R. C. Love. Surface Reflection Model Estimation from Naturally Illuminated Image Sequences. PhD thesis, University of Leeds, 1997. Home/Search Document Details and Download
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Surface Reflectance Recognition and Real-World Illumination.. - Dror (Correct)
....although they estimate the exact location of the light source from image data. Sato et al. 92] as well as Marschner [65] develop similar techniques that accommodate spatial variation in the di#use reflectance coe#cient as well as a more general geometry acquired through laser range scanning. Love [60] measured reflectance from multiple photographs under illumination by the sun and sky, using a model that specifies the amount of light incident from each direction at a particular location, season, and time of day. None of these methods recover reflectance from photographs acquired in the real ....
R. C. Love. Surface Reflection Model Estimation from Naturally Illuminated Image Sequences. PhD thesis, University of Leeds, 1997.
A Signal-Processing Framework for Inverse Rendering - Ramamoorthi, Hanrahan (2001) (24 citations) (Correct)
....quality measurements. However, most previous work has been conducted in highly controlled lighting conditions, usually by careful active positioning of a single point source. Even methods that work in outdoor conditions, such as those of Yu and Malik [39] Sato and Ikeuchi [31] and Love [17], are designed specifically for natural illumination, and assume a simple parametric model for skylight. Previous methods have also usually tried to recover only one of the unknowns texture, BRDF or lighting. The usefulness of inverse rendering would be greatly enhanced if it could be applied ....
....representation is by low parameter models such as those of Ward [37] or Torrance and Sparrow [36] The parametric BRDF will generally not be as accurate as a full measured BRDF. However, parametric models are often preferred in practice since they are compact, and are simpler to estimate. Love [17] estimates parametric BRDFs under natural illumination, assuming a low parameter model for skylight and sunlight. Dror et al. 7] classify the surface reflectance as one of a small number of predetermined BRDFs, making use of assumed statistical characteristics of natural lighting. However, the ....
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R.C. Love. Surface Reflection Model Estimation from Naturally Illuminated Image Sequences. PhD thesis, Leeds, 1997.
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