Estimation of scene illumination from a single image or an image sequence has been widely studied in computer vision. The approach presented in this paper, introduces two new issues: (1) illumination classiΓΏcation is performed rather than illumination estimation; (2) an object-based approach is used
Illumination of image-based objects
β Scribed by Wong, Tien-Tsin ;Heng, Pheng-Ann ;Or, Siu-Hang ;Ng, Wai-Yin
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 207 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1049-8907
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β¦ Synopsis
A new data representation of image-based objects is presented. With this representation, the user can change the illumination as well as the viewpoint of an image-based scene. Physically correct imagery can be generated without knowing any geometrical information (e.g. depth or surface normal) of the scene. By treating each pixel on the image plane as a surface element, we can measure its apparent BRDF (bidirectional reflectance distribution function) by collecting information in the sampled images. These BRDFs allow us to calculate the correct pixel colour under a new illumination set-up by fitting the intensity, direction and number of the light sources. We demonstrate that the proposed representation allows re-rendering of the scene illuminated by different types of light sources. Moreover, two compression schemes, spherical harmonics and discrete cosine transform, are proposed to compress the huge amount of tabular BRDF data.
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