書誌事項
- タイトル別名
-
- A Robust Matching Method for Low-textured Image based on Co-occurrence Probability of Geometry-Optimized Pixel Patterns
- サイテキ ハイチ サレタ ガソグン ノ ノウド キョウキハッセイ カクリツ ニ チャクモク シタ ガゾウ ノ テクスチャリョウ ニ ロバスト ナ ショウゴウ シュホウ
この論文をさがす
抄録
In this paper, we propose a template matching algorithm which is applicable for low-textured image like a range image. As for high-speed template matching, the Co-occurrence Probability-based Template Matching (CPTM) is a useful and effective method. This method uses some sets of selected pixel patterns that have relatively low occurrence probability in a template image. By using such a small number of distinctive data, reliable matching has been achieved in addition to high-speed processing. However, this method has a problem that extraction of distinctive pixels will be difficult when distribution of occurrence probability is uniform, for example, it is frequently appeared in range image. We improve the CPTM method for dealing with this problem. A key idea is to optimize geometric pixel relation in the pixel pattern when the proposed method calculates occurrence probability of pixel patterns. Experimental results have confirmed that the proposed method increase the detection rate from 73% to 90% without sacrificing its ability of high-speed. It means that performance of our method is prior to other conventional methods.
収録刊行物
-
- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
-
電気学会論文誌Ｃ（電子・情報・システム部門誌） 133 (10), 1943-1949, 2013
一般社団法人 電気学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390001204609183872
-
- NII論文ID
- 10031200984
-
- NII書誌ID
- AN10065950
-
- ISSN
- 13488155
- 03854221
-
- NDL書誌ID
- 024946670
-
- 本文言語コード
- ja
-
- データソース種別
-
- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
-
- 抄録ライセンスフラグ
- 使用不可