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Deep Texture Features for Robust Face Spoofing Detection
(2017-12-01)
Biometric systems are quite common in our everyday life. Despite the higher difficulty to circumvent them, nowadays criminals are developing techniques to accurately simulate physical, physiological, and behavioral traits ...
Deep learning for biological image classification
(2017-11-01)
A number of industries use human inspection to visually classify the quality of their products and the raw materials used in the production process, this process could be done automatically through digital image processing. ...
A textural deep neural network architecture for mechanical failure analysis
(Bogotá - Ingeniería - Doctorado en Ingeniería - Ingeniería EléctricaUniversidad Nacional de Colombia - Sede Bogotá, 2020-06-21)
Nowadays, many classification problems are approached with deep learning architectures,
and the results are outstanding compared to the ones obtained with traditional computer
vision approaches. However, when it comes ...
Avanços recentes em caracterização e classificação de imagens de texturas: explorando teoria da informação, aprendizado profundo e de variedades
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2020-04-30)
The task of extracting features from images is a very important activity for many computer vision and image processing applications. Especially the characterization and identification of textures is a fundamental issue in ...
Plant species identification using color learning resources, shape, texture, through machine learning and artificial neural networks
(2020-12-01)
Morphological characteristics are still the most used tools for the identification of plant species. In this context, leaves are the most available plant organ used, given their perenniality and diversity. Computer-based ...
Influences of edaphoclimatic conditions on deep rooting and soil water availability in Brazilian Eucalyptus plantations
(2020-01-01)
Brazilian roundwood industry is one of the most important and productive in the world, with Eucalyptus plantations alone representing 73% of the total planted forests. Deep rooting in these plantations represents a more ...
Reconhecimento da região ocular para a identificação biométrica de pessoas utilizando aprendizado em profundidade
(Universidade Estadual Paulista (Unesp), 2019-08-30)
Na sociedade atual, a identificação precisa e rápida dos indivíduos é uma necessidade. Devido às crescentes preocupações sobre segurança, a Biometria tem sido proposta para este fim. A região ocular da face, que inclui o ...
Image processing through machine learning for wood quality classification
(Universidade Estadual Paulista (UNESP), 2016)
Image processing through machine learning for wood quality classification
(Universidade Estadual Paulista (Unesp), 2016-06-30)
The quality classification of wood is prescribed throughout the wood chain industry, particularly those from the processing and manufacturing fields. Those organizations have invested energy and time trying to increase ...