1.

Record Nr.

UNISALENTO991000993349707536

Autore

Pozzi, Nedo

Titolo

Come la famiglia così la società : primo reportage su una proposta sociale di Chiara Lubich / a cura di Nedo Pozzi

Pubbl/distr/stampa

Roma : Citta nuova, 1995

ISBN

8831125141

Descrizione fisica

183 p. ; 20 cm.

Collana

Spaziofamiglia

Soggetti

Famiglia

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910437926303321

Titolo

Machine learning for computer vision / / Roberto Cipolla, Sebastiano Battiato, and Giovanni Maria Farinella (eds.)

Pubbl/distr/stampa

Berlin ; ; New York, : Springer, c2013

ISBN

9783642286612

3642286615

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (XXII, 250 p.)

Collana

Studies in computational intelligence, , 1860-949X ; ; 411

Altri autori (Persone)

CipollaRoberto

BattiatoSebastiano

FarinellaGiovanni Maria

Disciplina

006.3/7

Soggetti

Computer vision

Machine learning

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references.



Nota di contenuto

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.

Sommario/riassunto

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. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss 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.