Search Results - "Gonzaga, Adilson"

Evaluating dynamic texture descriptors to recognize human iris in video image sequence by de Melo Langoni, Virgílio, Gonzaga, Adilson

“…In the last decades, iris features have been widely used in biometric systems. Because iris features are virtually unique for each person, their usage is…”
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A comparison among keyframe extraction techniques for CNN classification based on video periocular images by Toledo Ferraz, Carolina, Barcellos, William, Pereira Junior, Osmando, Trevisan Negri Borges, Tamiris, Garcia Manzato, Marcelo, Gonzaga, Adilson, Hiroki Saito, José

“…Training and validation sets of labeled data are important components used in supervised learning to build a classification model. During training, most…”
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A Novel Fusion-Based Texture Descriptor to Improve the Detection of Architectural Distortion in Digital Mammography by Junior, Osmando Pereira, Oliveira, Helder Cesar Rodrigues, Ferraz, Carolina Toledo, Saito, José Hiroki, Vieira, Marcelo Andrade da Costa, Gonzaga, Adilson

“…Architectural distortion (AD) is the earliest sign of breast cancer that can be detected on a mammogram, and it is usually associated with malignant tumors…”
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Human gait recognition using extraction and fusion of global motion features by Arantes, Milene, Gonzaga, Adilson

“…This paper proposes a novel computer vision approach that processes video sequences of people walking and then recognises those people by their gait. Human…”
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Object classification using a local texture descriptor and a support vector machine by Ferraz, Carolina Toledo, Gonzaga, Adilson

“…Objects classification or object detection is one of the most challenging tasks in computer vision. Digital images taken of real-life scenes capture objects at…”
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Human iris feature extraction under pupil size variation using local texture descriptors by de Souza, Jones Mendonça, Gonzaga, Adilson

“…The human iris texture is one of the most reliable biometric traits because it is unique, and the iris pattern remains stable for years. However, iris images…”
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A new approach for color image segmentation based on color mixture by Severino, Osvaldo, Gonzaga, Adilson

“…The aim of this paper is to propose a new methodology for color image segmentation. We have developed an image processing technique, based on color mixture,…”
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Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor by Vieira, Raissa Tavares, Negri, Tamiris Trevisan, Gonzaga, Adilson

“…Texture image classification, especially for images with substantial changes in rotation, illumination, scale and point of view, is a fundamental and…”
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Smoothing: A natural way to detect contour features by Louro, Antonio, Machado, Will, Gonzaga, Adilson

“…This work presents a dominant point detector. The angles of the contour are characterized through local entropy produced by a rotationally symmetric smoothing…”
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A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices by de Oliveira, Helder C.R., Mencattini, Arianna, Casti, Paola, Catani, Juliana H., de Barros, Nestor, Gonzaga, Adilson, Martinelli, Eugenio, da Costa Vieira, Marcelo A.

“…[Display omitted] •Automatic localization of architectural distortion candidates in digital breast tomosynthesis slices by Gaussian curvature computation and…”
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Hand Image Segmentation in Video Sequence by GMM: a comparative analysis by Ribeiro, H.L., Gonzaga, A.

“…This paper describes different approaches of realtime GMM (Gaussian mixture method) background subtraction algorithm using video sequences for hand image…”
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Extraction and Selection of Dynamic Features of the Human Iris by Gonzaga, Adilson, da Costa, Ronaldo Martins

“…The personal identification through iris texture analysis is a highly efficient biometric identification method. Some algorithms and techniques were developed,…”
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Image Micro-pattern Analysis Using Fuzzy Numbers by Vieira, Raissa T., de Oliveira Chierici, Carlos Eduardo, Ferraz, Carolina T., Gonzaga, Adilson

“…This paper proposes a new methodology for micro pattern analysis in digital images based on fuzzy numbers. A micro-pattern is the structure of the gray-level…”
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Impact of Facial Expressions on the Accuracy of a CNN Performing Periocular Recognition by Coelho Dalapicola, Rodolfo, Tavares Vieira Queiroga, Raissa, Toledo Ferraz, Carolina, Trevisan Negri Borges, Tamiris, Hiroki Saito, Jose, Gonzaga, Adilson

“…The biometric periocular trait refers to the face region in the vicinity of the eye, including the eyelids, eyelashes and eyebrows. The periocular region has…”
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Human Epithelial Type 2 (HEp-2) Cell Classification by Using a Multiresolution Texture Descriptor by Tavares Vieira, Raissa, Negri, Tamiris, Cavichiolli, Adriane, Gonzaga, Adilson

“…Indirect Immunofluorescence Images (IIF) are generated based on a biological response to a specific light spectrum. The analysis of this type of image is…”
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Dynamic Features for Iris Recognition by da Costa, R. M., Gonzaga, A.

“…The human eye is sensitive to visible light. Increasing illumination on the eye causes the pupil of the eye to contract, while decreasing illumination causes…”
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Remote device command and resource sharing over the Internet: a new approach based on a distributed layered architecture by Monaco, F.J., Gonzaga, A.

“…In addition to the remote access and computer-augmented functionality brought about by the earliest modalities of distance operation, technical advances in the…”
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Wrapper Approach to Select a Subset of Color Components for Image Segmentation with Photometric Variations by de Castro Jorge, L.A., de Souza Ruiz, H., Ferreira, E.J., Gonzaga, A.

“…The choice of a color model is of great importance for many computer vision algorithms. However, there are many color models available; the inherent difficulty…”
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Border Detection in Digital Images: An Approach by Fuzzy Numbers by Boaventura, G., Gonzaga, A.

“…The purpose of this paper is to introduce a new approach for edge detection in gray shaded images. The proposed approach is based on the fuzzy number theory…”
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Target search by bottom-up and top-down fuzzy information by de Almeida Neves, E.M., Borelli, J.E., Gonzaga, A.

“…One of the basic tasks assigned to the attentional mechanism is to decide which location in the visual field we must pay attention first. An object containing…”
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