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Toward Category-Level Object Recognition

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Cover of 'Toward Category-Level Object Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Object Recognition in the Geometric Era: A Retrospective
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    Chapter 2 Toward Category-Level Object Recognition
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    Chapter 3 Industry and Object Recognition: Applications, Applied Research and Challenges
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    Chapter 4 What and Where: 3D Object Recognition with Accurate Pose
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    Chapter 5 Object Recognition Using Local Affine Frames on Maximally Stable Extremal Regions
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    Chapter 6 3D Object Modeling and Recognition from Photographs and Image Sequences
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    Chapter 7 Video Google: Efficient Visual Search of Videos
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    Chapter 8 Simultaneous Object Recognition and Segmentation by Image Exploration
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    Chapter 9 Comparison of Generative and Discriminative Techniques for Object Detection and Classification
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    Chapter 10 Synergistic Face Detection and Pose Estimation with Energy-Based Models
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    Chapter 11 Generic Visual Categorization Using Weak Geometry
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    Chapter 12 Components for Object Detection and Identification
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    Chapter 13 Cross Modal Disambiguation
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    Chapter 14 Translating Images to Words for Recognizing Objects in Large Image and Video Collections
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    Chapter 15 A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues
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    Chapter 16 Towards the Optimal Training of Cascades of Boosted Ensembles
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    Chapter 17 Visual Classification by a Hierarchy of Extended Fragments
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    Chapter 18 Shared Features for Multiclass Object Detection
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    Chapter 19 Generative Models for Labeling Multi-object Configurations in Images
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    Chapter 20 Object Detection and Localization Using Local and Global Features
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    Chapter 21 The Trace Model for Object Detection and Tracking
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    Chapter 22 A Discriminative Framework for Texture and Object Recognition Using Local Image Features
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    Chapter 23 A Sparse Object Category Model for Efficient Learning and Complete Recognition
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    Chapter 24 Object Recognition by Combining Appearance and Geometry
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    Chapter 25 Shape Matching and Object Recognition
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    Chapter 26 An Implicit Shape Model for Combined Object Categorization and Segmentation
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    Chapter 27 Statistical Models of Shape and Texture for Face Recognition
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    Chapter 28 Image Parsing: Unifying Segmentation, Detection, and Recognition
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    Chapter 29 Sequential Learning of Layered Models from Video
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    Chapter 30 An Object Category Specific mrf for Segmentation
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209 Mendeley
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Toward Category-Level Object Recognition
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/11957959
978-3-54-068794-8, 978-3-54-068795-5

Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman

Mendeley readers

The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Germany 2 <1%
United Kingdom 2 <1%
Japan 2 <1%
Chile 1 <1%
Canada 1 <1%
Turkey 1 <1%
France 1 <1%
Unknown 196 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 18%
Student > Master 17 8%
Researcher 12 6%
Student > Bachelor 7 3%
Student > Doctoral Student 4 2%
Other 12 6%
Unknown 119 57%
Readers by discipline Count As %
Computer Science 61 29%
Engineering 15 7%
Mathematics 3 1%
Psychology 2 <1%
Neuroscience 2 <1%
Other 2 <1%
Unknown 124 59%