Abstract
Image-space Correction of AR Registration Errors Using Graphics Hardware
by: Stephen DiVerdi and Tobias Hollerer
Abstract:
We present a 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 most 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.
Keywords:
Image Processing, Programmable Shaders, Registration Error Correction
Date:
April, 2005
Document: 2005-06
