Ever since the release of Avatar, stereo video has gained significant attention not just in the field of computer vision. As more and more feature films exploit the illusion of depth, we propose a minimally intrusive, non-parametric and fully automated pipeline to extend the dynamic range of stereo video. Shot using two cameras, we argue that stereoscopy is an ideal candidate for high dynamic range imaging and present a novel workflow that preserves significantly more details and color in 3D video. By combining an improved stereo matching algorithm for differently exposed video frames with...