Invariants for pattern recognition and classification:
"This book was conceived from the realization that there was a need to update recent work on invariants in a single volume providing a useful set of references and pointers to related work. Since the publication in 1992 of J L Mundy and A Zisserman's Geometric Invariance in Computer Vision...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2000
|
| Schriftenreihe: | Series in machine perception and artificial intelligence
vol. 42 |
| Schlagworte: | |
| Online-Zugang: | FHN01 Volltext |
| Zusammenfassung: | "This book was conceived from the realization that there was a need to update recent work on invariants in a single volume providing a useful set of references and pointers to related work. Since the publication in 1992 of J L Mundy and A Zisserman's Geometric Invariance in Computer Vision, the subject has been evolving rapidly. New approaches to invariants have been proposed and novel ways of defining and applying invariants to practical problem solving are testimony to the fundamental importance of the study of invariants to machine vision. This book represents a snapshot of current research around the world.A version of this collection of papers has appeared in the International Journal of Pattern Recognition and Artificial Intelligence (December 1999). The papers in this book are extended versions of the original material published in the journal. They are organized into two categories: foundations and applications. Foundation papers present new ways of defining or analyzing invariants, and application papers present novel ways in which known invariant theory is extended and effectively applied to real-world problems in interesting and difficult contexts. Each category contains roughly half of the papers, but there is considerable overlap. All papers carry an element of novelty and generalization that will be useful to theoreticians and practitioners alike. It is hoped that this volume will be not only useful but also inspirational to researchers in image processing, pattern recognition and computer vision at large." |
| Beschreibung: | xiii, 233 p. ill |
| ISBN: | 9789812791894 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV044635422 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 171120s2000 |||| o||u| ||||||eng d | ||
| 020 | |a 9789812791894 |9 978-981-279-189-4 | ||
| 024 | 7 | |a 10.1142/4395 |2 doi | |
| 035 | |a (ZDB-124-WOP)00004345 | ||
| 035 | |a (OCoLC)1012664337 | ||
| 035 | |a (DE-599)BVBBV044635422 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-92 | ||
| 082 | 0 | |a 006.4 |2 22 | |
| 245 | 1 | 0 | |a Invariants for pattern recognition and classification |c editor, Marcos A. Rodrigues |
| 264 | 1 | |a Singapore |b World Scientific Pub. Co. |c c2000 | |
| 300 | |a xiii, 233 p. |b ill | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Series in machine perception and artificial intelligence |v vol. 42 | |
| 520 | |a "This book was conceived from the realization that there was a need to update recent work on invariants in a single volume providing a useful set of references and pointers to related work. Since the publication in 1992 of J L Mundy and A Zisserman's Geometric Invariance in Computer Vision, the subject has been evolving rapidly. New approaches to invariants have been proposed and novel ways of defining and applying invariants to practical problem solving are testimony to the fundamental importance of the study of invariants to machine vision. This book represents a snapshot of current research around the world.A version of this collection of papers has appeared in the International Journal of Pattern Recognition and Artificial Intelligence (December 1999). The papers in this book are extended versions of the original material published in the journal. They are organized into two categories: foundations and applications. Foundation papers present new ways of defining or analyzing invariants, and application papers present novel ways in which known invariant theory is extended and effectively applied to real-world problems in interesting and difficult contexts. Each category contains roughly half of the papers, but there is considerable overlap. All papers carry an element of novelty and generalization that will be useful to theoreticians and practitioners alike. It is hoped that this volume will be not only useful but also inspirational to researchers in image processing, pattern recognition and computer vision at large." | ||
| 650 | 4 | |a Optical pattern recognition | |
| 650 | 4 | |a Invariants | |
| 650 | 0 | 7 | |a Mustererkennung |0 (DE-588)4040936-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Klassifikation |0 (DE-588)4030958-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Invariante |0 (DE-588)4128781-2 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Invariante |0 (DE-588)4128781-2 |D s |
| 689 | 0 | 1 | |a Mustererkennung |0 (DE-588)4040936-3 |D s |
| 689 | 0 | 2 | |a Klassifikation |0 (DE-588)4030958-7 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Rodrigues, Marcos A. |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9789810242787 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9810242786 |
| 856 | 4 | 0 | |u http://www.worldscientific.com/worldscibooks/10.1142/4395#t=toc |x Verlag |z URL des Erstveroeffentlichers |3 Volltext |
| 912 | |a ZDB-124-WOP | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030033394 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u http://www.worldscientific.com/worldscibooks/10.1142/4395#t=toc |l FHN01 |p ZDB-124-WOP |q FHN_PDA_WOP |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804178048437714944 |
|---|---|
| any_adam_object | |
| building | Verbundindex |
| bvnumber | BV044635422 |
| collection | ZDB-124-WOP |
| ctrlnum | (ZDB-124-WOP)00004345 (OCoLC)1012664337 (DE-599)BVBBV044635422 |
| dewey-full | 006.4 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.4 |
| dewey-search | 006.4 |
| dewey-sort | 16.4 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03456nmm a2200493zcb4500</leader><controlfield tag="001">BV044635422</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">171120s2000 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789812791894</subfield><subfield code="9">978-981-279-189-4</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1142/4395</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-124-WOP)00004345</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1012664337</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044635422</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-92</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.4</subfield><subfield code="2">22</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Invariants for pattern recognition and classification</subfield><subfield code="c">editor, Marcos A. Rodrigues</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">World Scientific Pub. Co.</subfield><subfield code="c">c2000</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xiii, 233 p.</subfield><subfield code="b">ill</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Series in machine perception and artificial intelligence</subfield><subfield code="v">vol. 42</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"This book was conceived from the realization that there was a need to update recent work on invariants in a single volume providing a useful set of references and pointers to related work. Since the publication in 1992 of J L Mundy and A Zisserman's Geometric Invariance in Computer Vision, the subject has been evolving rapidly. New approaches to invariants have been proposed and novel ways of defining and applying invariants to practical problem solving are testimony to the fundamental importance of the study of invariants to machine vision. This book represents a snapshot of current research around the world.A version of this collection of papers has appeared in the International Journal of Pattern Recognition and Artificial Intelligence (December 1999). The papers in this book are extended versions of the original material published in the journal. They are organized into two categories: foundations and applications. Foundation papers present new ways of defining or analyzing invariants, and application papers present novel ways in which known invariant theory is extended and effectively applied to real-world problems in interesting and difficult contexts. Each category contains roughly half of the papers, but there is considerable overlap. All papers carry an element of novelty and generalization that will be useful to theoreticians and practitioners alike. It is hoped that this volume will be not only useful but also inspirational to researchers in image processing, pattern recognition and computer vision at large."</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optical pattern recognition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Invariants</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mustererkennung</subfield><subfield code="0">(DE-588)4040936-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Klassifikation</subfield><subfield code="0">(DE-588)4030958-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Invariante</subfield><subfield code="0">(DE-588)4128781-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Invariante</subfield><subfield code="0">(DE-588)4128781-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Mustererkennung</subfield><subfield code="0">(DE-588)4040936-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Klassifikation</subfield><subfield code="0">(DE-588)4030958-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rodrigues, Marcos A.</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9789810242787</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9810242786</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.worldscientific.com/worldscibooks/10.1142/4395#t=toc</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveroeffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-124-WOP</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030033394</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.worldscientific.com/worldscibooks/10.1142/4395#t=toc</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-124-WOP</subfield><subfield code="q">FHN_PDA_WOP</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV044635422 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:57:46Z |
| institution | BVB |
| isbn | 9789812791894 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030033394 |
| oclc_num | 1012664337 |
| open_access_boolean | |
| owner | DE-92 |
| owner_facet | DE-92 |
| physical | xiii, 233 p. ill |
| psigel | ZDB-124-WOP ZDB-124-WOP FHN_PDA_WOP |
| publishDate | 2000 |
| publishDateSearch | 2000 |
| publishDateSort | 2000 |
| publisher | World Scientific Pub. Co. |
| record_format | marc |
| series2 | Series in machine perception and artificial intelligence |
| spelling | Invariants for pattern recognition and classification editor, Marcos A. Rodrigues Singapore World Scientific Pub. Co. c2000 xiii, 233 p. ill txt rdacontent c rdamedia cr rdacarrier Series in machine perception and artificial intelligence vol. 42 "This book was conceived from the realization that there was a need to update recent work on invariants in a single volume providing a useful set of references and pointers to related work. Since the publication in 1992 of J L Mundy and A Zisserman's Geometric Invariance in Computer Vision, the subject has been evolving rapidly. New approaches to invariants have been proposed and novel ways of defining and applying invariants to practical problem solving are testimony to the fundamental importance of the study of invariants to machine vision. This book represents a snapshot of current research around the world.A version of this collection of papers has appeared in the International Journal of Pattern Recognition and Artificial Intelligence (December 1999). The papers in this book are extended versions of the original material published in the journal. They are organized into two categories: foundations and applications. Foundation papers present new ways of defining or analyzing invariants, and application papers present novel ways in which known invariant theory is extended and effectively applied to real-world problems in interesting and difficult contexts. Each category contains roughly half of the papers, but there is considerable overlap. All papers carry an element of novelty and generalization that will be useful to theoreticians and practitioners alike. It is hoped that this volume will be not only useful but also inspirational to researchers in image processing, pattern recognition and computer vision at large." Optical pattern recognition Invariants Mustererkennung (DE-588)4040936-3 gnd rswk-swf Klassifikation (DE-588)4030958-7 gnd rswk-swf Invariante (DE-588)4128781-2 gnd rswk-swf Invariante (DE-588)4128781-2 s Mustererkennung (DE-588)4040936-3 s Klassifikation (DE-588)4030958-7 s 1\p DE-604 Rodrigues, Marcos A. Sonstige oth Erscheint auch als Druck-Ausgabe 9789810242787 Erscheint auch als Druck-Ausgabe 9810242786 http://www.worldscientific.com/worldscibooks/10.1142/4395#t=toc Verlag URL des Erstveroeffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Invariants for pattern recognition and classification Optical pattern recognition Invariants Mustererkennung (DE-588)4040936-3 gnd Klassifikation (DE-588)4030958-7 gnd Invariante (DE-588)4128781-2 gnd |
| subject_GND | (DE-588)4040936-3 (DE-588)4030958-7 (DE-588)4128781-2 |
| title | Invariants for pattern recognition and classification |
| title_auth | Invariants for pattern recognition and classification |
| title_exact_search | Invariants for pattern recognition and classification |
| title_full | Invariants for pattern recognition and classification editor, Marcos A. Rodrigues |
| title_fullStr | Invariants for pattern recognition and classification editor, Marcos A. Rodrigues |
| title_full_unstemmed | Invariants for pattern recognition and classification editor, Marcos A. Rodrigues |
| title_short | Invariants for pattern recognition and classification |
| title_sort | invariants for pattern recognition and classification |
| topic | Optical pattern recognition Invariants Mustererkennung (DE-588)4040936-3 gnd Klassifikation (DE-588)4030958-7 gnd Invariante (DE-588)4128781-2 gnd |
| topic_facet | Optical pattern recognition Invariants Mustererkennung Klassifikation Invariante |
| url | http://www.worldscientific.com/worldscibooks/10.1142/4395#t=toc |
| work_keys_str_mv | AT rodriguesmarcosa invariantsforpatternrecognitionandclassification |