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Toward category-level object recognition

Author: Jean Ponce
Publisher: Berlin [u.a.] : Springer, 2006.
Series: Lecture notes in computer science, 4170.; State-of-the-art survey.
Edition/Format:   Print book : EnglishView all editions and formats
Publication:Toward Category-Level Object Recognition.
Database:WorldCat
Summary:

Contains selected papers based on presentations given, and discussions held, during two workshops held in Taormina in 2003 and 2004. This work is organized in topical sections: recognition of  Read more...

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Details

Genre/Form: Aufsatzsammlung
Conference papers and proceedings
Congresses
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Jean Ponce
ISBN: 3540687947 9783540687948
OCLC Number: 255368314
Notes: Literaturangaben.
Description: XI, 618 S. : ill., graph. Darst. ; 235 x 155 mm.
Contents: 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.
Series Title: Lecture notes in computer science, 4170.; State-of-the-art survey.
Responsibility: Jean Ponce ... (eds.).
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