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Overview. Today, most commercially available 3D display systems require the viewers to wear some sort of shutter-or polarization glasses, which is often regarded as inconvenience. Ideally, a 3D display system should not require the users to wear additional gear. In fact, the optimum would be a display that replicates the original light-field of a scene. So-called multiview aütostereoscopic displays (MADs) represent a step in this direction, as they are able to project several views of a scene simultaneously, enabling a glasses-free 3D experience and a limited motion parallax effect in horizontal direction.

Over the last couple of years, multiview autostereoscopic displays (MADs) have become commercially available which enable a limited glasses-free 3D experience. The main problem of MADs is that they require several (typically 8 or 9) views, while most of the 3D video content is in stereoscopic 3D (S3D) today. In order to bridge this gap, the research community started to devise automatic multiview synthesis (MVS) methods. These algorithms require real-time processing and should be portable to end-user devices to develop their full potential. In this paper, we present a complete hardware system for fully automatic MVS. We give an overview of the algorithmic flow and corresponding hardware architecture, and provide implementation results of a hybrid FPGA/ASIC prototype — which is the first complete hardware system implementing image-domain-warping-based MVS. The proposed hardware IP could be used as a co-processor in a system-on-chip (SoC) targeting 3D TV sets, thereby enabling efficient content generation in real-time.

Many video processing algorithms are formulated as least-squares problems that result in large, sparse linear systems. Solving such systems in real time is very demanding. This paper focuses on reducing the computational complexity of a direct Cholesky-decomposition-based solver. Our approximation scheme builds on the observation that, in well-conditioned problems, many elements in the decomposition nearly vanish. Such elements may be pruned from the dependency graph with mild accuracy degradation. Using an example from image-domain warping, we show that pruning reduces the amount of operations per solve by over 75%, resulting in significant savings in computing time, area or energy.

International audience; This paper outlines the objectives of the working group on developing a model Augmented Reality curriculum for higher education. We motivate the need for the model curriculum by the growing Augmented Reality industry and subsequent demand for trained professionals. While the industry is growing, the educational offers that train the required skills remain limited and fragmented. The working group will address this challenge by surveying the state of the art in Augmented Reality education are reviewing available data on industry requirements. Based on the results, the group will develop a new model Augmented Reality curriculum. The working group will also develop future work recommendations for the design of teaching materials and integration of Augmented Reality in computing curricula.