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Artificial Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Robust recovery of multiple light source based on local light source constant constraint
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IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixture of Spherical Distributions for Single-View Relighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Separating corneal reflections for illumination estimation
Neurocomputing
Estimation of multiple directional illuminants from a single image
Image and Vision Computing
Recovering surface reflectance and multiple light locations and intensities from image data
Pattern Recognition Letters
Recovering Light Directions and Camera Poses from a Single Sphere
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Difference sphere: An approach to near light source estimation
Computer Vision and Image Understanding
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Measuring the perception of light inconsistencies
Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
Estimating illumination parameters in real space with application to image relighting
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
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Computer Vision and Image Understanding
Components for bidirectional augmented broadcasting services on smart TVs
Multimedia Tools and Applications
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In the early 1980s, Pentland observed that the human's eye is sensitive to the change of intensities. On an image of a smooth surface, the change of intensities is maximal whenever the illuminant direction is perpendicular to the normal of the surface. This motivates us to introduce the concept of critical points, where the surface normal is perpendicular to some light source direction. Apparently, the illuminant direction has a simple geometric relationship with the corresponding critical points. In this paper, for simplicity reasons, we restrict our discussions to the shading of a Lambertian sphere of known size in a multiple distant light source environment. A novel global representation of the intensity function is derived. Based on this intensity characterization, the least-squares and iteration techniques are used to determine critical points and, thus, the light source directions and their intensities if certain conditions are satisfied. The performance of this new approach is evaluated using both synthetic images and real images. As an application, we use it as a tool to determine light sources in real image synthesis. The experimental results show that this technique can be used to superimpose synthetic objects with a real scene.