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Towards a new camera model for X3D
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3D technologies for the World Wide Web archive
Proceedings of the 14th International Conference on 3D Web Technology table of contents
Darmstadt, Germany
SESSION: Cameras and narrativity table of contents
Pages 79-82  
Year of Publication: 2009
ISBN:978-1-60558-432-4
Authors
Yvonne Jung  Fraunhofer IGD / TU Darmstadt, Darmstadt, Germany
Johannes Behr  Fraunhofer IGD / TU Darmstadt, Darmstadt, Germany
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

Creating and setting the right parameters for the virtual camera is crucial for any content creation process. However, this is not easy since most current camera models, including the X3D Viewpoint, use a 3D position and orientation in 3D space to define the final visualized image. People use authoring tools or simple interactive navigation methods (e.g. "lookAt" or "showAll") to ease the process but at the end they still move a 6D (translation and rotation) camera beacon to get the final image. We thus propose a new X3D camera model, the CinematographicViewpoint node, which does not force the content creator to move the camera but allows the author to directly define what objects he would like to see on the screen. We borrow established techniques from the film area (e.g. rule of thirds and line of action) that allow defining objects and object-relations, which the camera model will use to automatically calculate the final transformation in space. The new camera model includes additionally a model for global visual effects (e.g. motion blur and depth of field), which allows incorporating classical film effects to real-time scenes. Both approaches combined allow content creators building visual results and camera movements that are closer to traditional filming much easier. The proposed approach also supports automatic camera movements that are bound to interactive content, which has not been possible before.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
ANSWER, 2008. http://www.answer-project.org/.
 
2
Blinn, J. 1988. Where am I? What am I looking at? IEEE Computer Graphics and Applications 22, 179--188.
 
3
Christianson, D. B., Anderson, S. E., He, L.-W., Salesin, D., Weld, D. S., and Cohen, M. F. 1996. Declarative camera control for automatic cinematography. In AAAI/IAAI, Vol. 1, 148--155.
4
 
5
 
6
Hammon, E. 2007. Practical post-process depth of field. In GPU Gems 3, H. Nguyen, Ed. Addison-Wesley, ch. 28, 583--605.
 
7
8
 
9
IR, 2009. Instant Reality. http://www.instantreality.org/.
 
10
Jinhong, S., Miyazaki, S., Aoki, T., and Yasuda, H. 2003. Filmmaking production system with rule-based reasoning. In Image and Vision Computing, 366--371.
11
12
 
13
Kneafsey, J., and McCabe, H. 2004. Camera control through cinematography for virtual environments: A state of the art report. In Proc. of Eurographics Ireland Chapter Workshop 2004.
 
14
OpenSG, 2009. OpenSG. http://opensg.vrsource.org/trac.
 
15
Rosado, G. 2007. Motion blur as a post-processing effect. In GPU Gems 3. Addison-Wesley, ch. 27, 575--581.
 
16
Shreiner, D., Woo, M., Neider, J., and Davis, T. 2006. OpenGL Programming Guide, 5 ed. Addison-Wesley, Boston.
 
17
Web3D. 2008. X3D. http://www.web3d.org/x3d/specifications/.
 
18
Yannopoulos, A., Savrami, K., and Varvarigou, T. 2008. Directornotation, a tool for ami&intelligent content: an introduction by example. International Journal of Cognitive Informatics and Natural Intelligence (IJCiNi).

Collaborative Colleagues:
Yvonne Jung: colleagues
Johannes Behr: colleagues