Nebula:A Mesh-Error Measuring Tool Based on Rendered Images

In this paper we propose a tool that compares the difference of the surface and its simplified representation. Geometry-based metrics usually cannot truly reflect how the user perceives the difference when surfaces are rendered on the screen, hence we provide an alternative tool that is image-based, which complement the deficiency of the geometry-based. Two metrics are implemented in the tool: pixel-wise Mean Squared Image Differences and Cortex Pyramid differences. We not only implement these image-based metrics but also provide an assessment of the results between imageand geometrybased metrics.