Machine learning for computer vision

Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Sum...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Cipolla, Roberto
অন্যান্য লেখক: Battiato, Sebastiano (Editor, Publishing director), Farinella, Giovanni Maria (Editor, Publishing director), Cipolla, Roberto, 1963- (Publishing director)
বিন্যাস: Livre numérique
ভাষা:Anglais
প্রকাশিত: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
সংস্করন:1st ed. 2013.
মালা:Studies in Computational Intelligence 411
অনলাইন ব্যবহার করুন:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
টীকা: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Machine Learning for Computer Vision, Roberto Cipolla, Sebastiano Battiato, Giovanni Maria Farinella (Eds.), Berlin, Springer, 2013, 1 vol. (250 p.), Studies in Computational Intelligence, 978-3-642-28660-5
• Machine Learning for Computer Vision, Texte imprimé, 9783642286629
• Machine Learning for Computer Vision, Texte imprimé, 9783642446863
• Machine Learning for Computer Vision, Roberto Cipolla, Sebastiano Battiato, Giovanni Maria Farinella (Eds.), Berlin, Springer, 2013, 1 vol. (250 p.), Studies in Computational Intelligence, 978-3-642-28660-5
সূচিপত্রের সারণি:
  • Throwing Down the Visual Intelligence Gauntlet Actionable Information in Vision Learning Binary Hash Codes for Large-Scale Image Search Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition Real-Time Human Pose Recognition in Parts from Single Depth Images Scale-Invariant Vote-based 3D Recognition and Registration from Point Clouds Multiple Classifier Boosting and Tree-Structured Classifiers Simultaneous detection and tracking with multiple cameras Applications of Computer Vision to Vehicles: an extreme test