2005
DOI: 10.1111/j.1467-8659.2005.00863.x
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BRDF and geometry capture from extended inhomogeneous samples using flash photography

Abstract: We present a technique which allows capture of 3D surface geometry and a useful class of BRDFs using extremely simple equipment. A standard digital camera with an attached flash serves as a portable capture device, which may be used to sample geometry to very high resolution, as well as supplying samples over a large portion of the 4D space on which the BRDF is defined. Importantly, it allows capture of extended samples which may have spatially varying (inhomogeneous) BRDF. We demonstrate the system by capturi… Show more

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Cited by 43 publications
(39 citation statements)
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“…Effort has also been placed in hybrid approaches that simultaneously infer shape and reflectance from photographs [Wang and Dana 2004;Goldman et al 2005;Paterson et al 2005;Ruiters and Klein 2009]. With sufficient input these methods can produce good results, but must make some assumptions (such as moderately diffuse BRDFs [Paterson et al 2005]) because the simultaneous reflectance and geometry problem is fundamentally underconstrained.…”
Section: Related Workmentioning
confidence: 99%
“…Effort has also been placed in hybrid approaches that simultaneously infer shape and reflectance from photographs [Wang and Dana 2004;Goldman et al 2005;Paterson et al 2005;Ruiters and Klein 2009]. With sufficient input these methods can produce good results, but must make some assumptions (such as moderately diffuse BRDFs [Paterson et al 2005]) because the simultaneous reflectance and geometry problem is fundamentally underconstrained.…”
Section: Related Workmentioning
confidence: 99%
“…We prefer to estimate the mapping by employing an easy-to-use calibration tool (Figure 1 (right)) similar to the one used in [16]. The pattern is planar with special markings that allow the plane orientation to be estimated.…”
Section: Setup and Calibrationmentioning
confidence: 99%
“…Researchers have built upon the idea of the use of multiple light sources (photometric stereo) [36] to capture material appearance from fewer view points, effectively recovering albedo and local surface orientation [28,12]. Paterson et al's [26] material capture approach combines photometric stereo with multiple view geometry captures to recover displacement maps and inhomogeneous BRDFs over nearly planar samples. Ward and Glencross [32] employ a similar approach to estimate albedo (diffuse reflectance), based on single view multi-flash captures in conjunction with shape from shading [16,21,39,13].…”
Section: Image Based Reflectance and Shape Recoverymentioning
confidence: 99%