2008
DOI: 10.1007/978-3-540-88693-8_63
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Passive Reflectometry

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Cited by 77 publications
(86 citation statements)
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“…The achievable quality of our system is bound by fundamental limitations such as the bandwidth of the reflectance and the frequency content of the illumination [24,25]. We nevertheless achieve good quality results for the datasets presented in this paper.…”
Section: Introductionmentioning
confidence: 72%
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“…The achievable quality of our system is bound by fundamental limitations such as the bandwidth of the reflectance and the frequency content of the illumination [24,25]. We nevertheless achieve good quality results for the datasets presented in this paper.…”
Section: Introductionmentioning
confidence: 72%
“…They then used an inverse rendering approach to create a relightable model of the Pantheon from images with known, distant illumination. Most recently, Romeiro et al [25] introduced a passive reflectometry approach that estimates a bi-variate representation of an isotropic BRDF from a single image of a curved surface captured under known distant illumination. All of these systems require either known or controlled incident illumination and often also a detailed, captured or manually created scene model and are thus unable to reconstruct a scene's reflectance from existing imagery.…”
Section: Reflectance From Known Illuminationmentioning
confidence: 99%
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“…Kurt et al [KSKK10] The multiple specular lobe model can represent layered or mixed materials. Bagher et al [BSH12] Provides accurate fitting for materials in the MERL database Löw et al [LKYU12] Guarantees accurate fitting to measured data for glossy surfaces; descibes 2 models based on the ABC distribution DATA-DRIVEN Matusik et al [MPBM03a] Provides realistic appearance and meaningful parameterisation Matusik et al [MPBM03b] Reduces number of samples to acquire and represent BRDF ISOTROPIC Romeiro et al [RVZ08] Bivariate representation, allows to capture off-specular and retro-reflections. [Arv95] or with the simpler option of a power series in (n · h) with a suitable sequence of exponents [Lew94].…”
Section: Ershov Et Al [Ekm01]mentioning
confidence: 99%
“…In addition, such naive representations are not straight forward to edit and interact with. Using more efficient representations such as the bivariate approximation by Romeiro et al [183] can help to reduce the data sizes. The measured data can also be approximated by using a finite truncation of some suitable analytical basis expansion, for example spherical harmonics [222].…”
Section: Data Driven Modelsmentioning
confidence: 99%