Virtualized Reality: Perspectives on 4D Digitization of Dynamic Events

Digitally recording dynamic events, such as sporting events, for experiencing in a spatio-temporally distant and arbitrary setting requires 4D capture: three dimensions for their geometry and appearance over the fourth dimension of time. Today's computer vision techniques make 4D capture possible. The virtualized reality system serves as an example on the general problem of digitizing dynamic events. In this article, we present the virtualized reality system's details from a historical perspective

[1]  ZhangZhengyou A Flexible New Technique for Camera Calibration , 2000 .

[2]  Takeo Kanade,et al.  Shape-From-Silhouette Across Time Part II: Applications to Human Modeling and Markerless Motion Tracking , 2005, International Journal of Computer Vision.

[3]  Richard Szeliski,et al.  High-quality video view interpolation using a layered representation , 2004, SIGGRAPH 2004.

[4]  Masayuki Tanimoto FTV (Free Viewpoint Television) for 3D Scene Reproduction and Creation , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[5]  Jitendra Malik,et al.  Modeling and Rendering Architecture from Photographs: A hybrid geometry- and image-based approach , 1996, SIGGRAPH.

[6]  Takeo Kanade,et al.  Constructing virtual worlds using dense stereo , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[7]  Marc Levoy,et al.  The digital Michelangelo project: 3D scanning of large statues , 2000, SIGGRAPH.

[8]  Takeo Kanade,et al.  Video-Rate Z Keying: A New Method for Merging Images , 1995 .

[9]  Takeo Kanade,et al.  Virtualized Reality: Constructing Virtual Worlds from Real Scenes , 1997, IEEE Multim..

[10]  Takeo Kanade,et al.  Appearance-based virtual view generation from multicamera videos captured in the 3-D room , 2003, IEEE Trans. Multim..

[11]  Richard Szeliski,et al.  The lumigraph , 1996, SIGGRAPH.

[12]  K. Ikeuchi,et al.  Digital Restoration of The Original Great Buddha and Main Hall of Todaiji Temple , 2005 .

[13]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[14]  Saied Moezzi,et al.  Virtual View Generation for 3D Digital Video , 1997, IEEE Multim..

[15]  Takeo Kanade,et al.  Virtualized Reality : Digitizing a 3D Time-Varying Event As Is and in Real Time , 1999 .

[16]  Markus H. Gross,et al.  3D video recorder , 2002, 10th Pacific Conference on Computer Graphics and Applications, 2002. Proceedings..

[17]  Luc Van Gool,et al.  Blue-c: a spatially immersive display and 3D video portal for telepresence , 2003, IPT/EGVE.

[18]  Marc Rioux,et al.  Active Optical 3D Imaging for Heritage Applications , 2002, IEEE Computer Graphics and Applications.

[19]  Takeo Kanade,et al.  Image-based spatio-temporal modeling and view interpolation of dynamic events , 2005, TOGS.

[20]  Marc Levoy,et al.  Light field rendering , 1996, SIGGRAPH.

[21]  Takeo Kanade,et al.  Virtual ized reality: constructing time-varying virtual worlds from real world events , 1997 .

[22]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Masaki Oshita,et al.  Motion-capture-based avatar control framework in third-person view virtual environments , 2006, ACE '06.

[24]  Markus H. Gross,et al.  Interactive 3D video editing , 2006, The Visual Computer.

[25]  Takeo Kanade,et al.  Development of a video-rate stereo machine , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[26]  Shree K. Nayar,et al.  Computational Cameras: Redefining the Image , 2006, Computer.

[27]  Hans-Peter Seidel,et al.  Free-viewpoint video of human actors , 2003, ACM Trans. Graph..