Low Quality Face Image Recognition Using Learning-Based Feature Transform
Project/Area Number |
23700219
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Perception information processing/Intelligent robotics
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Research Institution | Gifu Shotoku Gakuen University |
Principal Investigator |
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Project Period (FY) |
2011-04-28 – 2015-03-31
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Project Status |
Completed (Fiscal Year 2014)
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Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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Keywords | 画像、文章、音声等認識 / 機械学習 / アルゴリズム / 画像、文章、音声認識 |
Outline of Final Research Achievements |
To achieve accurate person identification from low quality face images and person images taken by a surveillance camera, we have developed five methods; a face pose transformation method a face image super-resolution method, a transformation method from far-infrared face image to visible light face image, a baggage detection method from person image, and a person image super-resolution method. We confirmed through experiments on actual face images and person images that each developed method works effectively for accurate person identification from low quality face images and person images
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Report
(5 results)
Research Products
(42 results)
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[Presentation] 複数視点から撮影された人物の手荷物所持判定2014
Author(s)
浅井 康博, 西堀 研人, 高橋 友和, 出口 大輔, 井手 一郎, 村瀬 洋
Organizer
第17回画像の認識・理解シンポジウム
Place of Presentation
岡山コンベンションセンター
Year and Date
2014-07-28 – 2014-07-31
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