3D modeling for communications

The media and communications providers share an increasing interest in 3D models of people, objects, and scenes. The paper focuses on features that 3D acquisition systems ought to have in order to optimally serve these markets, where emphasis is on realistic visualisation. It is argued that 3D acquisition techniques developed for traditional applications such as visual inspection aren't necessarily the best option. Techniques should be developed that are dedicated to visualisation-specific requirements. This is exemplified with two systems that have been developed recently. One takes uncalibrated video data as input from which it generates a 3D model. A second system projects a grid of lines and gets dense 3D from a single image. This system needs some calibration, but the corresponding procedure is extremely simple. It can also be used to capture detailed, 3D scene dynamics.

[1]  Minoru Maruyama,et al.  Range Sensing By Projecting Multiple Slits With Random Cuts , 1990, Other Conferences.

[2]  Ray A. Jarvis,et al.  A Perspective on Range Finding Techniques for Computer Vision , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Gongzhu Hu,et al.  3-D Surface Solution Using Structured Light and Constraint Propagation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Kim L. Boyer,et al.  Color-Encoded Structured Light for Rapid Active Ranging , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  André Oosterlinck,et al.  Range Image Acquisition with a Single Binary-Encoded Light Pattern , 1990, IEEE Trans. Pattern Anal. Mach. Intell..