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What Is Around the Camera?

Georgoulis, S; Rematas, K; Ritschel, T; Fritz, M; Tuytelaars, T; Van Gool, L; (2017) What Is Around the Camera? In: 2017 IEEE International Conference on Computer Vision (ICCV). IEEE Green open access

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Abstract

How much does a single image reveal about the environment it was taken in? In this paper, we investigate how much of that information can be retrieved from a foreground object, combined with the background (i.e. the visible part of the environment). Assuming it is not perfectly diffuse, the foreground object acts as a complexly shaped and far-from-perfect mirror An additional challenge is that its appearance confounds the light coming from the environment with the unknown materials it is made of. We propose a learning-based approach to predict the environment from multiple reflectance maps that are computed from approximate surface normals. The proposed method allows us to jointly model the statistics of environments and material properties. We train our system from synthesized training data, but demonstrate its applicability to real-world data. Interestingly, our analysis shows that the information obtained from objects made out of multiple materials often is complementary and leads to better performance.

Type: Proceedings paper
Title: What Is Around the Camera?
Event: 2017 IEEE International Conference on Computer Vision (ICCV), 22-29 October 2017, Venice, Italy
ISBN-13: 978-1-5386-1032-9
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICCV.2017.553
Publisher version: https://doi.org/10.1109/ICCV.2017.553
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Lighting, Shape, Cameras, Image segmentation, Image reconstruction, Geometry, Databases
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10058894
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