Invariants for pattern recognition and classification:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific
2000
|
| Schriftenreihe: | Series in machine perception and artificial intelligence
vol. 42 |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references and index 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: | 1 Online-Ressource (xiii, 233 p.) |
| ISBN: | 128193402X 9781281934024 9789810242787 9789812791894 9810242786 9812791892 |
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Datensatz im Suchindex
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| id | DE-604.BV043074079 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:16:38Z |
| institution | BVB |
| isbn | 128193402X 9781281934024 9789810242787 9789812791894 9810242786 9812791892 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028498271 |
| oclc_num | 824359905 |
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| owner | DE-1046 DE-1047 |
| owner_facet | DE-1046 DE-1047 |
| physical | 1 Online-Ressource (xiii, 233 p.) |
| psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA |
| publishDate | 2000 |
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| publisher | World Scientific |
| 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 2000 1 Online-Ressource (xiii, 233 p.) txt rdacontent c rdamedia cr rdacarrier Series in machine perception and artificial intelligence vol. 42 Includes bibliographical references and index 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 Invariante swd Klassifikation swd Mustererkennung swd COMPUTERS / Computer Vision & Pattern Recognition bisacsh COMPUTERS / Optical Data Processing bisacsh Invariants fast Optical pattern recognition fast 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 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=514150 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Invariants for pattern recognition and classification Invariante swd Klassifikation swd Mustererkennung swd COMPUTERS / Computer Vision & Pattern Recognition bisacsh COMPUTERS / Optical Data Processing bisacsh Invariants fast Optical pattern recognition fast 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 | Invariante swd Klassifikation swd Mustererkennung swd COMPUTERS / Computer Vision & Pattern Recognition bisacsh COMPUTERS / Optical Data Processing bisacsh Invariants fast Optical pattern recognition fast Optical pattern recognition Invariants Mustererkennung (DE-588)4040936-3 gnd Klassifikation (DE-588)4030958-7 gnd Invariante (DE-588)4128781-2 gnd |
| topic_facet | Invariante Klassifikation Mustererkennung COMPUTERS / Computer Vision & Pattern Recognition COMPUTERS / Optical Data Processing Invariants Optical pattern recognition |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=514150 |
| work_keys_str_mv | AT rodriguesmarcosa invariantsforpatternrecognitionandclassification |