Multiple view geometry in computer vision /:
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms...
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| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, UK ; New York :
Cambridge University Press,
2004.
|
| Ausgabe: | Second edition. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.-- |
| Beschreibung: | 1 online resource (xvi, 655 pages) : illustrations (some color) |
| Bibliographie: | Includes bibliographical references (pages 634-645) and index. |
| ISBN: | 9780511187117 0511187114 9780511186189 0511186185 9780511188954 0511188951 9780511185359 0511185359 9780511184512 0511184514 9780511811685 0511811683 9781280458125 1280458127 |
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| 245 | 1 | 0 | |a Multiple view geometry in computer vision / |c Richard Hartley, Andrew Zisserman. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2004. | |
| 264 | 4 | |c ©2003 | |
| 300 | |a 1 online resource (xvi, 655 pages) : |b illustrations (some color) | ||
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| 347 | |a data file | ||
| 520 | |a A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.-- |c Provided by publisher. | ||
| 504 | |a Includes bibliographical references (pages 634-645) and index. | ||
| 505 | 0 | |a Introduction-a tour of multiple view geometry -- Projective geometry and transformations of 2D -- Projective geometry and transformations of 3D -- Estimation-2D projective transformations -- Algorithm evaluation and error analysis -- Camera models -- Computation of the camera matrix P -- More single view geometry -- Epipolar geometry and the fundamental matrix -- 3D reconstruction of cameras and structure -- Computation of the fundamental matrix F -- Structure computation -- Scene planes and homographies -- Affine epipolar geometry -- The trifocal tensor -- Computation of the trifocal tensor T -- N-Linearities and multiple view tensors -- N-View computational methods -- Auto-calibration -- Duality -- Cheirality -- Degenerate configurations. | |
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Computer vision. |0 http://id.loc.gov/authorities/subjects/sh85029549 | |
| 650 | 0 | |a Geometry, Projective. |0 http://id.loc.gov/authorities/subjects/sh85054157 | |
| 650 | 6 | |a Vision par ordinateur. | |
| 650 | 6 | |a Géométrie projective. | |
| 650 | 7 | |a COMPUTERS |x Computer Vision & Pattern Recognition. |2 bisacsh | |
| 650 | 7 | |a Computer vision. |2 blmlsh | |
| 650 | 7 | |a Geometry, Projective. |2 blmlsh | |
| 650 | 7 | |a Computer vision |2 fast | |
| 650 | 7 | |a Geometry, Projective |2 fast | |
| 655 | 0 | |a Electronic books. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Zisserman, Andrew, |e author. |0 http://id.loc.gov/authorities/names/n86010466 | |
| 758 | |i has work: |a Multiple view geometry in computer vision (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFVcgxDhjyMwp4tKHWrqry |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Hartley, Richard. |t Multiple view geometry in computer vision. |b 2nd ed. |d Cambridge, UK ; New York : Cambridge University Press, 2003 |z 0521540518 |w (DLC) 2004557531 |w (OCoLC)52783638 |
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| author | Hartley, Richard Zisserman, Andrew |
| author_GND | http://id.loc.gov/authorities/names/n95021053 http://id.loc.gov/authorities/names/n86010466 |
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| callnumber-subject | TA - General and Civil Engineering |
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| contents | Introduction-a tour of multiple view geometry -- Projective geometry and transformations of 2D -- Projective geometry and transformations of 3D -- Estimation-2D projective transformations -- Algorithm evaluation and error analysis -- Camera models -- Computation of the camera matrix P -- More single view geometry -- Epipolar geometry and the fundamental matrix -- 3D reconstruction of cameras and structure -- Computation of the fundamental matrix F -- Structure computation -- Scene planes and homographies -- Affine epipolar geometry -- The trifocal tensor -- Computation of the trifocal tensor T -- N-Linearities and multiple view tensors -- N-View computational methods -- Auto-calibration -- Duality -- Cheirality -- Degenerate configurations. |
| ctrlnum | (OCoLC)171123855 |
| dewey-full | 006.3/7 |
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| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/7 |
| dewey-search | 006.3/7 |
| dewey-sort | 16.3 17 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | Second edition. |
| format | Electronic eBook |
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Press,</subfield><subfield code="c">2004.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2003</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xvi, 655 pages) :</subfield><subfield code="b">illustrations (some color)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">data file</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. 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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-4-EBA-ocn171123855 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:16:08Z |
| institution | BVB |
| isbn | 9780511187117 0511187114 9780511186189 0511186185 9780511188954 0511188951 9780511185359 0511185359 9780511184512 0511184514 9780511811685 0511811683 9781280458125 1280458127 |
| language | English |
| oclc_num | 171123855 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xvi, 655 pages) : illustrations (some color) |
| psigel | ZDB-4-EBA |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Cambridge University Press, |
| record_format | marc |
| spelling | Hartley, Richard, author. http://id.loc.gov/authorities/names/n95021053 Multiple view geometry in computer vision / Richard Hartley, Andrew Zisserman. Second edition. Cambridge, UK ; New York : Cambridge University Press, 2004. ©2003 1 online resource (xvi, 655 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier data file A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.-- Provided by publisher. Includes bibliographical references (pages 634-645) and index. Introduction-a tour of multiple view geometry -- Projective geometry and transformations of 2D -- Projective geometry and transformations of 3D -- Estimation-2D projective transformations -- Algorithm evaluation and error analysis -- Camera models -- Computation of the camera matrix P -- More single view geometry -- Epipolar geometry and the fundamental matrix -- 3D reconstruction of cameras and structure -- Computation of the fundamental matrix F -- Structure computation -- Scene planes and homographies -- Affine epipolar geometry -- The trifocal tensor -- Computation of the trifocal tensor T -- N-Linearities and multiple view tensors -- N-View computational methods -- Auto-calibration -- Duality -- Cheirality -- Degenerate configurations. Print version record. Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Geometry, Projective. http://id.loc.gov/authorities/subjects/sh85054157 Vision par ordinateur. Géométrie projective. COMPUTERS Computer Vision & Pattern Recognition. bisacsh Computer vision. blmlsh Geometry, Projective. blmlsh Computer vision fast Geometry, Projective fast Electronic books. Zisserman, Andrew, author. http://id.loc.gov/authorities/names/n86010466 has work: Multiple view geometry in computer vision (Text) https://id.oclc.org/worldcat/entity/E39PCFVcgxDhjyMwp4tKHWrqry https://id.oclc.org/worldcat/ontology/hasWork Print version: Hartley, Richard. Multiple view geometry in computer vision. 2nd ed. Cambridge, UK ; New York : Cambridge University Press, 2003 0521540518 (DLC) 2004557531 (OCoLC)52783638 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=157913 Volltext |
| spellingShingle | Hartley, Richard Zisserman, Andrew Multiple view geometry in computer vision / Introduction-a tour of multiple view geometry -- Projective geometry and transformations of 2D -- Projective geometry and transformations of 3D -- Estimation-2D projective transformations -- Algorithm evaluation and error analysis -- Camera models -- Computation of the camera matrix P -- More single view geometry -- Epipolar geometry and the fundamental matrix -- 3D reconstruction of cameras and structure -- Computation of the fundamental matrix F -- Structure computation -- Scene planes and homographies -- Affine epipolar geometry -- The trifocal tensor -- Computation of the trifocal tensor T -- N-Linearities and multiple view tensors -- N-View computational methods -- Auto-calibration -- Duality -- Cheirality -- Degenerate configurations. Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Geometry, Projective. http://id.loc.gov/authorities/subjects/sh85054157 Vision par ordinateur. Géométrie projective. COMPUTERS Computer Vision & Pattern Recognition. bisacsh Computer vision. blmlsh Geometry, Projective. blmlsh Computer vision fast Geometry, Projective fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85029549 http://id.loc.gov/authorities/subjects/sh85054157 |
| title | Multiple view geometry in computer vision / |
| title_auth | Multiple view geometry in computer vision / |
| title_exact_search | Multiple view geometry in computer vision / |
| title_full | Multiple view geometry in computer vision / Richard Hartley, Andrew Zisserman. |
| title_fullStr | Multiple view geometry in computer vision / Richard Hartley, Andrew Zisserman. |
| title_full_unstemmed | Multiple view geometry in computer vision / Richard Hartley, Andrew Zisserman. |
| title_short | Multiple view geometry in computer vision / |
| title_sort | multiple view geometry in computer vision |
| topic | Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Geometry, Projective. http://id.loc.gov/authorities/subjects/sh85054157 Vision par ordinateur. Géométrie projective. COMPUTERS Computer Vision & Pattern Recognition. bisacsh Computer vision. blmlsh Geometry, Projective. blmlsh Computer vision fast Geometry, Projective fast |
| topic_facet | Computer vision. Geometry, Projective. Vision par ordinateur. Géométrie projective. COMPUTERS Computer Vision & Pattern Recognition. Computer vision Geometry, Projective Electronic books. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=157913 |
| work_keys_str_mv | AT hartleyrichard multipleviewgeometryincomputervision AT zissermanandrew multipleviewgeometryincomputervision |