Abstract
Relighting algorithms make it possible to take a model of a real-world scene and virtually modify its lighting. Unlike other methods that require controlled conditions, we introduce a new radiance capture method that allows the user to capture parts of the scene under different lighting conditions. A novel calibration method is presented that finds the positions of reflective spheres and their mathematically accurate projection onto the scene geometry. The resulting radiance distribution is used to estimate a diffuse reflectance for each object, computed coherently using the appropriate light probe image. Finally, the scene is relit using a novel illumination pattern.
Similar content being viewed by others
References
3Dscanners: www.3dscanners.com
Agusanto, K., Li, L., Chuangui, Z., Sing, N.W.: Photo-realistic rendering for augmented reality using environment illumination. In: Proceedings of IEEE/ACM International Symposium on Augmented and Mixed Reality (ISMAR’03), vol. 21, pp. 208–216 (2003)
Boivin, S., Gagalowicz, A.: Image-based rendering of diffuse, specular and glossy surfaces from a single image. In: Proceedings ACM Siggraph’01 (Computer Graphics), pp. 107–116. ACM, New York (2001)
Cyberware: www.cyberware.com
Debevec, P.: Rendering synthetic objects into real scenes: bridging traditional and image-based graphics with global illumination and high dynamic range photography. In: Proceedings of ACM Siggraph’98 (Computer Graphics), pp. 189–198 (1998)
Debevec, P.E., Malik, J.: Recovering high dynamic range radiance maps from photographs. In: Proceedings of ACM Siggraph’97 (Computer Graphics), pp. 369–378 (1997)
Debevec, P.E., Taylor, C.J., Malik, J.: Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach. In: Proceedings of ACM Siggraph’96 (Computer Graphics), pp. 11–20 (1996)
Debevec, P. et al.: Estimating surface reflectance properties of a complex scene under captured natural illumination. USC ICT Technical Report ICT-TR-06.2004 (2004)
Dror, R.O., Adelson, E.H., Willsky, A.S.: Estimating surface reflectance properties from images under unknown illumination. In: Proceedings of the SPIE Conference on Human Vision and Electronic Imaging, San Jose, CA (2001)
Elkin, J.M.: A deceptively easy problem. Math. Teach. 58, 194–199 (1965)
HDRshop 2.0: http://www.hdrshop.com
Jacobs, K., Loscos, C.: Classification of illumination methods for mixed-reality. Comput. Graph. Forum 25(1), 29–51 (2006)
Jacobs, K., Loscos, C., Ward, G.: Automatic HDRI generation for dynamic scenes. IEEE Comput. Graph. Appl. 28(2), 84–93 (2008)
Hu, G.H., Ong, S.K., Chen, Y.P., Nee, A.Y.: Reflectance modeling for a textured object under uncontrolled illumination from high dynamic range maps. Comput. Graph. 31(2), 262–270 (2007). Technical Section
Leica: Hds 3000. http://www.leica-geosystems.com
Li, Y., Lin, S., Kang, S.B., Lu, H., Shum, H.-Y.: Single-image reflectance estimation for relighting by iterative soft grouping. In: Proceedings, 10th Pacific Conference on Computer Graphics and Applications, pp. 483–486 (2002)
Loscos, C., Frasson, M.C., Drettakis, G., Walter, B., Granier, X., Poulin, P.: Interactive virtual relighting and remodeling of real scenes. In: Lischinski, D., Larson, G. (eds.) Proceedings of 10th Eurographics Workshop on Rendering (Rendering Techniques’99), vol. 10, pp. 235–246. Springer, New York (1999)
Loscos, C., Drettakis, G., Robert, L.: Interactive virtual relighting of real scenes. IEEE Trans. Vis. Comput. Graph. 6(3), 289–305 (2000)
Marschner, S.R.: Inverse rendering in computer graphics. Ph.D. Thesis, Program of Computer Graphics, Department of Computer Graphics, Cornell University, Ithaca, NY (1998)
MetaCreations: Canoma. http://www.metacreations.com/products/canoma
Metris: http://www.metris.com/
Miller, A.R., Vegh, E.: Computing the grazing angle of specular reflection. Technical Report, Naval Research Lab., Washington, DC (1991)
Mitsunaga, T., Nayar, S.K.: Radiometric self calibration. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 374–380. Collins, Glasgow (1999)
Neumann, P.: Reflections on reflection in a spherical mirror. Am. Math. Mon. 105, 523–528 (1998)
Okatani, T., Deguchi, K.: Estimation of illumination distribution using a specular sphere. In: Proceedings of the 15th International Conference on Pattern Recognition, vol. 3 (2000)
Patow, G., Pueyo, X.: A survey on inverse rendering problems. Comput. Graph. Forum 22(4), 663–687 (2003)
Pharr, M., Humphreys, G.: Physical based rendering pbrt. http://pbrt.org/
Photomatix: Multimediaphoto. http://www.hdrsoft.com
Realviz: Image modeller. http://www.realviz.com
Sato, I., Sato, Y., Ikeuchi, K.: Acquiring a radiance distribution to superimpose virtual objects onto a real scene. IEEE Trans. Vis. Comput. Graph. 5(1), 1–12 (1999)
Troccoli, A., Allen, P.K.: Relighting acquired models of outdoor scenes. In: 3DIM (2005)
Troccoli, A., Allen, P.K.: Recovering illumination and texture using ratio images. In: Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT’06), pp. 655–662 (2006)
Waldvogel, J.: The problem of the circular billiard. Elem. Math. 47, 108–113 (1992)
Yu, Y., Malik, J.: Recovering photometric properties of architectural scenes from photographs. In: Proceedings of ACM Siggraph’98 (Computer Graphics), pp. 207–217. ACM, New York (1998)
Yu, Y., Debevec, P., Malik, J., Hawkins, T.: Inverse global illumination: recovering reflectance models of real scenes from photographs. In: Proceedings of ACM Siggraph’99 (Computer Graphics), pp. 215–224. ACM, New York (1999)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Jacobs, K., Nielsen, A.H., Vesterbaek, J. et al. Coherent radiance capture of scenes under changing illumination conditions for relighting applications. Vis Comput 26, 171–185 (2010). https://doi.org/10.1007/s00371-009-0360-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00371-009-0360-2