Reflectance and shape estimation with a light field camera under natural illumination

Thanh Trung Ngo, Hajime Nagahara, Ko Nishino, Rin Ichiro Taniguchi, Yasushi Yagi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 simulation and real-world experiments.

Original languageEnglish
Title of host publicationBritish Machine Vision Conference 2017, BMVC 2017
PublisherBMVA Press
ISBN (Electronic)190172560X, 9781901725605
Publication statusPublished - Jan 1 2017
Event28th British Machine Vision Conference, BMVC 2017 - London, United Kingdom
Duration: Sept 4 2017Sept 7 2017

Publication series

NameBritish Machine Vision Conference 2017, BMVC 2017


Conference28th British Machine Vision Conference, BMVC 2017
Country/TerritoryUnited Kingdom

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition


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