The variational approach to shape from shading
Computer Vision, Graphics, and Image Processing
Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
International Journal of Computer Vision
Surface Reflection: Physical and Geometrical Perspectives
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color Reflectance Modeling Using a Polychromatic Laser Range Sensor
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Color
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Radioptimization: goal based rendering
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Estimating the parameters of an illumination model using photometric stereo
Graphical Models and Image Processing
Object shape and reflectance modeling from observation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Inverse global illumination: recovering reflectance models of real scenes from photographs
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
A signal-processing framework for inverse rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Robot Vision
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Acquiring a Radiance Distribution to Superimpose Virtual Objects onto a Real Scene
IEEE Transactions on Visualization and Computer Graphics
Estimating Reflection Parameters from a Single Color Image
IEEE Computer Graphics and Applications
Reflectance function estimation and shape recovery from image sequence of a rotating object
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ACM SIGGRAPH 2004 Papers
Hierarchical shadow detection for color aerial images
Computer Vision and Image Understanding
Camera calibration and light source orientation from solar shadows
Computer Vision and Image Understanding
Mixture of Spherical Distributions for Single-View Relighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of multiple directional illuminants from a single image
Image and Vision Computing
Photometric inconsistency on a mixed-reality face
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
A Robust Video-Based Algorithm for Detecting Snow Movement in Traffic Scenes
Journal of Signal Processing Systems
Difference sphere: An approach to near light source estimation
Computer Vision and Image Understanding
Hierarchical shadow detection for color aerial images
Computer Vision and Image Understanding
Camera calibration and geo-location estimation from two shadow trajectories
Computer Vision and Image Understanding
Detecting ground shadows in outdoor consumer photographs
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Rendering synthetic objects into legacy photographs
Proceedings of the 2011 SIGGRAPH Asia Conference
Shadow removal in sole outdoor image
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Shadow removal in gradient domain
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
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
Estimating shadows with the bright channel cue
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Exposing photo manipulation with inconsistent shadows
ACM Transactions on Graphics (TOG)
An optimisation approach to the recovery of reflection parameters from a single hyperspectral image
Computer Vision and Image Understanding
Camera Spectral Sensitivity and White Balance Estimation from Sky Images
International Journal of Computer Vision
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In this paper, we introduce a method for recovering an illumination distribution of a scene from image brightness inside shadows cast by an object of known shape in the scene. In a natural illumination condition, a scene includes both direct and indirect illumination distributed in a complex way, and it is often difficult to recover an illumination distribution from image brightness observed on an object surface. The main reason for this difficulty is that there is usually not adequate variation in the image brightness observed on the object surface to reflect the subtle characteristics of the entire illumination. In this study, we demonstrate the effectiveness of using occluding information of incoming light in estimating an illumination distribution of a scene. Shadows in a real scene are caused by the occlusion of incoming light and, thus, analyzing the relationships between the image brightness and the occlusions of incoming light enables us to reliably estimate an illumination distribution of a scene even in a complex illumination environment. This study further concerns the following two issues that need to be addressed. First, the method combines the illumination analysis with an estimation of the reflectance properties of a shadow surface. This makes the method applicable to the case where reflectance properties of a surface are not known a priori and enlarges the variety of images applicable to the method. Second, we introduce an adaptive sampling framework for efficient estimation of illumination distribution. Using this framework, we are able to avoid a unnecessarily dense sampling of the illumination and can estimate the entire illumination distribution more efficiently with a smaller number of sampling directions of the illumination distribution. To demonstrate the effectiveness of the proposed method, we have successfully tested the proposed method by using sets of real images taken in natural illumination conditions with different surface materials of shadow regions.