In this paper, we present an end-to-end system for free viewpoint video for smooth camera transitions in sport scenes. Our system consists of a network of static computer vision cameras, a storage infrastructure and an interpolation rendering module, connected with a 10 Gigabit Ethernet network. The user of the system requests a viewpath for the virtual camera and the rendering module then generates the images using a depth-aware plane sweep approach. First, the foreground and background are separated and rendered independently. The foreground is rendered using a plane-sweep approach and the obtained depth map is split up in groups of players. Each group is assigned a global depth, which is used in a second plane sweep to restrict the depth. This will reduce artifacts, such as extra limbs and ghost players. The algorithm is demonstrated on actual soccer recordings. The system is fully automatic and can work in near real-time, thus providing virtual images of high quality in a fast manner.
Wayfinding inside a virtual environment is a cognitive process during navigation. Normally the user inside the virtual environment has to rely on himself and different cues such as waypoints to improve his knowledge with regard to his surroundings. In this paper we will present our solution for the 3DUI Contest 2012: HeatMeUP, a 3DUI serious game to explore collaborative alternatives, in which a partner is responsible for providing wayfinding cues. The game is set in a multi-storey building where several fires and gas leaks occur and a firefighter has to overcome several challenges, guided by a fire chief.
In this paper we present a novel approach for tracking the movement of a user in a large indoor environment. Many studies show that natural walking in virtual environments increases the feeling of immersion by the users. However, most tracking systems suffer from a limited working area or are expensive to scale up to a reasonable size for navigation.Our system is designed to be easily scalable both in working area and number of simultaneous users using inexpensive off-the-shelf components. To accomplish this, the system determines the 6 DOF pose using passive LED strips, mounted to the ceiling, which are spatially encoded using De Bruijn codes. A camera mounted to the head of the user records these patterns. The camera can determine its own pose independently, so no restriction on the number of tracked objects is required. The system is accurate to a few millimeters in location and less than a degree in orientation. The accuracy of the tracker is furthermore independent of the size of the working area which makes it scalable to enormous installations. To provide a realistic feeling of immersion, the system is developed to be realtime and is only limited by the framerate of the camera, currently at 60Hz.
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