Recognition of Defocused Patterns
| 言語 | 英語 |
|---|---|
| 種類 | 論文 |
| 著者 | Masakazu Iwamura，Masashi Imura，Shinsaku Hiura，Koichi Kise |
| 論文名 | Recognition of Defocused Patterns |
| 論文誌名 | IPSJ Transactions on Computer Vision and Applicaitons (CVA) |
| Vol. | 6 |
| ページ | pp.48-52 |
| 査読の有無 | 有 |
| 年月 | 2014年7月 |
| 分野 | パターン認識, コンピュテーショナル フォトグラフィ |
| DOI | 10.2197/ipsjtcva.6.48 |
| キー | Iwamura2014_CVA (id=1404) |
要約
The paper addresses the recognition problem of defocused patterns. Though recognition algorithms assume that the input images are focused and sharp, it does not always hold on actual camera-captured images. Thus, a recognition method that can recognize defocused patterns is required. In this paper, we propose a novel recognition framework for defocused patterns, relying on a single camera without a depth sensor. The framework is based on the coded aperture which can recover a less-degraded image from a defocused image if depth is available. However, in the problem setting of “a single camera without a depth sensor, ” estimating depth is ill-posed and an assumption is required to estimate the depth. To solve the problem, we introduce a new assumption suitable for pattern recognition; templates are known. It is based on the fact that in pattern recognition, all templates must be available in advance for training. The experiments confirmed that the proposed method is fast and robust to defocus and scaling, especially for heavily defocused patterns.
関連ファイル
- …
この文献を出力
書式の定義
書式の定義の書き方
{authors} のように波括弧でフィールドを挿入します．[ ... ] で囲んだ部分は，その中のフィールドが空のとき丸ごと省略されます．使えるフィールド：
{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}