IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixture of Spherical Distributions for Single-View Relighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
A unified framework for scene illuminant estimation
Image and Vision Computing
Retrieving multiple light sources in the presence of specular reflections and texture
Computer Vision and Image Understanding
Recovering Light Directions and Camera Poses from a Single Sphere
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Robust point matching in HDRI through estimation of illumination distribution
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Interactive rembrandt lighting design
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Estimating the Natural Illumination Conditions from a Single Outdoor Image
International Journal of Computer Vision
Sparse lumigraph relighting by illumination and reflectance estimation from multi-view images
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Camera and light calibration from reflections on a sphere
Computer Vision and Image Understanding
Basis image decomposition of outdoor time-lapse videos
The Visual Computer: International Journal of Computer Graphics
Camera Spectral Sensitivity and White Balance Estimation from Sky Images
International Journal of Computer Vision
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In this paper, we present a method that integrates cuesfrom shading, shadow and specular reflections for estimatingdirectional illumination in a textured scene. Textureposes a problem for lighting estimation, since texture edgescan be mistaken for changes in illumination condition, andunknown variations in albedo make reflectance model fittinginpractical. Unlike previous works which all assumeknown or uniform reflectance, our method can deal with theeffects of textures by capitalizing on physical consistenciesthat exist among the lighting cues. Since scene textures donot exhibit such coherence, we use this property to minimizethe influence of texture on illumination direction estimation.For the recovered light source directions, a technique forestimating their intensities in the presence of texture is alsoproposed.