Towards Anywhere Augmentation

Copyright c ○ 2007 b

Groundcam: A tracking modality for mobile mixed reality

Anywhere Augmentation pursues the goal of lowering the initial investment of time and money necessary to participate in mixed reality work, bridging the gap between researchers in the field and regular computer users. Our paper contributes to this goal by introducing the GroundCam, a cheap tracking modality with no significant setup necessary. By itself, the GroundCam provides high frequency, high resolution relative position information similar to an inertial navigation system, but with significantly less drift. When coupled with a wide area tracking modality via a complementary kalman filter, the hybrid tracker becomes a powerful base for indoor and outdoor mobile mixed reality work

Online Submission ID: Image-space correction of AR registration errors using graphics hardware

Figure 1: Left pair: An input set of polygons, and the corrected result. Note the modeling corrections around the perimeter of the model. Right pair: Another input set of polygons, and the corrected result. Because of the weaker intensity edges, smoothing is enabled. Many Mixed Reality applications rely on drawing virtual imagery directly on top of physical objects in a video scene. Registration accuracy is a serious problem in these cases since any imprecisions are immediately apparent as virtual and physical edges and features coincide. We present a hardware-accelerated image-based post-processing technique that adjusts rendering of virtual geometry to better match edges present in images of a physical scene, reducing the visual effect of registration errors from both inaccurate tracking and oversimplified modeling. We detect intensity edges in an image of the scene captured by a camera, and search for these edges around the boundary of projected polygons. These detected edges are used to clip the boundaries of the rendered polygons, making virtual geometry edges match strong image features. Our algorithm is easily integrable with existing AR applications, having no dependency on the underlying tracking technique. We use the advanced programmable capabilities of modern graphics hardware to achieve high performance without burdening the CPU