ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cast shadow segmentation using invariant color features
Computer Vision and Image Understanding
Segmentation of soft shadows based on a daylight- and penumbra model
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Using real shadows to create virtual ones
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
A Binarization Algorithm Based on Shade-Planes for Road Marking Recognition
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Shadow Detection in Dynamic Scenes Using Dense Stereo Information and an Outdoor Illumination Model
Dyn3D '09 Proceedings of the DAGM 2009 Workshop on Dynamic 3D Imaging
Interactive shadow removal from a single image using hierarchical graph cut
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
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This paper introduces a new concept within shadow segmentation for usage in shadow removal and augmentation through construction of a multiplicity alpha overlay shadow model. Previously, an image was considered to consist of shadow and non-shadow regions. This makes it difficult to seamlessly remove shadows and insert augmented shadows that overlap real shadows. We construct a model that accounts for sunlit, umbra and penumbra regions by estimating the degree of shadow. The model is based on theories about color constancy, daylight, and the geometry that causes penumbra. A graph cut energy minimization is applied to estimate the alpha parameter. Overlapping shadow augmentation and removal is also demonstrated. The approach is demonstrated on natural complex image situations. The results are convincing, and the quality of augmented shadows overlapping real shadows and removed shadows depends on the quality of the estimated alpha gradient in penumbra.