Reflection space image based rendering

Cabral, Brian; Olano, Marc; Nemec, Philip

doi:10.1145/311535.311553

Cited by 89 publications

(75 citation statements)

References 28 publications

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“…Within the context of rendering surfaces under distant illumination (referred to as environment mapping within computer graphics), many previous authors such as Miller and Hoffman 5 and Cabral et al 6 have qualitatively described reflection as a convolution and have empirically demonstrated that a Lambertian bidirectional reflectance distribution function (BRDF) behaves like a low-pass filter. In computer vision, similar observations have been made by many researchers such as Haddon and Forsyth 7 and Jacobs et al 8 Our main contribution is in formalizing these previous qualitative results by deriving analytic quantitative formulas relating the incoming radiance to the irradiance.…”

Section: Previous Workmentioning

confidence: 99%

On the relationship between radiance and irradiance: determining the illumination from images of a convex Lambertian object

2001

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We present a theoretical analysis of the relationship between incoming radiance and irradiance. Specifically, we address the question of whether it is possible to compute the incident radiance from knowledge of the irradiance at all surface orientations. This is a fundamental question in computer vision and inverse radiative transfer. We show that the irradiance can be viewed as a simple convolution of the incident illumination, i.e., radiance and a clamped cosine transfer function. Estimating the radiance can then be seen as a deconvolution operation. We derive a simple closed-form formula for the irradiance in terms of spherical harmonic coefficients of the incident illumination and demonstrate that the odd-order modes of the lighting with order greater than 1 are completely annihilated. Therefore these components cannot be estimated from the irradiance, contradicting a theorem that is due to Preisendorfer. A practical realization of the radiance-fromirradiance problem is the estimation of the lighting from images of a homogeneous convex curved Lambertian surface of known geometry under distant illumination, since a Lambertian object reflects light equally in all directions proportional to the irradiance. We briefly discuss practical and physical considerations and describe a simple experimental test to verify our theoretical results.

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Section: Previous Workmentioning

confidence: 99%

On the relationship between radiance and irradiance: determining the illumination from images of a convex Lambertian object

2001

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“…[ ] introduced a unified approach to the prefiltering techniques proposed by [Miller and Hoffman 1984], [Heidrich and Seidel 1999], [Kautz and McCool 2000] and [Cabral et al 1999]. Based on this generalized point of view an approximation of the anisotropic BRDF by [Banks 1994] is given.…”

Section: Prefilteringmentioning

confidence: 99%

Homomorphic factorization of BRDF-based lighting computation

Latta

Kolb

2002

Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques

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Several techniques have been developed to approximate Bidirectional Reflectance Distribution Functions (BRDF) with acceptable quality and performance for realtime applications. The recently published Homomorphic Factorization by McCool et al. is a general approximation approach that can be used with various setups and for different quality requirements.In this paper we propose a new technique based on the Homomorphic Factorization. Instead of approximating the BRDF, our technique factorizes the full lighting computation of an isotropic BRDF in a global illumination scenario. With this method materials in complex lighting situations can be simulated with only two textures by using commonly available computation capabilities of current graphics hardware.The new technique can also be considered as a generalized approach to several environment map prefiltering techniques. Existing prefiltering techniques are usually limited to specific BRDFs or require advanced hardware capabilities like 3D texturing. With the factorization only common 2D textures are required.

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“…Significant work has been done to approximate these full lighting calculations in real-time using graphics hardware. For example, [1] and [12] described how texture prefiltering and standard texture mapping could be used to interactively render convincing approximations to the illuminated objects in [3], while [13,14,23] use multi-pass rendering methods to simulate arbitrary surface reflectance properties. This paper presents a potential step towards extending these techniques by allowing high-dynamic texture maps to be rendered with hardware acceleration and used for hardware-based lighting calculations.…”

Section: Related Workmentioning

confidence: 99%

“…Similarly, when e 1, the low 8 bits of the texture will be amplified and the displayed texture will begin to appear quantized for lack of sufficient low-order bits. This means that restricting e to the range 256 1 In general, the number of textures required to store a texture of bit depth 8n with n 2 is 2n 2. Note that for an 8n-bit texture, the useful exposure range is 256 1 n 1 .…”

Section: I´vµ Clamp´evµmentioning

confidence: 99%

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Real-Time High-Dynamic Range Texture Mapping

Cohen¹,

Tchou²,

Hawkins³

et al. 2001

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Abstract. This paper presents a technique for representing and displaying high dynamic-range texture maps (HDRTMs) using current graphics hardware. Dynamic range in real-world environments often far exceeds the range representable in 8-bit per-channel texture maps. The increased realism afforded by a highdynamic range representation provides improved fidelity and expressiveness for interactive visualization of image-based models. Our technique allows for realtime rendering of scenes with arbitrary dynamic range, limited only by available texture memory. In our technique, high-dynamic range textures are decomposed into sets of 8-bit textures. These 8-bit textures are dynamically reassembled by the graphics hardware's programmable multitexturing system or using multipass techniques and framebuffer image processing. These operations allow the exposure level of the texture to be adjusted continuously and arbitrarily at the time of rendering, correctly accounting for the gamma curve and dynamic range restrictions of the display device. Further, for any given exposure only two 8-bit textures must be resident in texture memory simultaneously. We present implementation details of this technique on various 3D graphics hardware architectures. We demonstrate several applications, including high-dynamic range panoramic viewing with simulated auto-exposure, real-time radiance environment mapping, and simulated Fresnel reflection.

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Reflection space image based rendering

Cited by 89 publications

References 28 publications

On the relationship between radiance and irradiance: determining the illumination from images of a convex Lambertian object

On the relationship between radiance and irradiance: determining the illumination from images of a convex Lambertian object

Homomorphic factorization of BRDF-based lighting computation

Real-Time High-Dynamic Range Texture Mapping

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