando Mari
    226-233
    DOI: https://doi.org/10.22456/2175-2745.150902

  • KLT Revisited: Spatio-Temporal Affine Regression for Feature Tracking

    Nigel Joseph Bandeira Dias, Gustavo Teodoro Laureano, Ronaldo Martins Da Costa
    234-242
    DOI: https://doi.org/10.22456/2175-2745.150903

  • Generalization in Deepfake Detection: A Comparative Analysis of Frequency-Domain and CNN Approaches

    Nathalia Farinha Rodrigues, Ademar Takeo Akabane, Vinicius Carbonezi de Souza, Luiz Antonio Buschetto Macarini
    243-251
    DOI: https://doi.org/10.22456/2175-2745.150900

  • Enhanced Engine Vibration by Computer Vision Methods for Predictive Maintenance

    Loureni Monteiro Coutinho, Leonardo de Assis Silva, Fabricio Bortolini de Sá
    252-259
    DOI: https://doi.org/10.22456/2175-2745.150897

  • Assessing Deep Hybrid Representations for Colorectal Polyp Classification in Histopathology Images

    Luan B. Guerra, Ana Beatriz S. Zerati, Ana Catarina M. Vicentim, Lucas C. Ribas
    260-268
    DOI: https://doi.org/10.22456/2175-2745.150896

  • SARS-CoV-2 Detection in Genosensor Images via Deep Learning and Data Augmentation

    Ana Beatriz S. Zerati, Luan B. Guerra, Osvaldo N. Oliveira Jr, Lucas C. Ribas
    269-275
    DOI: https://doi.org/10.22456/2175-2745.150894

  • Automated Analysis of Packaging Seal Failures Using Computer Vision Techniques

    Ana Osias, Ian Otoni, Thiago L. Gomes, Michel M. Silva
    276-284
    DOI: https://doi.org/10.22456/2175-2745.150833

  • Impact of Wavelet Pre-processing on Deep Learning Architectures for Renal Cancer Diagnosis

    Vinícius Meireles Pereira Santos, Ana Claudia Patrocinio, Pedro Moises de Sousa
    285-293
    DOI: https://doi.org/10.22456/2175-2745.150824

  • Cross-Validation Deep Learning for Breast Cancer Detection Using DMR-IR Infrared Images

    Renata dos Santos Melo, Henrique Coelho Fernandes, André Ricardo Backes
    294-301
    DOI: https://doi.org/10.22456/2175-2745.150755

  • Efficient Pothole Segmentation Using Quantization and Pruning for ADAS

    William D'Abruzzo Martins, Fernando Santos Osório, Diego Renan Bruno
    302-309
    DOI: https://doi.org/10.22456/2175-2745.150751

  • Graph-Based Nearest Centroid for Image Classification

    Alexandre L. M. Levada
    310-317
    DOI: https://doi.org/10.22456/2175-2745.150723

  • Federated Learning on Non-IID Environmental Images for Enhanced Wildfire Surveillance

    Elisa Ribeiro Gonçalves, Emanuel Teixeira Martins, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira
    318-325
    DOI: https://doi.org/10.22456/2175-2745.150636

  • Ensemble of Handcrafted and Learned Features using a Lightweight CNN for Colorectal Cancer Classification

    Larissa Ferreira Rodrigues Moreira, André Ricardo Backes
    326-332
    DOI: https://doi.org/10.22456/2175-2745.150622

  • PSO-based Client Selection to Improve Medical Image Classification in Federated Learning

    Leonardo Gabriel Ferreira Rodrigues, Larissa Ferreira Rodrigues Moreira, Rodrigo Moreira, André Ricardo Backes
    333-340
    DOI: https://doi.org/10.22456/2175-2745.150621

  • Combining Complex Networks and Multi-level Local Binary Patterns for Texture Analysis

    André Ricardo Backes
    341-347
    DOI: https://doi.org/10.22456/2175-2745.150620

  • Bias Analysis and Data Augmentation Strategies in Skin Lesion Classification

    Thiago Meneses Lopes, Martin Heckmann, Marcelo Ponciano da Silva, Pedro Henrique Bugatti, Priscila Tiemi Maeda Saito
    348-355
    DOI: https://doi.org/10.22456/2175-2745.150974

  • Improving Image Classification through Active Learning and Pseudo-Labeling in Vision-Language Models

    Willian P. Amorim, Cid Adinam Nogueira Santos, Priscila T. M. Saito
    356-363
    DOI: https://doi.org/10.22456/2175-2745.150941

  • Evaluating Monocular Depth Estimation on Embedded Platforms for Autonomous Navigation

    Wilbur Naike Chiuyari Veramendi, Fernando Santos Osório
    364-369
    DOI: https://doi.org/10.22456/2175-2745.150996

  • Livestock Fish Larvae Counting using DETR and YOLO based Deep Networks

    Daniel Ortega de Carvalho, Luiz Felipe Teodoro Monteiro, Fernanda Marques Bazilio, Gabriel Toshio Hirokawa Higa, Hemerson Pistori
    370-377
    DOI: https://doi.org/10.22456/2175-2745.150926