This project develops new image processing techniques for the emerging field of 3D television. On the basis of two videos that are recorded by slightly displaced cameras, we aim to extract (1) the opacity values of individual pixels, (2) a depth reconstruction of the scene and (3) the temporal relationship between the images of a sequence. The computed information can serve as the input for an autostereoscopic display that uses these results to provide the user with temporal-smooth depth impression. Moreover, our results may offer the exciting possibility to realize free-viewpoint video where the user has control over a virtual camera and can select the preferred viewpoint. To suit the needs of these applications, our focus lies on generating results of high quality that outperform the current state of the art. Due to addressing the image matting problem, we will also be able to handle fuzzy and hairy objects that are traditionally difficult in image processing.