Abstract. Due to the demand for depth maps of higher quality than possible with a single depth imaging technique today, there has been an increasing interest in the combination of different depth sensors to produce a "super-camera" that is more than the sum of the individual parts. In this survey paper, we give an overview over methods for the fusion of Time-of-Flight (ToF) and passive stereo data as well as applications of the resulting high quality depth maps. Additionally, we provide a tutorial-based introduction to the principles behind ToF stereo fusion and the evaluation criteria used to benchmark these methods.

We present a detailed blueprint of our stereoscopic freeviewpoint video system.Using unsynchronized footage as input, we can render virtual camera paths in the post-production stage.The movement of the virtual camera also extends to the temporal domain, so that slow-motion and freeze-and-rotate shots are possible. As a proof-of-concept, a full length stereoscopic HD music video has been produced using our approach.

High-quality dense image correspondence estimation between two images is an essential prerequisite for many tasks in visual media production, one prominent example being view interpolation. Due to the ill-posed nature of the correspondence estimation problem, errors occur frequently for a number of problematic conditions, among them occlusions, large displacements and low-textured regions. In this paper, we propose to use approximate depth data from low-resolution depth sensors or coarse geometric proxies to guide the high-resolution image correspondence estimation. We counteract the effect of uncertainty in the prior by exploiting the coarse-tofine image pyramid used in our estimation algorithm. Our results show that even with only approximate priors, visual quality improves considerably compared to an unguided algorithm or a pure depth-based interpolation.

Finding dense correspondences between two images is a well-researched but still unsolved problem. For various tasks in computer graphics, e.g.image interpolation, obtaining plausible correspondences is a vital component. We present an interactive tool that allows the user to modify and correct dense correspondence maps between two given images. Incorporating state-of-the art algorithms in image segmentation, correspondence estimation and optical flow, our tool assists the user in selecting and correcting mismatched correspondences.

We introduce the Kinect as a tool for capturing gas flows around occluders using objects of different aerodynamic properties. Previous approaches have been invasive or require elaborate setups including large printed sheets of complex noise patterns and neat lighting. Our method is easier to set up while still producing good results. We show that three Kinects are sufficient to qualitatively reconstruct nonstationary time varying gas flows in the presence of occluders.