Image-Based 3D Modeling: Modeling from Reality

Increasingly, realistic object, scene, and event modeling is based on image data rather than manual synthesis. The paper describes a system for visits to a virtual, 3D archeological site. One can navigate through this environment, with a virtual guide as companion. One can ask questions using natural, fluent speech. The guide will respond and will bring the visitor to the desired place. Simple answers are given as changes in the orientations of his head, by him raising his eyebrows or by head nodding. In the near future the head will speak.

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

[2]  Songde Ma,et al.  Sequential synthesis of natural textures , 1985, Comput. Vis. Graph. Image Process..

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

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

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

[6]  Paul A. Beardsley,et al.  Euclidean Structure from Uncalibrated Images , 1994, BMVC.

[7]  Anders Heyden,et al.  Euclidean reconstruction from image sequences with varying and unknown focal length and principal point , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Reinhard Koch,et al.  Multi Viewpoint Stereo from Uncalibrated Video Sequences , 1998, ECCV.

[9]  Reinhard Koch,et al.  Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[10]  A. Zalesny Analysis and Synthesis of Textures With Pairwise Signal Interactions , 2002 .