Integrating Graphics and Vision for Object Recognition:
Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sides of the same coin. In graphics, algorithms are given k...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
2001
|
Schriftenreihe: | The Springer International Series in Engineering and Computer Science
589 |
Schlagworte: | |
Online-Zugang: | FHI01 BTU01 Volltext |
Zusammenfassung: | Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sides of the same coin. In graphics, algorithms are given knowledge about the world in the form of models, cameras, lighting, etc., and infer (or render) an image of a scene. In vision, the process is the exact opposite: algorithms are presented with an image, and infer (or interpret) the configuration of the world. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis. Features of the book include: Many illustrations to supplement the text; A novel approach to the integration of graphics and vision; Genetic algorithms for vision; Innovations in closed loop object recognition. Integrating Graphics and Vision for Object Recognition will be of interest to research scientists and practitioners working in fields related to the topic. It may also be used as an advanced-level graduate text |
Beschreibung: | 1 Online-Ressource (XII, 184 p) |
ISBN: | 9781475755244 |
DOI: | 10.1007/978-1-4757-5524-4 |
Internformat
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490 | 0 | |a The Springer International Series in Engineering and Computer Science |v 589 | |
520 | |a Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sides of the same coin. In graphics, algorithms are given knowledge about the world in the form of models, cameras, lighting, etc., and infer (or render) an image of a scene. In vision, the process is the exact opposite: algorithms are presented with an image, and infer (or interpret) the configuration of the world. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis. Features of the book include: Many illustrations to supplement the text; A novel approach to the integration of graphics and vision; Genetic algorithms for vision; Innovations in closed loop object recognition. Integrating Graphics and Vision for Object Recognition will be of interest to research scientists and practitioners working in fields related to the topic. It may also be used as an advanced-level graduate text | ||
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650 | 4 | |a Computer science | |
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Datensatz im Suchindex
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any_adam_object | |
author | Stevens, Mark R. Beveridge, J. Ross |
author_facet | Stevens, Mark R. Beveridge, J. Ross |
author_role | aut aut |
author_sort | Stevens, Mark R. |
author_variant | m r s mr mrs j r b jr jrb |
building | Verbundindex |
bvnumber | BV045149057 |
collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)978-1-4757-5524-4 (OCoLC)1050936777 (DE-599)BVBBV045149057 |
dewey-full | 006.6 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.6 |
dewey-search | 006.6 |
dewey-sort | 16.6 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-1-4757-5524-4 |
format | Electronic eBook |
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id | DE-604.BV045149057 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:02Z |
institution | BVB |
isbn | 9781475755244 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538756 |
oclc_num | 1050936777 |
open_access_boolean | |
owner | DE-573 DE-634 |
owner_facet | DE-573 DE-634 |
physical | 1 Online-Ressource (XII, 184 p) |
psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
publishDate | 2001 |
publishDateSearch | 2001 |
publishDateSort | 2001 |
publisher | Springer US |
record_format | marc |
series2 | The Springer International Series in Engineering and Computer Science |
spelling | Stevens, Mark R. Verfasser aut Integrating Graphics and Vision for Object Recognition by Mark R. Stevens, J. Ross Beveridge Boston, MA Springer US 2001 1 Online-Ressource (XII, 184 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 589 Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sides of the same coin. In graphics, algorithms are given knowledge about the world in the form of models, cameras, lighting, etc., and infer (or render) an image of a scene. In vision, the process is the exact opposite: algorithms are presented with an image, and infer (or interpret) the configuration of the world. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis. Features of the book include: Many illustrations to supplement the text; A novel approach to the integration of graphics and vision; Genetic algorithms for vision; Innovations in closed loop object recognition. Integrating Graphics and Vision for Object Recognition will be of interest to research scientists and practitioners working in fields related to the topic. It may also be used as an advanced-level graduate text Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Computer Graphics Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Computer science Artificial intelligence Computer graphics Image processing Control engineering Robotics Mechatronics Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Computergrafik (DE-588)4010450-3 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 s Computergrafik (DE-588)4010450-3 s Mustererkennung (DE-588)4040936-3 s 1\p DE-604 Beveridge, J. Ross aut Erscheint auch als Druck-Ausgabe 9781441948601 https://doi.org/10.1007/978-1-4757-5524-4 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Stevens, Mark R. Beveridge, J. Ross Integrating Graphics and Vision for Object Recognition Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Computer Graphics Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Computer science Artificial intelligence Computer graphics Image processing Control engineering Robotics Mechatronics Maschinelles Sehen (DE-588)4129594-8 gnd Computergrafik (DE-588)4010450-3 gnd Mustererkennung (DE-588)4040936-3 gnd |
subject_GND | (DE-588)4129594-8 (DE-588)4010450-3 (DE-588)4040936-3 |
title | Integrating Graphics and Vision for Object Recognition |
title_auth | Integrating Graphics and Vision for Object Recognition |
title_exact_search | Integrating Graphics and Vision for Object Recognition |
title_full | Integrating Graphics and Vision for Object Recognition by Mark R. Stevens, J. Ross Beveridge |
title_fullStr | Integrating Graphics and Vision for Object Recognition by Mark R. Stevens, J. Ross Beveridge |
title_full_unstemmed | Integrating Graphics and Vision for Object Recognition by Mark R. Stevens, J. Ross Beveridge |
title_short | Integrating Graphics and Vision for Object Recognition |
title_sort | integrating graphics and vision for object recognition |
topic | Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Computer Graphics Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Computer science Artificial intelligence Computer graphics Image processing Control engineering Robotics Mechatronics Maschinelles Sehen (DE-588)4129594-8 gnd Computergrafik (DE-588)4010450-3 gnd Mustererkennung (DE-588)4040936-3 gnd |
topic_facet | Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Computer Graphics Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Computer science Artificial intelligence Computer graphics Image processing Control engineering Robotics Mechatronics Maschinelles Sehen Computergrafik Mustererkennung |
url | https://doi.org/10.1007/978-1-4757-5524-4 |
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