A Variational Framework for Retinex
International Journal of Computer Vision
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Combining color and geometry for the active, visual recognition of shadows
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Detecting Moving Shadows: Algorithms and Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Objects, Shadows and Ghosts in Video Streams by Exploiting Color and Motion Information
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Cast shadow segmentation using invariant color features
Computer Vision and Image Understanding
Moving Cast Shadow Detection from a Gaussian Mixture Shadow Model
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A Bayesian Approach for Shadow Extraction from a Single Image
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Shadow Flow: A Recursive Method to Learn Moving Cast Shadows
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
A Dynamic Conditional Random Field Model for Foreground and Shadow Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical shadow detection for color aerial images
Computer Vision and Image Understanding
Shadow Removal from a Single Image
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
A first-order analysis of lighting, shading, and shadows
ACM Transactions on Graphics (TOG)
Shadow detection for moving objects based on texture analysis
Pattern Recognition
ACM Transactions on Graphics (TOG)
Shadow identification and classification using invariant color models
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
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
Shadow removal in sole outdoor image
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Detection of moving cast shadows for object segmentation
IEEE Transactions on Multimedia
Physical models for moving shadow and object detection in video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting ground shadows in outdoor consumer photographs
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Estimating the Natural Illumination Conditions from a Single Outdoor Image
International Journal of Computer Vision
The narrow-band assumption in log-chromaticity space
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
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Shadows, the common phenomena in most outdoor scenes, bring many problems in image processing and computer vision. In this paper, we present a novel method focusing on extracting shadows from a single outdoor image. The proposed tricolor attenuation model (TAM) that describe the attenuation relationship between shadowand its nonshadowbackground is derived based on image formation theory. The parameters of the TAMare fixed by using the spectral power distribution (SPD) of daylight and skylight, which are estimated according to Planck's blackbody irradiance law. Based on the TAM, a multistep shadow detection algorithm is proposed to extract shadows. Compared with previous methods, the algorithm can be applied to process single images gotten in real complex scenes without prior knowledge. The experimental results validate the performance of the model.