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07718nam a2200889 i 4500 |
| 001 - CONTROL NUMBER |
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6813408 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20200413152902.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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m eo d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr cn |||m|||a |
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110423s2011 caua foab 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781598299694 (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| Canceled/invalid ISBN |
9781598299687 (pbk.) |
| 024 7# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.2200/S00332ED1V01Y201103AIM011 |
| Source of number or code |
doi |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(CaBNVSL)gtp00547895 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(OCoLC)720114130 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
CaBNVSL |
| Transcribing agency |
CaBNVSL |
| Modifying agency |
CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
TA1634 |
| Item number |
.G728 2011 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.37 |
| Edition number |
22 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Grauman, Kristen Lorraine, |
| Dates associated with a name |
1979- |
| 245 10 - TITLE STATEMENT |
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| Title |
Visual object recognition |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc. |
Kristen Grauman, Bastian Leibe. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : |
| Name of publisher, distributor, etc. |
Morgan & Claypool, |
| Date of publication, distribution, etc. |
c2011. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 electronic text (xvii, 163 p.) : |
| Other physical details |
ill., digital file. |
| 490 1# - SERIES STATEMENT |
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| Series statement |
Synthesis lectures on artificial intelligence and machine learning, |
| International Standard Serial Number |
1939-4616 ; |
| Volume/sequential designation |
# 11 |
| 538 ## - SYSTEM DETAILS NOTE |
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| System details note |
Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE |
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| System details note |
System requirements: Adobe Acrobat Reader. |
| 500 ## - GENERAL NOTE |
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| General note |
Part of: Synthesis digital library of engineering and computer science. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Series from website. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references (p. 133-162). |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Preface -- Acknowledgments -- Figure credits -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
1. Introduction -- Overview -- Challenges -- The state of the art -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
2. Overview: recognition of specific objects -- Global image representations -- Local feature representations -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
3. Local features: detection and description -- Introduction -- Detection of interest points and regions -- Keypoint localization -- Scale invariant region detection -- Affine covariant region detection -- Orientation normalization -- Summary of local detectors -- Local descriptors -- The SIFT descriptor -- The SURF detector/descriptor -- Concluding remarks -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
4. Matching local features -- Efficient similarity search -- Tree-based algorithms -- Hashing-based algorithms and binary codes -- A rule of thumb for reducing ambiguous matches -- Indexing features with visual vocabularies -- Creating a visual vocabulary -- Vocabulary trees -- Choices in vocabulary formation -- Inverted file indexing -- Concluding remarks -- |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
5. Geometric verification of matched features -- Estimating geometric models -- Estimating similarity transformations -- Estimating affine transformations -- Homography estimation -- More general transformations -- Dealing with outliers -- RANSAC -- Generalized Hough transform -- Discussion -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
6. Example systems: specific-object recognition -- Image matching -- Object recognition -- Large-scale image retrieval -- Mobile visual search -- Image auto-annotation -- Concluding remarks -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
7. Overview: recognition of generic object categories -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
8. Representations for object categories -- Window-based object representations -- Pixel intensities and colors -- Window descriptors: global gradients and texture -- Patch descriptors: local gradients and texture -- A hybrid representation: bags of visual words -- Contour and shape features -- Feature selection -- Part-based object representations -- Overview of part-based models -- Fully-connected models: the constellation model -- Star graph models -- Mixed representations -- Concluding remarks -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
9. Generic object detection: finding and scoring candidates -- Detection via classification -- Speeding up window-based detection -- Limitations of window-based detection -- Detection with part-based models -- Combination classifiers -- Voting and the generalized Hough transform -- RANSAC -- Generalized distance transform -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
10. Learning generic object category models -- Data annotation -- Learning window-based models -- Specialized similarity measures and kernels -- Learning part-based models -- Learning in the constellation model -- Learning in the implicit shape model -- Learning in the pictorial structure model -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
11. Example systems: generic object recognition -- The Viola-Jones face detector -- Training process -- Recognition process -- Discussion -- The HOG person detector -- Bag-of-words image classification -- Training process -- Recognition process -- Discussion -- The implicit shape model -- Training process -- Recognition process -- Vote backprojection and top-down segmentation -- Hypothesis verification -- Discussion -- Deformable part-based models -- Training process -- Recognition process -- Discussion -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
12. Other considerations and current challenges -- Benchmarks and datasets -- Context-based recognition -- Multi-viewpoint and multi-aspect recognition -- Role of video -- Integrated segmentation and recognition -- Supervision considerations in object category learning -- Using weakly labeled image data -- Maximizing the use of manual annotations -- Unsupervised object discovery -- Language, text, and images -- |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
13. Conclusions -- Bibliography -- Authors' biographies. |
| 506 1# - RESTRICTIONS ON ACCESS NOTE |
|---|
| Terms governing access |
Abstract freely available; full-text restricted to subscribers or individual document purchasers. |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Compendex |
| 510 0# - CITATION/REFERENCES NOTE |
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| Name of source |
INSPEC |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Google scholar |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Google book search |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
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| Additional physical form available note |
Also available in print. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
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| Source of description note |
Title from PDF t.p. (viewed on April 23, 2011). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Pattern recognition systems. |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
Global representations versus local descriptors |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Detection and description of local invariant features |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
Efficient algorithms for matching local features |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
Tree-based and hashing-based search algorithms |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
Visual vocabularies and bags-of-words |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
Methods to verify geometric consistency according to parameterized geometric transformations |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
Dealing with outliers in correspondences |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
RANSAC and the Generalized Hough transform |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
Window-based descriptors |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Histograms of oriented gradients and rectangular features |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Part-based models |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Star graph models and fully connected constellations |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Pyramid match kernels |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Detection via sliding windows |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Hough voting |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Generalized distance transform |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Implicit Shape Model |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Deformable Part-based Model |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Leibe, Bastian. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Print version: |
| International Standard Book Number |
9781598299687 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Synthesis digital library of engineering and computer science. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Synthesis lectures on artificial intelligence and machine learning, |
| International Standard Serial Number |
1939-4616 ; |
| Volume/sequential designation |
# 11. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Abstract with links to resource |
| Uniform Resource Identifier |
http://ieeexplore.ieee.org/servlet/opac?bknumber=6813408 |
