Date of Original Version

10-2009

Type

Conference Proceeding

Abstract or Description

Given a single outdoor image, we present a method for estimating the likely illumination conditions of the scene. In particular, we compute the probability distribution over the sun position and visibility. The method relies on a combination of weak cues that can be extracted from different portions of the image: the sky, the vertical surfaces, and the ground. While no single cue can reliably estimate illumination by itself, each one can reinforce the others to yield a more robust estimate. This is combined with a data-driven prior computed over a dataset of 6 million Internet photos. We present quantitative results on a webcam dataset with annotated sun positions, as well as qualitative results on consumer-grade photographs downloaded from Internet. Based on the estimated illumination, we show how to realistically insert synthetic 3-D objects into the scene.

DOI

10.1109/ICCV.2009.5459163

Comments

Published as Estimating the Natural Illumination Conditions from a Single Outdoor Image, International Journal on Computer Vision

Included in

Robotics Commons

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Published In

IEEE 12th International Conference on Computer Vision, 183-190.