An Analysis of Image Retrieval Methods Based on Arrangements of Feature Points—Comparison Between Geometric Hashing and LLAH—

Language	Japanese
Type	Proceedings of Japanese Conferences
Authors	Masakazu Iwamura, Tomohiro Nakai, Koichi Kise
Title	An Analysis of Image Retrieval Methods Based on Arrangements of Feature Points—Comparison Between Geometric Hashing and LLAH—
Journal	Proceedings of MIRU 2007
Presentation number	IS-4-10
Pages	pp.1200-1205
Reviewed	Not reviewed
Date	July 2007
Research fields	Document Image Analysis, Document Image Retrieval
Key	`Iwamura2007_MIRU` (id=987)

Abstract

The geometric hashing (GH) is a well-known object recognition technique based on arrangement of feature points. Recently, we have proposed ``locally likely arrangement hashing (LLAH)'' which outperforms GH in both processing time and required amount of memory with little loss of retrieval accuracy. One of two objectives of the current paper is to reveal where the outstanding performance of LLAH comes from. The other objective is to discuss the robustness of LLAH against change of the picture angle which can spoil the performance.

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{authors}{authors_and}{authors_ja}{authors_ja_tight}{authors_en}{authors_en_and}{authors_tight}{first_author}{title}{title_ja}{title_en}{journal}{journal_ja}{journal_en}{book_title}{volume}{number}{series}{presen_id}{pages}{pp}{num_pages}{year}{month}{month_en}{month_short}{ym}{date}{date_ja}{date_en}{publisher}{address}{location}{review}{review_ja}{review_en}{reviewed_mark}{presen_type}{type}{type_label}{doi}{url}{key}{awards}

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@inproceedings{Iwamura2007_MIRU, author = {Iwamura, Masakazu and Nakai, Tomohiro and Kise, Koichi}, title = {An Analysis of Image Retrieval Methods Based on Arrangements of Feature Points---Comparison Between Geometric Hashing and LLAH---}, booktitle = {Proceedings of MIRU 2007}, year = 2007, month = jul, pages = {1200--1205}, note = {IS-4-10} }

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