書誌事項
- タイトル別名
-
- A Fast and Robust Image Matching for Illumination Variation using Stable Pixel Template based on Co-occurrence Analysis
- ノウド キョウキブンセキ ニ モトズク アンテイガソ テンプレート オ モチイタ ショウメイ ヘンドウ ニ ロバスト ナ コウソク ガゾウ ショウゴウ
この論文をさがす
抄録
In this paper, we propose a high-speed part recognition method that can be practically used even in cases of drastic illumination variation. Our method selects a small number of distinctive and stable pixels in template images by analyzing spatial and temporal co-occurrence probabilities; these pixels are used in the matching process. Reduced pixels enable matching to be speeded up and stable pixels guarantee robustness against varying degrees of illumination. In addition, the proposed method optimizes the pixel selection criteria dynamically so they can be utilized under long-term illumination changes. It has been demonstrated that our system achieves a 97.6% recognition success rate through an experiment with 24120 test images that included drastic illumination variation, such as that occurring when the sun sets on a clear day. We proved that recognition success rate of the proposed method is approximately 30% higher than our previous work (CPTM) which using only of spatial co-occurrence.
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 (5), 1010-1016, 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
- 1390001204608735488
-
- NII論文ID
- 10031166983
-
- NII書誌ID
- AN10065950
-
- ISSN
- 13488155
- 03854221
-
- NDL書誌ID
- 024671359
-
- 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