Reflectance and Shape Estimation with a Light Field Camera under Natural Illumination

• Item type: SIG Technical Reports(1)
• 公開日: 2017-11-01
• タイトル: Reflectance and Shape Estimation with a Light Field Camera under Natural Illumination
• タイトル / 言語: en
• タイトル: Reflectance and Shape Estimation with a Light Field Camera under Natural Illumination
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: テーマセッション2
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: The Institute of Scientific and Industrial Research Osaka University
• 著者所属: Institute for Datability Science Osaka University
• 著者所属: Department of Computer Science Drexel University
• 著者所属: Graduate School of Information Science and Electrical Engineering Kyushu University
• 著者所属: The Institute of Scientific and Industrial Research Osaka University
• 著者所属(英): en
• 著者所属(英): The Institute of Scientific and Industrial Research Osaka University
• 著者所属(英): en
• 著者所属(英): Institute for Datability Science Osaka University
• 著者所属(英): en
• 著者所属(英): Department of Computer Science Drexel University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Electrical Engineering Kyushu University
• 著者所属(英): en
• 著者所属(英): The Institute of Scientific and Industrial Research Osaka University
• 著者名: Thanh, Trung Ngo; Hajime, Nagahara; Ko, Nishino; Rin-ichiro, Taniguchi; Yasushi, Yagi
• 著者名(英): Thanh, Trung Ngo; Hajime, Nagahara; Ko, Nishino; Rin-ichiro, Taniguchi; Yasushi, Yagi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Reflectance and shape are two important components in visually perceiving the real world. Inferring the reflectance and shape of an object through cameras is a fundamental research topic in the field of computer vision. While three-dimensional shape recovery is pervasive with varieties of approaches and practical applications, reflectance recovery has only emerged recently. Reflectance recovery is a challenging task that is usually conducted in controlled environments, such as a laboratory environment with a special apparatus. However, it is desirable that the reflectance be recovered in the field with a handy camera so that reflectance can be jointly recovered with the shape. To that end, we present a solution that simultaneously recovers the reflectance and shape (i.e., dense depth and normal maps) of an object under natural illumination with commercially available handy cameras. We employ a light field camera to capture one light field image of the object, and a 360-degree camera to capture the illumination. The proposed method provides promising results in real-world experiments.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Reflectance and shape are two important components in visually perceiving the real world. Inferring the reflectance and shape of an object through cameras is a fundamental research topic in the field of computer vision. While three-dimensional shape recovery is pervasive with varieties of approaches and practical applications, reflectance recovery has only emerged recently. Reflectance recovery is a challenging task that is usually conducted in controlled environments, such as a laboratory environment with a special apparatus. However, it is desirable that the reflectance be recovered in the field with a handy camera so that reflectance can be jointly recovered with the shape. To that end, we present a solution that simultaneously recovers the reflectance and shape (i.e., dense depth and normal maps) of an object under natural illumination with commercially available handy cameras. We employ a light field camera to capture one light field image of the object, and a 360-degree camera to capture the illumination. The proposed method provides promising results in real-world experiments.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12628338
• 書誌情報: 研究報告デジタルコンテンツクリエーション（DCC）; 巻 2017-DCC-17, 号 20, p. 1-6, 発行日 2017-11-01
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8868
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会