Estimating Natural Illumination
from a Single Outdoor Image

Teaser
From a single image (left), we estimate the most likely sky appearance (middle) and insert a 3-D object (right). Illumination estimation was done entirely automatically.

People

Abstract

Sun dial
Virtual sun dial
Sun probability map
Sun position probability

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, the ground, and the convex objects in the image. 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 photos. We present quantitative results on a webcam dataset with annotated sun positions, as well as quantitative and 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, and how to transfer appearance across images while keeping the illumination consistent.

Citation - IJCV 2012

Paper thumbnail Jean-François Lalonde, Alexei A. Efros, and Srinivasa G. Narasimhan. Estimating the Natural Illumination Conditions from a Single Outdoor Image, International Journal on Computer Vision, 98(2):123-145, 2012. [PDF pre-print] [BibTeX]

Citation - ICCV 2009

Paper thumbnail Jean-François Lalonde, Alexei A. Efros, and Srinivasa G. Narasimhan. Estimating Natural Illumination from a Single Outdoor Image, International Conference on Computer Vision, 2009. [PDF] [BibTeX]

Poster - ICCP 2011

Paper thumbnail Jean-François Lalonde, Alexei A. Efros, and Srinivasa G. Narasimhan. Estimating Natural Illumination from a Single Outdoor Image, poster in International Conference on Computational Photography, 2011. [PDF]

Talk

Download the slides from the talk given at ICCV 2009 in the following formats:

Dataset

You can download a subset of 391 webcam images that were used in the quantitative evaluation of the ICCV 2009 paper. You can also download the dataset of 239 single images that were used in the quantitative evaluation of the IJCV 2012 paper.

Code

Download the code for the IJCV 2012 paper in a ZIP file, or get it from github.

Funding

This research is supported by:

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