IMIST


Vue normale Vue MARC vue ISBD

Registration and Recognition in Images and Videos

Collection : Studies in Computational Intelligence, 1860-949X ; . 532 Détails physiques : XVIII, 283 p. 111 illus., 81 illus. in color. online resource. ISBN :9783642449079.
Tags de cette bibliothèque : Pas de tags pour ce titre. Connectez-vous pour ajouter des tags.
    Évaluation moyenne : 0.0 (0 votes)
Exemplaires : http://dx.doi.org/10.1007/978-3-642-44907-9

The Visual Field: Simultaneous Order in Immediate Visual Awareness -- A Primer for Colour Computer Vision Descriptor learning for omnidirectional image matching -- Visual Correspondence, the Lambert-Ambient Shape Space and the Systematic Design of Feature Descriptors -- Classemes: a Compact Image Descriptor for Efficient Novel-Class Recognition and Search -- The Enhanced Flock of Trackers Registration and Segmentation in Medical Imaging -- Clustering Games About 3D Faces Socially-driven Computer Vision for Group Behavior Analysis .-Mobile Computational Photography with FCam.

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 Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art  research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems.  The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year.This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature.  .

Il n'y a pas de commentaire pour ce document.

pour proposer un commentaire.
© Tous droits résérvés IMIST/CNRST
Angle Av. Allal Al Fassi et Av. des FAR, Hay Ryad, BP 8027, 10102 Rabat, Maroc
Tél:(+212) 05 37.56.98.00
CNRST / IMIST

Propulsé par Koha