Accurate light source acquisition and rendering

Goesele, Michael; Granier, Xavier; HeidrichWolfgang,; SeidelHans-Peter,

doi:10.1145/882262.882316

Cited by 27 publications

(32 citation statements)

References 18 publications

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“…Goesele et al [20] proposed a new technique to obtain accurate light data. A simple optical measuring device was used to emit real-world light to a filter and the obtained light field data could be pre-filtered.…”

Section: Data Acquisition and Simulation Techniques Of Incident Lightmentioning

confidence: 99%

“…The physics-based astronomical phenomena [8][9][10][11] and atmospheric phenomena [12,13] are simulated in Germany Braunschweig University. Canadian British Columbia University conducted research on light field rendering, capture [14,15] and the 3D capture of non-stationary gas flows [16]. Recently Beihang University started research on smoke data acquisition and reconstruction [17].…”

Section: Introductionmentioning

confidence: 99%

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Data acquisition and simulation of natural phenomena

Zhao

2011

Sci. China Inf. Sci.

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Virtual natural phenomena obtained through mathematical-physical modeling and simulation as well as graphics emulation can meet the user's requirements for sensory experiences to a certain extent but they can hardly have the same accurate physical consistency as real natural phenomena. The technology for data acquisition and natural phenomena simulation can enable us to obtain multi-dimensional and multi-modal data directly from real natural phenomena and, based on these real data, to establish digital models highly consistent with real natural phenomena in appearance, physics, behavior or many other aspects, thus making a virtual natural phenomenon a direct mapping of real natural phenomenon. This approach is conducive to resolving problems concerning the reliability and availability of virtual reality. At present the technology for acquiring and simulating dada of natural phenomena is still in its initial stage. This paper gives a review of the related investigations. Firstly, we briefly introduce the basic methods and techniques concerned, then, based on the difference between the basic elements of various natural phenomena, we discuss the current studies on such natural phenomena as light, water, fire, smoke, dynamic terrain, etc., and finally, in connection with issues in the present research and possible future direction of development, we put forth a number of theoretical and technical problems, hoping they can be resolved in the near future.

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Section: Data Acquisition and Simulation Techniques Of Incident Lightmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Data acquisition and simulation of natural phenomena

Zhao

2011

Sci. China Inf. Sci.

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“…This technique aims to create a full reflectance field of an object based on capturing images of the object illuminated under various lighting conditions. Goesele [9] described a processing pipeline that deals with complex light sources from acquisition to global illumination rendering. Yu [10] presented an interactive image-based technique to relight real scenes with physical light sources acquisition.…”

Section: The Image-based Relightingmentioning

confidence: 99%

A hybrid rendering algorithm for textile objects

Zhang

Pan

Shi

et al. 2009

Sci. China Ser. F-Inf. Sci.

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Although realistic textile rendering has been widely used in virtual garment and try-on systems, a robust method to simulate textile with a realistic appearance and high fidelity is yet to be established. We propose to use a novel hybrid geometric-and image-based rendering (GIBR) method to achieve photo realistic representation of textile products. The image-based technique, with its radiance synthesis algorithm, enables us to recover the reflectance properties of textile in an environment photo, and thus can render the appearance of textile material. The geometry-based technique, with its traditional illumination model of assigning illumination parameters extracted from the original scene (such as radiance and chroma dispatch), makes it possible to interactively manipulate 3D virtual objects in the "real" environment. Our realistic textile rendering method has advantages over the traditional ones in its easiness to implement and its wide range of applications. realistic rendering, image and geometry hybrid, radiance synthesis

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“…Basis function approaches have been used in the past for measuring other visual effects, including light fields (Goesele et al 2003), reflectance fields (Wenger et al 2005) and environment mattes (Peers and Dutré 2005). While similar is spirit, these approaches measure different physical properties, and are therefore both mathematically and optically very different from ours.…”

Section: Related Workmentioning

confidence: 99%

“…In practice, we separately project the positive Z + k and the negative Z − k parts of the basis function Z k , and subtract the resulting coefficients in software, similar to the work by Goesele et al (2003).…”

Section: Measurement With Basis Functionsmentioning

confidence: 99%

A Basis Illumination Approach to BRDF Measurement

et al. 2008

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Realistic descriptions of surface reflectance have long been a topic of interest in both computer vision and computer graphics research. In this paper, we describe a novel high speed approach for the acquisition of bidirectional reflectance distribution functions (BRDFs). We develop a new theory for directly measuring BRDFs in a basis representation by projecting incident light as a sequence of basis functions from a spherical zone of directions. We derive an orthonormal basis over spherical zones that is ideally suited for this task. BRDF values outside the zonal directions are extrapolated by re-projecting the zonal measurements into a spherical harmonics basis, or by fitting analytical reflection models to the data. For specular materials, we experiment with alternative basis acquisition approaches such as compressive sensing with a random subset of the higher order orthonormal zonal basis functions, as well as measuring the response to basis defined by an analytical model as a way of optically fitting the BRDF to such a representation. We verify this approach with a compact optical setup that requires no moving parts and only a small number of image measurements. Using this approach, a BRDF can be measured in just a few minutes.A. Ghosh ( ) ·

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Accurate light source acquisition and rendering

Cited by 27 publications

References 18 publications

Data acquisition and simulation of natural phenomena

Data acquisition and simulation of natural phenomena

A hybrid rendering algorithm for textile objects

A Basis Illumination Approach to BRDF Measurement

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