An effective graph and depth layer based RGB-D image foreground object extraction method

We consider the extraction of accurate silhouettes of foreground objects in combined color image and depth map data. This is of relevance for applications such as altering the contents of a scene, or changing the depths of contents for display purposes in 3DTV, object detection, or scene understanding. To identify foreground objects and their silhouettes in a scene, it is necessary to segment the image in order to distinguish foreground regions from the rest of the image, the background. In general, image data properties such as noise, color similarity, or lightness make it difficult to obtain satisfactory segmentation results. Depth provides an additional category of properties.