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Download the fantastic book titled Invariants for Pattern Recognition and Classification written by Marcos A. Rodrigues, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Invariants for Pattern Recognition and Classification", which was released on 17 June 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Invariants for Pattern Recognition and Classification by Marcos A. Rodrigues PDF

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.


Detail About Invariants for Pattern Recognition and Classification PDF

  • Author : Marcos A. Rodrigues
  • Publisher : World Scientific
  • Genre : Computers
  • Total Pages : 256 pages
  • ISBN : 9789812791894
  • PDF File Size : 10,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Invariants for Pattern Recognition and Classification

Invariants for Pattern Recognition and Classification
  • Publisher : World Scientific
  • File Size : 29,9 Mb
  • Release Date : 17 June 2024
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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

Moments and Moment Invariants in Pattern Recognition

Moments and Moment Invariants in Pattern Recognition
  • Publisher : Wiley
  • File Size : 46,6 Mb
  • Release Date : 04 November 2009
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Moments as projections of an image’s intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image normalization,

Moments and Moment Invariants in Pattern Recognition

Moments and Moment Invariants in Pattern Recognition
  • Publisher : John Wiley & Sons
  • File Size : 46,9 Mb
  • Release Date : 04 November 2009
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Moments as projections of an image’s intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image normalization,

Handbook of Pattern Recognition and Computer Vision

Handbook of Pattern Recognition and Computer Vision
  • Publisher : World Scientific
  • File Size : 38,8 Mb
  • Release Date : 17 June 2024
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Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their

Neural Information Processing

Neural Information Processing
  • Publisher : Springer Science & Business Media
  • File Size : 25,6 Mb
  • Release Date : 26 September 2006
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The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386

Pattern Recognition

Pattern Recognition
  • Publisher : Academic Press
  • File Size : 36,7 Mb
  • Release Date : 26 November 2008
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This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading

Pattern Recognition for Feature-Based and Comparative Visualization

Pattern Recognition for Feature-Based and Comparative Visualization
  • Publisher : Sudwestdeutscher Verlag Fur Hochschulschriften AG
  • File Size : 50,8 Mb
  • Release Date : 17 June 2024
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Pattern Recognition is widely spread as a basis for classification purposes. However, the common pattern recognition and classification methods are usually used on non-spatially-correlated data. For example, moment invariants are

Computer Analysis of Images and Patterns

Computer Analysis of Images and Patterns
  • Publisher : Springer
  • File Size : 55,5 Mb
  • Release Date : 08 August 2017
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The two volume set LNCS 10424 and 10425 constitutes the refereed proceedings of the 17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017, held in Ystad, Sweden, in August 2017. The 72