In this paper we propose a novel method for detecting and removing shadows from a single image thereby obtaining a high-quality shadow-free image. With minimal user assistance, we first identify shadowed and lit areas on the same surface in the scene using an illumination-invariant distance measure. These areas are used to estimate the parameters of an affine shadow formation model. A novel pyr...

Figure 1: Comparison between trapezoidal shadow maps (TSMs) and subdivided shadow maps. a) TSM with 1K×1K shadow map, b) TSM with 4K×4K shadow map, and c) 1K×1K subdivided shadow map. This configuration with a small angle between the light and view directions is difficult for prior methods. Even with the largest shadow map that can be allocated on current hardware, TSMs are not able to match th...

Shadow detection and removal in various real life scenarios including surveillance system, indoor outdoor scenes, and computer vision system remained a challenging task. Shadow in traffic surveillance system may misclassify the actual object, reducing the system performance. However, shadow causes problems in computer vision applications such as segmentation, object detection and object countin...

Successfully detecting shadows in still images is challenging yet has wide applications. Shadow properties and features are very important for shadow detection and processing. The aim of this work is to find some new physical properties of shadows and use them as shadow features to design an effective shadow detection method for outdoor color images. We observe that although the spectral power ...