Graphics Recognition: New Trends and Challenges
Author:   Young-Bin Kwon ,  Jean-Marc Ogier
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2013 ed.
Volume:   7423
ISBN:  

9783642368233


Pages:   275
Publication Date:   10 February 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Graphics Recognition: New Trends and Challenges


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Overview

This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Workshop on Graphics Recognition (GREC 2011), held in Seoul, Korea, September 15-16, 2011. The 25 revised full papers presented were carefully selected from numerous submissions. Graphics recognition is a subfield of document image analysis that deals with graphical entities in engineering drawings, sketches, maps, architectural plans, musical scores, mathematical notation, tables, and diagrams. Accordingly the conference papers are organized in 5 technical sessions, covering the topics such as map and ancient documents, symbol and logo recognition, sketch and drawings, performance evaluation and challenge processing.

Full Product Details

Author:   Young-Bin Kwon ,  Jean-Marc Ogier
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2013 ed.
Volume:   7423
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642368233


ISBN 10:   3642368239
Pages:   275
Publication Date:   10 February 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

A Region-Based Method for Sketch Map Segmentation.- Ancient Documents Denoising and Decomposition Using Aujol and Chambolle Algorithm.- Efficient and Robust Graphics Recognition from Historical Maps.- On the Use of Geometric Matching for Both: Isolated Symbol Recognition and Symbol Spotting.- Notation-Invariant Patch-Based Wall Detector in Architectural Floor Plans.- A Recognition System for Online Handwritten Tibetan Characters.- Unified Representation of Online and Offline Hand Drawn Graphics Using Bezier Curve Approximation.- A Scoring Model for Clothes Matching Using Color Harmony and Texture Analysis.

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