On the Removal of Shadows from Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shadow Resistant Road Segmentation from a Mobile Monocular System
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Entropy Minimization for Shadow Removal
International Journal of Computer Vision
Refilming with Depth-Inferred Videos
IEEE Transactions on Visualization and Computer Graphics
Tricolor attenuation model for shadow detection
IEEE Transactions on Image Processing
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Despite the strengths and popularity of the log-cromaticity space (LCS), there is still a significant amount of concern regarding its narrow-band assumption (NBA). Though not always necessary, this assumption is relatively common, as it leads to elegant formulations. We present a scheme for evaluating whether a deviation from the NBA will have an impact on the expected LCS values. We also introduce two metrics for measuring the divergence from the expected behavior under the NBA in LCS. Lastly, we empirically analyze how different types of reflectance spectra are affected in varying degrees by this assumption. For example, experiments with real and synthetic data show that the violation of the NBA typically has insignificant impact on bright unsaturated colors.