| Editing the Illumination information in the image is one fundamental problem in image processing.Illumination reconstruction and editing of the real image is a key technology in image processing and editing,and has become a hot topic research in computer graphics and computer vision.For example,in 3D object compositing,to produce realistic results,the illumination should be considered dedicatedly,which is now widely applied in the augmented reality.To remove and edit the shadow,the illumination on the shadow regions should be recovered.In addition,illumination reconstruction estimation is also important in image relighting.In this paper,we exploit the problem of animating the illumination in a single still image using the scene structure estimation,and we synthesize realistic images with the changing illumination conditions.Editing the Illumination information in the image is one fundamental problem in image processing.In this paper,by estimating the scene structure,we propose a novel method to animate the illumination of the input single image.We first estimate the depth map of the input image by incorporating user interaction into the probabilistic inference model.Then we present a depth-aware intrinsic images decomposition method,which decomposes the image into specular shading,diffuse shading and albedo.Combining the depth maps and shading maps,we develop a rendering-based optimization model to effectively estimate the positions and colors of multiple lights in a scene.With the estimated scene structure,including the depth map,reflectance,shading,as well as light positions and colors,we can animate and edit the illumination of the image via re-rendering the original image by changing the light configuration.Our method can effectively process image with complex shadow,multiple lights and specular spots.We have shown a variety of examples,including both indoor and outdoor environment to validate the effectiveness of the proposed method. |
