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Computer Vision Metrics Textbook Edition /

Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning. With over 800 essential references, as well as chapter-by-chapter learning assignments, b...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Krig, Scott (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Image Capture and Representation
  • Image Re-processing
  • Global and Regional Features
  • Local Feature Design Concepts
  • Taxonomy of Feature Description Attributes
  • Interest Point Detector and Feature Descriptor Survey
  • Ground Truth Data, Content, Metrics, and Analysis
  • Vision Pipeline and Optimizations
  • Feature Learning Architecture Taxonomy and Neuroscience Background
  • Feature Learning and Deep Learning Architecture Survey.   .