We present a novel multi-view, projective texture mapping technique. While previous multi-view texturing approaches lead to blurring and ghosting artefacts if 3D geometry and/or camera calibration are imprecise, we propose a texturing algorithm that warps (“floats”) projected textures during run-time to preserve crisp, detailed texture appearance. Our GPU implementation achieves interactive to real-time frame rates. The method is very generally applicable and can be used in combination with many image-based rendering methods or projective texturing applications. By using Floating Textures in conjunction with, e.g., visual hull rendering, light field rendering, or free-viewpoint video, improved rendering results are obtained from fewer input images, less accurately calibrated cameras, and coarser 3D geometry proxies.

Whenever approximate 3D geometry is projectively texture-mapped from diffent directions simultaneously, annoyingly visible aliasing artifacts are the result. To prevent such ghosting in projective texturing and image-based rendering, we propose two dierent GPU-based rendering strategies: Filtered blending and Floating textures. Either approach is able to cope with imprecise 3D geometry as well as inexact camera calibration. Ghosting artifacts are effectively eliminated at real-time rendering frame rates on standard graphics hardware. With the proposed rendering techniques, better-quality rendering results are obtained from fewer images, coarser 3D geometry, and less accurately calibrated images.

Whenever approximate 3D geometry is projectively texture-mapped from dierent directions simultaneously, annoyingly visible aliasing artifacts are the result. To prevent such ghosting in projective texturing and image-based rendering, we propose two dierent GPU-based rendering strategies: ltered blending and oating textures. Either approach is able to cope with impre- cise 3D geometry as well as inexact camera calibration. Ghosting artifacts are eectively eliminated at real-time rendering frame rates on standard graphics hardware. With the proposed rendering techniques, better-quality rendering results are obtained from fewer images, coarser 3D geometry, and less accurately calibrated images.

Scope of Reality CG is to pioneer a novel approach to modelling, editing and rendering in computer graphics. Instead of manually creating digital models of virtual worlds, Reality CG will explore new ways to achieve visual realism from the kind of approximate models that can be derived from conventional, real-world imagery as input.

The Virtual Video Camera research project is aimed to provide algorithms for rendering free-viewpoint video from asynchronous camcorder captures. We want to record our multi-video data without the need of specialized hardware or intrusive setup procedures (e.g., waving calibration patterns).