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Les archives de fouilles : modes d’emploi / / Sandra Zanella, Jean-Pierre Brun, Martine Denoyelle, Pierre Rouillard, Stéphane Verger
Les archives de fouilles : modes d’emploi / / Sandra Zanella, Jean-Pierre Brun, Martine Denoyelle, Pierre Rouillard, Stéphane Verger
Autore Aniceto Lucas
Pubbl/distr/stampa Paris, : Collège de France, 2017
Altri autori (Persone) BellonElisabeth
BonfittoPeter Louis
BrunJean-Pierre
DenoyelleMartine
DessalesHélène
FadinLionel
GualandiMaria Letizia
Montagne-BôrrasAurélie
PimpaudAlban-Brice
PonceJean
RabotAlexandre
RohfritschAnne
RouillardPierre
SchnappAlain
TricocheAgnès
VergerStéphane
ZanellaSandra
Soggetto topico History & Archaeology
Archaeology
archéologie
fouilles
archives
archaeology
excavations
archeologia
scavo
archivio
Soggetto non controllato archives
fouilles
archéologie
ISBN 2-7226-0465-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Altri titoli varianti archives de fouilles
archives de fouilles 
Record Nr. UNINA-9910169183203321
Aniceto Lucas  
Paris, : Collège de France, 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Object Representation in Computer Vision [[electronic resource] ] : International NSF-ARPA Workshop, New York City, NY, USA, December 5 - 7, 1994. Proceedings / / edited by Martial Hebert, Jean Ponce, Terry Boult, Ari Gross
Object Representation in Computer Vision [[electronic resource] ] : International NSF-ARPA Workshop, New York City, NY, USA, December 5 - 7, 1994. Proceedings / / edited by Martial Hebert, Jean Ponce, Terry Boult, Ari Gross
Edizione [1st ed. 1995.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1995
Descrizione fisica 1 online resource (X, 366 p.)
Disciplina 006.3/7
Collana Lecture Notes in Computer Science
Soggetto topico Optical data processing
Application software
Robotics
Automation
Pattern recognition
Computer graphics
Artificial intelligence
Image Processing and Computer Vision
Computer Applications
Robotics and Automation
Pattern Recognition
Computer Graphics
Artificial Intelligence
ISBN 3-540-47526-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Report on the 1995 workshop on 3-D object representations in computer vision -- Object recognition: The search for representation -- Appearance-based 3D object recognition -- Using quasi-invariants for automatic model building and object recognition: An overview -- Object representation for recognition-by-alignment -- Distinctive representations for the recognition of curved surfaces using outlines and markings -- The epipolar parametrization -- Using two-dimensional models to interact with the three-dimensional world -- Representations for recognizing complex curved 3D objects -- On representation and invariant recognition of complex objects based on patches and parts -- Algebraic geometry and object representation in computer vision -- Discrete surface signal processing: The polygon as the surface element -- Spline representations in 3-D vision -- Triangles as a primary representation -- Body-centered representation and perception -- The challenge of generic object recognition -- A physics-based framework for segmentation, shape and motion estimation -- Modal represenations -- Time representation of deformations: Combining vibration modes and Fourier analysis -- Physics in a fantasy world vs robust statistical estimation -- Towards a robust physics-based object recognition system -- Toward non-parametric digital shape representation and recovery -- Spherical representations: From EGI to SAI -- From physics-based representation to functional modeling of highly complex objects.
Record Nr. UNISA-996466110503316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1995
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Object Representation in Computer Vision II [[electronic resource] ] : ECCV '96 International Workshop, Cambridge, UK, April 13 - 14, 1996. Proceedings / / edited by Jean Ponce, Andrew Zisserman, Martial Hebert
Object Representation in Computer Vision II [[electronic resource] ] : ECCV '96 International Workshop, Cambridge, UK, April 13 - 14, 1996. Proceedings / / edited by Jean Ponce, Andrew Zisserman, Martial Hebert
Edizione [1st ed. 1996.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1996
Descrizione fisica 1 online resource (IX, 411 p.)
Disciplina 006.3/7
Collana Lecture Notes in Computer Science
Soggetto topico Optical data processing
Pattern recognition
Computer graphics
Artificial intelligence
Computational complexity
Image Processing and Computer Vision
Pattern Recognition
Computer Graphics
Artificial Intelligence
Complexity
ISBN 3-540-70673-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Report on the 1996 international workshop on object representation in computer vision -- From an intensity image to 3-D segmented descriptions -- Recovering Generalized Cylinders by monocular vision -- Combinatorial geometry for shape representation and indexing -- Representing objects using topology -- Curvature based signatures for object description and recognition -- On 3D shape synthesis -- Shape constancy in pictorial relief -- Dimensionality of illumination manifolds in appearance matching -- Learning object representations from lighting variations -- Learning appearance models for object recognition -- An image oriented CAD approach -- An experimental comparison of appearance and geometric model based recognition -- Virtualized reality: Being mobile in a visual scene -- Generic shape learning and recognition -- A hybrid approach to 3D representation -- Finding pictures of objects in large collections of images -- Beyond the Hough transform: Further properties of the R? mapping and their applications -- Non-Euclidean object representations for calibration-free video overlay.
Record Nr. UNISA-996465866803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1996
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Toward Category-Level Object Recognition [[electronic resource] /] / edited by Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman
Toward Category-Level Object Recognition [[electronic resource] /] / edited by Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (XI, 620 p.)
Disciplina 006.3/7
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Pattern recognition
Optical data processing
Artificial intelligence
Computer graphics
Algorithms
Pattern Recognition
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing and Computer Vision
Artificial Intelligence
Computer Graphics
Algorithm Analysis and Problem Complexity
ISBN 3-540-68795-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Object Recognition in the Geometric Era: A Retrospective -- Dataset Issues in Object Recognition -- Industry and Object Recognition: Applications, Applied Research and Challenges -- Recognition of Specific Objects -- What and Where: 3D Object Recognition with Accurate Pose -- Object Recognition Using Local Affine Frames on Maximally Stable Extremal Regions -- 3D Object Modeling and Recognition from Photographs and Image Sequences -- Video Google: Efficient Visual Search of Videos -- Simultaneous Object Recognition and Segmentation by Image Exploration -- Recognition of Object Categories -- Comparison of Generative and Discriminative Techniques for Object Detection and Classification -- Synergistic Face Detection and Pose Estimation with Energy-Based Models -- Generic Visual Categorization Using Weak Geometry -- Components for Object Detection and Identification -- Cross Modal Disambiguation -- Translating Images to Words for Recognizing Objects in Large Image and Video Collections -- A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues -- Towards the Optimal Training of Cascades of Boosted Ensembles -- Visual Classification by a Hierarchy of Extended Fragments -- Shared Features for Multiclass Object Detection -- Generative Models for Labeling Multi-object Configurations in Images -- Object Detection and Localization Using Local and Global Features -- The Trace Model for Object Detection and Tracking -- Recognition of Object Categories with Geometric Relations -- A Discriminative Framework for Texture and Object Recognition Using Local Image Features -- A Sparse Object Category Model for Efficient Learning and Complete Recognition -- Object Recognition by Combining Appearance and Geometry -- Shape Matching and Object Recognition -- An Implicit Shape Model for Combined Object Categorization and Segmentation -- Statistical Models of Shape and Texture for Face Recognition -- Joint Recognition and Segmentation -- Image Parsing: Unifying Segmentation, Detection, and Recognition -- Sequential Learning of Layered Models from Video -- An Object Category Specific mrf for Segmentation.
Record Nr. UNISA-996466162203316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Toward Category-Level Object Recognition [[electronic resource] /] / edited by Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman
Toward Category-Level Object Recognition [[electronic resource] /] / edited by Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (XI, 620 p.)
Disciplina 006.3/7
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Pattern recognition
Optical data processing
Artificial intelligence
Computer graphics
Algorithms
Pattern Recognition
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing and Computer Vision
Artificial Intelligence
Computer Graphics
Algorithm Analysis and Problem Complexity
ISBN 3-540-68795-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Object Recognition in the Geometric Era: A Retrospective -- Dataset Issues in Object Recognition -- Industry and Object Recognition: Applications, Applied Research and Challenges -- Recognition of Specific Objects -- What and Where: 3D Object Recognition with Accurate Pose -- Object Recognition Using Local Affine Frames on Maximally Stable Extremal Regions -- 3D Object Modeling and Recognition from Photographs and Image Sequences -- Video Google: Efficient Visual Search of Videos -- Simultaneous Object Recognition and Segmentation by Image Exploration -- Recognition of Object Categories -- Comparison of Generative and Discriminative Techniques for Object Detection and Classification -- Synergistic Face Detection and Pose Estimation with Energy-Based Models -- Generic Visual Categorization Using Weak Geometry -- Components for Object Detection and Identification -- Cross Modal Disambiguation -- Translating Images to Words for Recognizing Objects in Large Image and Video Collections -- A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues -- Towards the Optimal Training of Cascades of Boosted Ensembles -- Visual Classification by a Hierarchy of Extended Fragments -- Shared Features for Multiclass Object Detection -- Generative Models for Labeling Multi-object Configurations in Images -- Object Detection and Localization Using Local and Global Features -- The Trace Model for Object Detection and Tracking -- Recognition of Object Categories with Geometric Relations -- A Discriminative Framework for Texture and Object Recognition Using Local Image Features -- A Sparse Object Category Model for Efficient Learning and Complete Recognition -- Object Recognition by Combining Appearance and Geometry -- Shape Matching and Object Recognition -- An Implicit Shape Model for Combined Object Categorization and Segmentation -- Statistical Models of Shape and Texture for Face Recognition -- Joint Recognition and Segmentation -- Image Parsing: Unifying Segmentation, Detection, and Recognition -- Sequential Learning of Layered Models from Video -- An Object Category Specific mrf for Segmentation.
Record Nr. UNINA-9910484940403321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui