International Journal of Computer Vision
Display of clouds taking into account multiple anisotropic scattering and sky light
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A physically-based night sky model
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Is Machine Colour Constancy Good Enough?
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
A Four-step Camera Calibration Procedure with Implicit Image Correction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Reflectance and Texture of Real-World Surfaces Authors
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
What is the Spectral Dimensionality of Illumination Functions in Outdoor Scenes?
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
IEEE Transactions on Image Processing
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
The global network of outdoor webcams: properties and applications
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
What Do the Sun and the Sky Tell Us About the Camera?
International Journal of Computer Vision
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
International Journal of Computer Vision
Dirty glass: rendering contamination on transparent surfaces
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Heliometric stereo: shape from sun position
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
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The appearance of an outdoor scene depends on a variety of factors such as viewing geometry, scene structure and reflectance (BRDF or BTF), illumination (sun, moon, stars, street lamps), atmospheric condition (clear air, fog, rain) and weathering (or aging) of materials. Over time, these factors change, altering the way a scene appears. A large set of images is required to study the entire variability in scene appearance. In this paper, we present a database of high quality registered and calibrated images of a fixed outdoor scene captured every hour for over 5 months. The dataset covers a wide range of daylight and night illumination conditions, weather conditions and seasons. We describe in detail the image acquisition and sensor calibration procedures. The images are tagged with a variety of ground truth data such as weather and illumination conditions and actual scene depths. This database has potential implications for vision, graphics, image processing and atmospheric sciences and can be a testbed for many algorithms. We describe an example application - image analysis in bad weather - and show how this method can be evaluated using the images in the database. The database is available online at http://www.cs.columbia.edu/CAVE/. The data collection is ongoing and we plan to acquire images for one year.