Abstract
This paper describes a new method for estimating an illumination distribution of a real scene. Shadows in a real scene are usually observed as soft shadows that do not have sharp edges. In the proposed method, illumination distribution of the real scene is estimated based on radiance distribution inside the soft shadows cast by an object in the scene. By observing shadows and not illumination itself, the proposed method is able to avoid several technical problems which the previously proposed methods suffered from: how to capture a wide field of view of the entire scene and how to capture a high dynamic range of the illumination. The estimated illumination distribution is then used for rendering virtual objects superimposed onto images of the real scene. We successfully tested the proposed method by using real images to demonstrate its effectiveness.
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References
Azuma, R.T.: A survey of augmented reality. Presence: Teleoperators and Virtual Environments, vol. 6, no. 4. (1997) 355–385
Azuma, R.T., Bishop, G.: Improving static and dynamic registration in an optical see-through HMD. Proceedings of SIGGRAPH 94. (1994) 197–204
Bajura, M., Fuchs, H., and Ohbuchi, R.: Merging virtual objects with the real world: seeing ultrasound imagery within the patient. Proceedings of SIGGRAPH 92. (1992) 203–210
Cohen, M.F., Chen, S.E., Wallace, J.R., Greenberg, D.P.: A progressive Refinement Approach to Fast Radiosity Image Generation Proceedings of SIGGRAPH 88. (1998) 75–84
Debevec, P.E.: Rendering Synthetic Objects into Real Scenes: Bridging Traditional and Image-based Graphics with Global Illumination and High Dynamic Range Photography. Proceedings of SIGGRAPH 98. (1998) 189–198
Drettakis, G., Robert, L., Bougnoux, S.: Interactive Common Illumination for Computer Augmented Reality. Proceedings of 8th Eurographics Workshop on Rendering. (1997) 45–57
Fournier, A., Gunawan, A., Romanzin, C.: Common Illumination between Real and Computer Generated Scenes. Proceedings of Graphics Interface 93. (1993) 254–262
Horn, B.K.P.: Robot Vision. The MIT Press, Cambridge, MA, (1986)
Kanade, T., Yoshida, A., Oda, K., Kano, H., Tanaka, M.: A Video-Rate Stereo Machine and Its New Applications. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 96. (1996) 196–202
Nayar, S.K., Ikeuchi, K., Kanade, T.: Surface reflection: physical and geometrical perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, no.7. (1991) 611–634
Sato, I., Sato, Y., Ikeuchi K.: Acquiring a radiance distribution to superimpose virtual objects into a real scene. To appear in IAPR Workshop Machine Vision and Application. (1998)
State, A., Hirota, G., Chen, D.T., Garrett, W.F., Livingston, M.A., Superior augmented-reality registration by integrating landmark tracking and magnetic tracking. Proceedings of SIGGRAPH 96. (1996) 429–438
Torrance, K.E., Sparrow, E.M.: Theory for off-specular reflection from roughened surface. Journal of Optical Society of America, vol.57. (1967) 1105–1114
Tsai, R.: A Versatile Camera Calibration Technique for High Accuracy Machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses. IEEE Journal of Robotics and Automation, vol. 3, no. 4. (1987) 323–344
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© 1999 Springer-Verlag Berlin Heidelberg
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Sato, I., Sato, Y., Ikeuchi, K. (1999). A Method for Estimating Illumination Distribution of a Real Scene Based on Soft Shadows. In: Nishio, S., Kishino, F. (eds) Advanced Multimedia Content Processing. AMCP 1998. Lecture Notes in Computer Science, vol 1554. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48962-2_4
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DOI: https://doi.org/10.1007/3-540-48962-2_4
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