A Shape Matching Method Considering Computational Feasibility-Reference-Cited by-同舟云学术

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A Shape Matching Method Considering Computational Feasibility

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Signal Processing and Machine Learning - SPML '18
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Author:

Yamamoto Hiroki¹,Iwata Kazunori¹,Suematsu Nobuo¹,Mimura Kazushi¹

Affiliation:

1. Hiroshima City University, Hiroshima, Japan

Publisher

ACM Press

Reference10 articles.

1. Serge Belongie, Greg Mori, and Jitendra Malik. 2006. Matching with Shape Contexts. In Statistics and Analysis of Shapes, Hamid Krim and Anthony Yezzi Jr. (Eds.). Birkhäuser, Boston, 81--105.

2. Jens Clausen. 1999. Branch and Bound Algorithms -- Principles and Examples. Retrieved December 8, 2018 from https://imada.sdu.dk/~jbj/heuristikker/TSPtext.pdf

3. Consumer Affairs Agency, Government of Japan. 2018. Washing Tag Symbols: After November 30, 2016. http://www.caa.go.jp/policies/policy/representation/ household_goods/guide/wash_01.html.

4. Consumer Affairs Agency, Government of Japan. 2018. Washing Tag Symbols: Before November 30, 2016. http://www.caa.go.jp/policies/policy/ representation/household_goods/guide/wash.html.

5. Huijie Fan, Yang Cong, and Yandong Tang. 2012. Self-closed partial shape descriptor for shape retrieval. In Proceedings of the 19th IEEE International Conference on Image Processing. IEEE Signal Processing Society, IEEE, Orlando, FL, 505--508.

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