Zobrazeno 1 - 8
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pro vyhledávání: '"David Millán Escrivá"'
Autor:
David Millán Escrivá, Robert Laganiere
Discover interesting recipes to help you understand the concepts of object detection, image processing, and facial detectionKey FeaturesExplore the latest features and APIs in OpenCV 4 and build computer vision algorithmsDevelop effective, robust, an
Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithmsKey FeaturesDiscover best practices for engineering and maintaining OpenCV projectsExplore
Explore OpenCV 4 to create visually appealing cross-platform computer vision applicationsKey FeaturesUnderstand basic OpenCV 4 concepts and algorithmsGrasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural
Autor:
Roy Shilkrot, David Millán Escrivá
Work on practical computer vision projects covering advanced object detector techniques and modern deep learning and machine learning algorithmsKey FeaturesLearn about the new features that help unlock the full potential of OpenCV 4Build face detecti
Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3Key Features[•]Get to grips with the basics of Computer Vision and image processing[•]This is a step-by-step guide to developing sever
Autor:
David Millán Escrivá, Javier Tendillo Ruiz, Pau Garrigues Carbó, Andrés Martín Larroza Santacruz, Guillermo Amat Gomariz, Javier Perez Soler, Jose Luis Guardiola, Juan-Carlos Perez-Cortes
Publikováno v:
Journal of Signal Processing Systems.
Industrial inspection industry requires high precision, fast and reliable systems, where images play a central role. These systems are composed by several hardware and also cyber-physical componentes where complexity increases when multiple heterogen
Autor:
Omar Del-Tejo-Catala, Jose-Luis Guardiola, Javier Perez, David Millan Escriva, Alberto J. Perez, Juan-Carlos Perez-Cortes
Publikováno v:
IEEE Access, Vol 11, Pp 64507-64517 (2023)
Pose estimation assesses the 6D pose of one or many objects in a scene. Considerable attention has been dedicated to the advancement of pose estimation algorithms capable of identifying the orientation of multiple objects within a scene in cases wher
Externí odkaz:
https://doaj.org/article/a77be3425efc4a478b93a6235a1fd9ea
Autor:
Omar Del Tejo Catala, Ismael Salvador Igual, Francisco Javier Perez-Benito, David Millan Escriva, Vicent Ortiz Castello, Rafael Llobet, Juan-Carlos Perez-Cortes
Publikováno v:
IEEE Access, Vol 9, Pp 42370-42383 (2021)
Chest X-ray images are useful for early COVID-19 diagnosis with the advantage that X-ray devices are already available in health centers and images are obtained immediately. Some datasets containing X-ray images with cases (pneumonia or COVID-19) and
Externí odkaz:
https://doaj.org/article/d9c75879ae434c1bbd124ceb66d22ce0