The Resource Efficient visual recognition using the Hausdorff distance, William Rucklidge
Efficient visual recognition using the Hausdorff distance, William Rucklidge
Resource Information
The item Efficient visual recognition using the Hausdorff distance, William Rucklidge represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Efficient visual recognition using the Hausdorff distance, William Rucklidge represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- Summary
- This book presents the theoretical aspects and practical development of a computer vision system for searching an image for a specified model object; this system is reliable, tolerates imperfections in the image and model, and is fast enough for real-world applications. A number of search techniques are evaluated. The capabilities of the author's image search system are demonstrated on a variety of examples, and applications using it to track moving objects and navigate mobile robots are shown. This book is essential reading for anybody interested in model-based object recognition
- Language
- eng
- Extent
- 1 online resource (xiii, 178 pages)
- Contents
-
- The Hausdorff distance
- Exact computation
- Rasterisation
- Efficient computation
- Implementations and examples
- Applications
- Conclusions
- Isbn
- 9783540619932
- Label
- Efficient visual recognition using the Hausdorff distance
- Title
- Efficient visual recognition using the Hausdorff distance
- Statement of responsibility
- William Rucklidge
- Language
- eng
- Summary
- This book presents the theoretical aspects and practical development of a computer vision system for searching an image for a specified model object; this system is reliable, tolerates imperfections in the image and model, and is fast enough for real-world applications. A number of search techniques are evaluated. The capabilities of the author's image search system are demonstrated on a variety of examples, and applications using it to track moving objects and navigate mobile robots are shown. This book is essential reading for anybody interested in model-based object recognition
- Cataloging source
- SCPER
- http://library.link/vocab/creatorDate
- 1966-
- http://library.link/vocab/creatorName
- Rucklidge, William
- Dewey number
- 006.3/7
- Illustrations
- illustrations
- Index
- index present
- LC call number
- TA1634
- LC item number
- .R83 1996
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
- Lecture notes in computer science
- Series volume
- 1173
- http://library.link/vocab/subjectName
-
- Computer vision
- Optical pattern recognition
- Hausdorff measures
- Computer vision
- Hausdorff measures
- Optical pattern recognition
- Label
- Efficient visual recognition using the Hausdorff distance, William Rucklidge
- Bibliography note
- Includes bibliographical references (pages 171-176) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- The Hausdorff distance -- Exact computation -- Rasterisation -- Efficient computation -- Implementations and examples -- Applications -- Conclusions
- Control code
- 326762894
- Dimensions
- unknown
- Extent
- 1 online resource (xiii, 178 pages)
- Form of item
- online
- Isbn
- 9783540619932
- Lccn
- 96048288
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/BFb0015091
- Other physical details
- illustrations.
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)326762894
- Label
- Efficient visual recognition using the Hausdorff distance, William Rucklidge
- Bibliography note
- Includes bibliographical references (pages 171-176) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- The Hausdorff distance -- Exact computation -- Rasterisation -- Efficient computation -- Implementations and examples -- Applications -- Conclusions
- Control code
- 326762894
- Dimensions
- unknown
- Extent
- 1 online resource (xiii, 178 pages)
- Form of item
- online
- Isbn
- 9783540619932
- Lccn
- 96048288
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/BFb0015091
- Other physical details
- illustrations.
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)326762894
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Efficient-visual-recognition-using-the-Hausdorff/EnXEOJ_AEmg/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Efficient-visual-recognition-using-the-Hausdorff/EnXEOJ_AEmg/">Efficient visual recognition using the Hausdorff distance, William Rucklidge</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Item Efficient visual recognition using the Hausdorff distance, William Rucklidge
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Efficient-visual-recognition-using-the-Hausdorff/EnXEOJ_AEmg/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Efficient-visual-recognition-using-the-Hausdorff/EnXEOJ_AEmg/">Efficient visual recognition using the Hausdorff distance, William Rucklidge</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
