Laboratorio de Processamento Digital de Imagens

Image Processing Laboratory

Research

  • Sign Language Recognition
  • Person Re-identification
  • Ear Recognition
  • Mosquito Egg Segmentation
  • Decision-making systems for biology and industrial applications
  • Vision based inspection systems for industrial applications
  • Medical image processing (cervical cells)
  • Segmentation of regions of interest
  • Digital image processing (biology, material Science and industry)

Our Team

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Guillermo Camara Chavez

Faculty, Associate Professor

I received the M.Sc. degree in Computer Science in 2002 from the University of São Paulo, São Paulo, Brazil, and the Ph.D. degree in Computer Science in 2007 from the Federal University of Minas Gerais, Belo Horizonte, Brazil and the Ph.D. in image and signal processing from the University of Cergy-Pontoise, Paris, France. Currently, I am an associate professor at Federal University of Ouro Preto since 2009. My research interest focus on video and image processing, computer vision, pattern recognition and machine learning. I have projects related to gesture recognition, specially focus on brazilian sign language recognition.

CV Lattes

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Andrea Gomes Campos Bianchi

Faculty, Associate Professor

I hold a degree in Physics from the University of São Paulo (1996), a master's degree and a doctorate in Computational Physics from the University of São Paulo (1998 and 2003). Currently I am an associate professor at the Federal University of Ouro Preto. I have experience in the area of Computer Science, with emphasis on Image Processing and Analysis, working mainly on the following topics: computer vision, image processing and computer simulation. I have projects related to the construction of computational tools capable of investigating images of microscopies in the areas of Materials and Biology

CV Lattes

PhD Students

Edwin Escobedo Cárdenas

Continous dynamic brazilian sign language recognition.

CV Lattes

Paulo Henrique Calaes

Collaborative and integrated environments of computer vision for knowledge extraction.

CV Lattes

Tales Mota Machado

Collaborative framework for knowledge extraction from images - cervical cell case

CV Lattes

Master's Students

Pedro Saint Clair Garcia

Automatic Identification Aedes aegypti Eggs Number in Digital Images Using Neural Convolutional Networks

CV Lattes

Ademir Rafael Marques Guedes

Real time violence detection scenes

CV Lattes

Debora Nascimento Nasser

Optimization techniques for nucleus cervical cell segmentation

CV Lattes

Guilherme Gaighner Netto

Laser-based machine vision method for defects detection in conveyor belts

CV Lattes

Undergraduate Students

Thiago Oliveira

A comparison of handcrafted features and deep learnig approach for ear recognition

CV Lattes

Douglas Wender Antunes Isidoro

Cervical cell recognition and classification

CV Lattes

Fagner Bernardo Oliveira

Web developement of a public cervical cell image database aiming supporting cervical cancer analysis of Papsmear

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Julia Beatriz Azevedo

Cervical Cell feature extraction

CV Lattes

Publications

2019

  1. Araujo, Flavio H.D. ; Silva, Romuere R.V. ; Ushizima, Daniela M. ; Rezende, Mariana T. ; Carneiro, Claudia M. ; Campos Bianchi, Andrea G. ; Medeiros, Fatima N.S. . Deep learning for cell image segmentation and ranking. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, v. 72, p. 13-21, 2019
  2. Cayllahua-Cahuina, Edward ; Cousty, Jean ; Guimaraes, Silvio Jamil F; Kenmochi, Yukiko ; Camara-Chavez, Guillermo ; De Albuquerque Araujo, Arnaldo. A study of observation scales based on Felzenswalb-Huttenlocher dissimilarity measure for hierarchical segmentation. In: International Conference on Discrete Geometry for Computer Imagery, 2019, Paris. 21st International Conference on Discrete Geometry for Computer Imagery, 2019.
  3. Ferreira, D. S. ; Ramalho, G. L. B. ; Medeiros, F. N. S. ; Bianchi, A. G. C. ; Carneiro, Claudia ; Ushizima, D. M. . Saliency-Driven System with Deep Learning for Cell Image Classification. In: IEEE 16th International Symposium on Biomedical Imaging, 2019, Veneza, Itália. Saliency-Driven System with Deep Learning for Cell Image Classification, 2019
  4. Diniz, D. N. ; Souza, M. J. F. ; Oliveira, P. H. C. ; Carneiro, C. ; Ushizima, D. M. ; Medeiros, F. N. S. ; Bianchi, A. G. C. . An Iterated Local Search Algorithm for Cervical Cell Nuclei Detection within Pap Smears Exams. In: ICEIS 2019 - International Conference on Enterprise Information System, 2019, Creete - Greece. Proceedings of International Conference on Enterprise Information System, 2019

2018

  1. Cayllahua-Cahuina, Edward ; Cousty, Jean ; Kenmochi, Yukiko ; De Albuquerque Araujo, Arnaldo ; Camara-Chavez, Guillermo ; Guimaraes, Silvio Jamil F. . Efficient algorithms for hierarchical graph-based segmentation relying on the Felzenszwalb-Huttenlocher dissimilarity. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, v. 33, p. 01-27, 2018
  2. Cayllahua-Cahuina, Edward ; Cousty, Jean ; Kenmochi, Yukiko ; De Albuquerque Araujo, Arnaldo ; Camara-Chavez, Guillermo; ; Guimaraes, Silvio Jamil F.. Algorithms for hierarchical segmentation based on the Felzenszwalb-Huttenlocher dissimilarity. In: International Conference on Pattern Recognition and Artificial Intelligence, 2018, Montreal. International Conference on Pattern Recognition and Artificial Intelligence, 2018. p. 108-113.
  3. Otiniano-Rodriguez, K. C. ; Araujo, A. de A. ; Camara-Chavez, G. ; Cousty, J. ; Guimaraes, S. J. F. ; Perret, B. . Hierarchy-Based Salient Regions: a region detector based on hierarchies of partitions. In: 23rd Iberoamerican Congress on Pattern Recognition, 2018, Madrid. 23rd Iberoamerican Congress on Pattern Recognition, 2018
  4. Mora-Colque, Rensso V.H. ; Caetano, C. ; Melo, V. H. C. ; Camara-Chavez, G. ; Schwartz, W. R. . Novel Anomalous Event Detection based on Human-object Interactions.. In: International Conference on Computer Vision Theory and Applications, 2018, Madeira. VISAPP 2018 - International Conference on Computer Vision Theory and Applications, 2018
  5. Cavalcanti Sales, Anderson Luis; Vareto Rafael Henrique; Schwartz, William ; Camara-Chavez, Guillermo. Single-Shot Person Re-Identification Combining Similarity Metrics and Support Vectors. In: 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018, Paraná. 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018. p. 250
  6. Escobedo-Cardenas, Edwin Jonathan ; Camara-Chavez, Guillermo. Multimodal Human Action Recognition Based on a Fusion of Dynamic Images Using CNN Descriptors. In: 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018, Parana. 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018. p. 95.
  7. Sales, A. L. C. ; Vareto, R. H. ; Schwartz, W. R. ; Camara-Chavez, G. Fusion features in person re-identification combining similarity metrics and support vectors. In: Workshop de Visão Computacional, 2018, Ilheus. XIV Workshop de Visão Computacional, 2018
  8. Garcia, P. S. C. ; Martins, R. ; Coelho, G. L. L. M. ; Camara-Chavez, G. Automatic Identification Aedes aegypt Eggs Number in Digital Images using Convolutional Neural Networks. In: Workshop de Visão Computacional, 2018, Ilheus. XIV Workshop de Visão Computacional, 2018

2017

  1. Nascimento, R. ; Carvalho, R. ; Delabrida, S. ; Bianchi, Andrea G. C. ; Oliveira, R. A. R. ; Garcia, L. G. U. . An Integrated Inspection System for Belt Conveyor Rollers - Advancing in an Enterprise Architecture. In: 19th International Conference on enterprise information systems - ICEIS, 2017, Porto. Proceedings of 19th International Conference on enterprise information systems, 2017. v. 2. p. 190-200.
  2. Amorin, V. J. P. ; Mion, C. A. L. ; Pereira, I. M. ; Santos, R. C. C. M. ; Bianchi, A. G. C. ; Oliveira, R. A. R. . Recognizing Falls and Surfaces Using Mobile Devices. In: SEMISH Seminário Integrado de Software e Hardware, 2017, São Paulo. Anais do 44th SEMISH Seminário Integrado de Software e Hardware, 2017.
  3. Oliveira, Paulo H. C. ; Moreira, Gladston ; Ushizima, Daniela M. ; Carneiro, Claudia M. ; Medeiros, Fatima N. S. ; De Araujo, Flavio H. D. ; E Silva, Romuere R. V. ; Bianchi, Andrea G. C. . A multi-objective approach for calibration and detection of cervical cells nuclei. In: 2017 IEEE Congress on Evolutionary Computation (CEC), 2017, Donostia. 2017 IEEE Congress on Evolutionary Computation (CEC), 2017. p. 2321
  4. Menejes-Palomino, N. ; Camara-Chavez, G. . Abnormal Event Detection in Video Using Motion and Appearance Information. In: Iberoamerica Conference on Pattern Recognition - CIARP, 2017, Valparaiso. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2017. Lecture Notes in Computer Science., 2017. v. 10657
  5. Bombonato, L. ; Camara-Chavez, G. ; Silva, P. . Real-Time Brand Logo Recognition. In: Iberoamerica Conference on Pattern Recognition - CIARP, 2017, Valparaiso. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2017. Lecture Notes in Computer Science., 2017. v. 10657.
  6. Escobedo-Cardenas, E. ; Camara-Chavez, G. . Fusion of Deep Learning Descriptors for Gesture Recognition. In: Iberoamerica Conference on Pattern Recognition - CIARP, 2017, Valparaiso. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2017. Lecture Notes in Computer Science., 2017. v. 10657.
  7. Bombonato, Leonardo ; Camara-Chavez, Guillermo ; Silva, Pedro . Real-Time Single-Shot Brand Logo Recognition. In: 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2017, Niteroi. 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2017. p. 134.

2016

  1. Souza, F. D. M. ; Camara-Chavez, G. ; Sarkar, S. . Building Semantic Understanding Beyond Deep Learning from Sound and Vision. In: 23rd International Conference on Pattern Recognition, 2016, Cancun. Building Semantic Understanding Beyond Deep Learning from Sound and Vision, 2016
  2. Escobedo-Cardenas, E. ; Camara-Chavez, G. . A new Approach for Dynamic Gesture Recognition using Skeleton Trajectory Representation and Histograms of Cumulative Magnitudes. In: 29th Conference on Graphics, Patterns and Images (SIBGRAPI'16), 2016, São Jose dos Campos. Proceedings of the 29th Conference on Graphics, Patterns and Images (SIBGRAPI'16), 2016

2015

  1. Mendes, Jean Carlo ; Gomes Campos Bianchi, Andrea ; Junior, Álvaro R. Pereira. Vehicle Tracking and Origin-destination Counting System for Urban Environment. In: International Conference on Computer Vision Theory and Applications, 2015, Berlin. Proceedings of the 10th International Conference on Computer Vision Theory and Applications. p. 600
  2. Escobedo-Cardenas, E. ; Camara-Chavez, G. . A Robust Gesture Recognition using Hand Local Data and Skeleton Trajectory. In: IEEE International Conference on Image Processing, 2015, Québec. Proceeding on IEEE International Conference in Image Processing, 2015. p. 1-5
  3. Otiniano-Rodriguez, K. C. ; Cayllahua-Cahuina, E. J. Y. ; Araujo, A. de A. ; Camara-Chavez, G. . Finger Spelling Recognition using Kernel Descriptors and Depth Images. In: XXVIII Conference on Graphics, Patterns and Images, 2015, Salvador, Bahia. Proceeding on XXVII Conference on Graphics, Patterns and Images (SIBGRAPI 15), 2015. p. 1-8
  4. Escobedo-Cardenas, E. ; Camara-Chavez, G. . Finger Spelling Recognition from Depth data using Direction Cosines and Histogram of Cumulative Magnitudes. In: XXVIII Conference on Graphics, Patterns and Images, 2015, Salvador, Bahia. Proceedings on XXVIII Conference on Graphics, Patterns and Images (SIBGRAPI 15), 2015. p. 9.
  5. Peixoto, S. P. G. S. ; Goncalves, G. R. ; Camara-Chavez, G. ; Schwartz, W. R. ; Menotti, D. . Brazilian License Plate Character Recognition using Deep Learning. In: XI Workshop de Visão Computacional, 2015, São Carlos. XI Workshop de Visão Computacional, 2015.

2014

  1. Ushizima, Daniela ; Bianchi, A. G. C. ; Carneiro, C. . Segmentation of subcellular compartments combining superpixel representation with Voronoi diagrams. In: International Symposium on Biomedical Imaging 2014, 2014, Beijing. Proceedings of International Symposium on Biomedical Imaging 2014, 2014.
  2. Silva, M. A. A. ; Camara-Chavez, G. . Face Sketch Recognition from Local Features. In: IEEE Conference on Graphics, Patterns and Images (Sibgrapi XXVII), 2014, Rio de Janeiro. Proceedings, 2014.
  3. Almeida, S. S. ; Nazare-Jr, A. C. ; Araujo, A. de A. ; Menotti, D. ; Camara-Chavez, G. . Speeding up a Video Summarization Approach using GPUs and Multicore CPUs. In: The International Conference on Computational Science, 2014, Cairns. Proceedings, 2014.
  4. Almeida, S. S. ; Cayllahua-Cahuina, E. J. Y. ; Camara-Chavez, G. ; Araújo, Arnaldo de A. ; MENOTTI, D. . GPUs and Multicore CPUs Implementations of a Static Video Summarization. In: XIX Iberoamerican Congress on Pattern Recognition, 2014, Puerto Vallarte. XIX Iberoamerican Congress on Pattern Recognition (CIARP), 2014. p. 1-8.
  5. Prates, R. F. C. ; Camara-Chavez, G. ; Schwartz, W. R. ; Menotti, D. . An Adaptive Vehicle License Plate Detection at Higher Matching Degree. In: XIX Iberoamerican Congress on Pattern Recognition, 2014, Puerto Vallarta. XIX Iberoamerican Congress on Pattern Recognition (CIARP), 2014. p. 1-8.
  6. Mora-Colque, Rensso ; Camara-Chavez, G. ; Schwartz, W. R. . Detection of Groups of People in Surveillance Videos Based on Spatio-Temporal Clues. In: Iberoamerican Congress on Pattern Recognition, 2014, Puerto Vallarta. Iberoamerican Congress on Pattern Recognition (CIARP), 2014. p. 948-955
  7. Silva, S. S. ; Schwartz, W. R. ; Camara-Chavez, G. . Spatial Pyramid Matching for Finger Spelling Recognition in Intensity Images. In: Iberoamerican Congress on Pattern Recognition, 2014, Puerto Vallarta. Iberoamerican Congress on Pattern Recognition (CIARP), 2014. p. 629-636.

About Us

The Image Processing Lab (LaPDI) is part of the Department of Computer Science at the Federal University of Ouro Preto. The research of our lab is focuses in the areas of Image Processing, Computer Vision and Machine Learning.

The main activities are related to: image and video analysis, biological image analysis, gesture recognition and video surveillance.