دورية أكاديمية

Reflectance and Shape Estimation with a Light Field Camera Under Natural Illumination.

التفاصيل البيبلوغرافية
العنوان: Reflectance and Shape Estimation with a Light Field Camera Under Natural Illumination.
المؤلفون: Ngo, Thanh-Trung, Nagahara, Hajime, Nishino, Ko, Taniguchi, Rin-ichiro, Yagi, Yasushi
المصدر: International Journal of Computer Vision; Dec2019, Vol. 127 Issue 11/12, p1707-1722, 16p, 7 Color Photographs, 1 Diagram, 4 Graphs
مصطلحات موضوعية: LIGHT-field cameras, REFLECTANCE, COMPUTER vision, LIGHTING, VISUAL fields
مستخلص: 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 positive results in both simulation and real-world experiments. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:09205691
DOI:10.1007/s11263-019-01149-5