Yu, Y., Debevec, P., Malik, J., and Hawkins, T. 1999. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In SIGGRAPH 99, pages 215--224.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....and di#use parameters [ 20, 2, 31, 24 ] A range imaging sensor was used by these author to recover the geometry. This has been extended to allow for multiple known point light sources, as well as indirect illumination e#ects, resulting in impressive re renderings of controlled environments [ 36 ] . The geometry was modeled precisely by manual methods. These approaches are able to recover rich models of either the illuminant or the reflectance, but unlike the method that we propose, they cannot recover both. One method which has this capability was recently introduced [ 30 ] Using a ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. Computer Graphics, SIGGRAPH Proceedings, pages 215--224, August 1999.

....which addresses the triangulation step, is now well understood, and several textbooks are now available. It is straightforward to show that if a scene has arbitrary reflectance properties and one can change the light distribution from frame to frame, correspondence cannot be established [18]. In addressing non Lambertian reflection, this work relates to several studies on specular reflections in stereo matching and reconstruction. Bhat and Nayar [1] consider the likelihood of correct stereo matching by analyzing the relationship between stereo vergence and surface roughness, and ....

....Jin et al. 10] modify the cost functional to minimize the effects of isolated specularities. This work also relates to the general problem of estimating reflectance properties as well as shape from sequences of images; for instance, Yu et al. use known shape to estimate global illumination [18]; see also work on light field rendering, such as [4, 6, 14] and references therein. None of the algorithms described, however, returns an estimate of both the shape and the (non Lambertian) reflection of the scene. 1.2 Contributions of this paper We address the problem of stereo reconstruction ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Proc. ACM SIGGRAPH, 1999.

....particular location, season, and time of day. None of these methods recover reflectance from photographs acquired in the real world under unknown lighting conditions. Several authors have recently estimated both illumination and reflectance from a set of photographs under real world illumination [9,73,86,123,124]. They all assume known geometry and a Phong or Ward like specular plus di#use reflectance model. They all apply an iterative estimation technique to deduce both illumination and reflectance, matching resynthesized images to the observed images. These techniques assume that enough information is ....

....require a complete geometric model of the surrounding scene and a reasonable initial estimate for illumination. Yu and Malik [124] measure the illumination incident on the scene from each direction photographically, constructing an illumination map such as those described in Chapter 4. Yu et al. [123] explicitly specify the location of primary light sources. Ramamoorthi and Hanrahan [86] assume the presence of a point source in a known direction. Nishino et al. 72,73] introduce a regularization term on illumination motivated by computational e#ciency, and also assume that all illumination has ....

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Computer Graphics (SIGGRAPH), pages 215--224, Los Angeles, 1999.

....non interactive algorithms. We build our method on a previous interactive common illumination approach [DRB97] which was restricted in the effects it could treat to virtual objects casting shadows on reconstructed real surfaces. Concurrently with this work, two new solutions have been proposed [YDMH99, LFD 99] We discuss how this work relates to these solution in Section 7.1. Our solution has three main steps. We first reconstruct a 3D representation of a real scene, using advanced vision based techniques. A hierarchical radiosity system is then initialized in a preprocess step, to ....

....The corresponding shaft is outlined in grey. 2. 4 Common illumination in augmented reality The retrieval and simulation of common illumination between virtual and real objects has been treated by several researchers in previous work [SHC 96, NHIN86, YM98, JNP 95, Deb98, 8 FGR93, DRB97, YDMH99] All use some form of a 3D representation of the real scene. State et al. SHC 96] use a composition of vision based and magnetic tracking methods for accurate registration of the real environment. Virtual objects are inserted into a real scene and common illumination is performed, with a ....

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Y. Yu, P.E. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In SIGGRAPH '99 (to appear), 1999.

....in computer graphics has motivated several researchers to develop image based reflectance estimation techniques. Many of these assume point source illumination [25, 21, 16] and therefore do not apply to photographs taken in the natural world under complex, unknown lighting conditions. Yu et al. [29] and Boivin and Gagalowicz [2] iteratively estimate both the illumination and reflectance of every surface patch in a scene. To ensure that their optimization will converge to a unique and correct solution, they require a complete geometric model of the surrounding scene, a reasonable initial ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Computer Graphics (SIGGRAPH), pages 215--24, Los Angeles, 1999. 8

....part (albedo map) of the object s texture for each visible point using a similar technique. The resulting texture includes only view independent color information and no specular reflection. Albedo maps plus one reflection model per surface patch have been acquired for indoor scenes by Yu et al. [53] which assumed that material properties only change from patch to patch. An approach to acquire distinct reflection properties for every surface point has been published by Debevec et al. 11] A set of images of an object, e.g. a person s face, is taken from one viewpoint while the position of a ....

Yizhou Yu, Paul Debevec, Jitendra Mali, and Tim Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. Proceedings of SIGGRAPH 99, pages 215--224, August 1999. 38

....and an illumination component. This is useful both for relighting and clone brushing, since the decoupled texture channel has a uniform level of illumination. Most previous relighting work relies on a light transport simulation to remove the effect of existing lighting [FGR93, DRB97, Deb98, YDMH99, LFD 99, LDR00] Loscos et al. use texture synthesis to remove artifacts along shadow boundaries, but still require an initial physical simulation [LDR00] In contrast, our approach is not physically based. It is an image processing filter that removes lighting effects from uniformly textured ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. Proc. of SIGGRAPH, 1999.

.... with a photographic camera [23] One year later, Debevec and Malik proposed a method for recovering high dynamic range radiance from photographs [22] Debevec and Malik s method was later used by Debevec to embed synthetic 14 objects into real scenes [20] and by Yu and Malik [106] Yu et al. [105] and Debevec et al. 21] to extract radiance and reflectance information from photographs and generate new images from them with updated illumination effects. Image based techniques have also been used to extract multi layer 3D representations from 2D photographs [51] and to design the office of ....

Yizhou Yu, Paul Debevec, Jitendra Malik, and Tim Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Proceedings of SIGGRAPH'99 (Los Angeles, CA, August 8--13, 215--224. ACM SIGGRAPH, 1999.

....improved methods for estimating the illumination. 5. Factorization Unknown Texture and BRDF: This corresponds to recovering textured, or spatially varying BRDFs. Sato et al. 32] rotate an object on a turntable, using a single point source, to recover BRDF parameters and texture. Yu et al. [38] recover a texture only for the diffuse BRDF component, but account for interreflections. Using a large number of images obtained by moving a point source around a sphere surrounding the subject, Debevec et al. 6] acquire the reflectance field of a human face, and recover parameters of a ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In SIGGRAPH 99, pages 215--224, 1999.

....in computer graphics has motivated several researchers to develop image based reflectance estimation techniques. Many of these assume point source illumination [25, 21, 17] and therefore do not apply to photographs taken in the natural world under complex, unknown lighting conditions. Yu et al. [29] and Boivin and Gagalowicz [2] iteratively estimate both the illumination and reflectance of every surface patch in a scene. To ensure that their optimization will converge to a unique and correct solution, they require a complete geometric model of the surrounding scene, a reasonable initial ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Computer Graphics (SIGGRAPH), pages 215--24, Los Angeles, 1999.

....of Marschner et al. but we are also dealing with spatially varying BRDFs and we are fitting a reflection model rather than using a tabular form in order to achieve a compact representation. A number of researchers have also described the fitting of reflection models to the acquired sample data [2, 11, 22, 25, 28]. Of these methods, the ones by Ward Larson [25] and Lafortune et al. 11] do not consider spatial variations. Sato et al. 22] fit a Torrance Sparrow model [24] to the data, and consider high frequency variations for the diffuse part but only per triangle variations for the specular part. This is ....

....[25] and Lafortune et al. 11] do not consider spatial variations. Sato et al. 22] fit a Torrance Sparrow model [24] to the data, and consider high frequency variations for the diffuse part but only per triangle variations for the specular part. This is also the case for the work by Yu et al. [28], which also takes indirect illumination into account. In our work, we perform the measurements in a darkened, black room, so that there is no indirect light coming from the outside of the object. Indirect light within the object is assumed to be negligible, which excludes the use of objects with ....

[Article contains additional citation context not shown here]

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse Global Illumination: Recovering Reflectance Models of Real Scenes From Photographs. In Proc. SIGGRAPH, pages 215--224, August 1999.

....sequence of approximate circular motion, like hand held video sequence around a sculpture. The motion parameters obtained by assuming a circular motion may be used to initialize a full optimization for the true general motion. We would also like to extend the system to recover surface reflectance [8, 20], so as to produce photo realistic 3D models under different lighting conditions. ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In A. Rockwood, editor, Proc. SIGGRAPH 99, Computer Graphics Proceedings, Annual Conference Series, pages 215--224, Los Angeles, California, Aug 1999. Addison Wesley Longman.

....Marschner [17] develop similar techniques which accommodate a more general geometry acquired through laser range scanning. These methods, unlike ours, do not apply to photographs taken in the natural world under complex lighting conditions. The inverse global illumination techniques of Yu et al. [32] handle reflectance estimation without fully specified illumination, but require a collection of photographs representing all surfaces and primary light sources in a scene. This technique iteratively estimates both the illumination and reflectance of every surface patch in the scene. Our approach, ....

....of reflectance and illumination might indeed involve a chrome sphere. Integrating over all possible illuminations would reveal that a more likely reflectance is white matte, because for that reflectance a large number of illuminations produce approximately the observed image. Unlike Yu et al. [32] and Ramamoorthi and Hanrahan [22] we wish to identify the most likely reflectance rather than explaining the observed image data as a single combination of illumination and reflectance. 4 2 1 0 1 2 10 2 10 0 10 2 likelihood amplitude of wavelet coefficient finest scale 2nd finest ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Computer Graphics (SIGGRAPH) , 1999.

....is to keep the data from the view that is closest toorthog#(36 from the sampled area. We do this on a tile by tile basis, where a tile is a 32x32 pixelsubreg#OR of alarg#Q imag#Q Future plans includeusing all of the data to partially reconstruct view dependentlig# depe much like that described in [13]. The result is an environment file suitable for rendering#itable for(R646N(34N44(g#(4U7(4U9(g#g#g#Q(RO7(g detailed in [14] 5 Rendering Current rendering#O7R(g#g#y(R947U(3O75(g#g#g#g#Q(RO7 mapped triang#(UOUR9(3567QR(g#47U(3O75(g#g#g#g#Q(RO7 this section, we describe rendering#75(g#g#g#g#Q(RO ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins, "Inverse Global Illumination:Recovering Reflectance Models of Real Scenes fromPhotog#O(3O44 presented atSig#979(3O4 LosAng#RNUU 1999.

....non interactive algorithms. We build our method on a previous interactive common illumination approach [8] which was restricted in the effects it could treat to virtual objects casting shadows onto recon1 structed real surfaces. Concurrently with this work, two new solutions have been proposed [30, 18]. We discuss how this work relates to these solutions in Section 7.1. Our solution has three main steps. We first reconstruct a 3D representation of a real scene, using advanced visionbased techniques. A hierarchical radiosity system is then initialized in a second preprocess step, to represent ....

....In this case, two passive links shown in green were maintained. The corresponding shaft is outlined in grey. 2. 4 Common illumination in augmented reality The retrieval and simulation of common illumination between virtual and real objects has been treated by several researchers in previous work [28, 19, 31, 16, 4, 12, 8, 30, 22]. All use some form of a 3D representation of the real scene. State et al. 28] use a composition of vision based and magnetic tracking methods for accurate registration of the real environment. Virtual objects are inserted into a real scene and common illumination is performed, with a moving ....

[Article contains additional citation context not shown here]

Yizhou Yu, Paul E. Debevec, Jitendra Malik, and Tim Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In A. Rockwood, editor, SIGGRAPH '99 Conference Proceedings, Annual Conference Series, 1999.

....have non linear optics and response to illumination. They observe not lighting and surfaces separately, but rather the product of illumination and each surface s reflection properties; these are di#cult to disentangle in general (though some powerful approximations have recently been developed [YM98, YDMH99]) The object of interest is generally partially obscured by intervening objects of unknown shape and properties. Thus extracting models involves the challenges of automatic camera calibration; of registering cameras into a common coordinate system; accurate feature detection; of feature tracking ....

....(Figure 8) Intuitively, the consensus texture will take on the di#use color of the (obliquity weighted) majority of observations, in e#ect using multiple observations to see through complex occluding objects such as trees. We do not yet model specular lighting e#ects, though others have done so [YM98, YDMH99]. The algorithm was modified to estimate a weighted occlusion mask for each surface. The consensus texture is derived as before. Each image s occlusion mask is then derived by correlating the consensus texture with the image to produce a value between 0 and 1 corresponding to each source pixel. ....

Yizhou Yu, Paul Debevec, Jitendra Malik, and Tim Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Alyn Rockwood, editor, Proceedings of the Conference on Computer Graphics (Siggraph99), pages 215--224, N.Y., August8--13 1999. ACM Press.

....high geometric complexity and rapid BRDF variation, nor does it provide real time rendering. Inverse rendering is an alternative to generating a surface light field. The goal of these techniques is to estimate the surface BRDF from images and geometric data. Previous work on inverse rendering [28, 33] has assumed that the BRDF is piecewise linear with respect to a coarse triangulation of the surface. Our techniques require no such assumptions, and, of course, inverse rendering does not solve the re rendering problem a non interactive global illumination algorithm is required to produce ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse Global Illumination: Recovering Reflectance Models of Real Scenes From Photographs. In SIGGRAPH 98 Conference Proceedings, Annual Conference Series, pages 215--224, August 1999. 10

....modify real light intensity, insert and move virtual objects, and even remove real objects interactively. Despite inevitable artifacts, the quality of the images is sufficient for the purposes of interactive lighting design and limited remodeling. Independently to our work, Yu, Debevec and Malik [26], have developed more robust techniques for reflectance estimation, including specular effects in particular. These are based on capturing images of the entire scene, and using radiosity to estimate the reflectance using clever iterative methods and high dynamic range images. We believe that our ....

Y. Yu, P.E. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In to appear at SIGGRAPH '99, August 1999.

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YU,Y.,DEBEVEC,P.,MALIK, J., AND HAWKINS, T. Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs. In SIGGRAPH '99 Conference Proceedings, Los Angeles, CA, August 1999, pp. 215--224.

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YU,Y.,DEBEVEC,P.,MALIK, J., AND HAWKINS, T. Inverse global illumination: Recovering reflectance models of real scenes from photographs. Proceedings of SIGGRAPH 99 (August 1999), 215--224.

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YU,Y.,DEBEVEC,P.,MALIK, J., AND HAWKINS, T. Inverse global illumination: Recovering reflectance models of real scenes from photographs. Proceedings of SIGGRAPH 99 (August 1999), 215--224.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs. In Computer Graphics, SIGGRAPH 99 Proceedings, pages 215--224. Los Angeles, CA, August 1999. 2

....where textures are under different stochastic processes with different viewing lighting settings. Our work also shares similarities with previous work on imagebased rendering in that novel images of a real scene are generated from acquired image samples, without [25, 23, 14, 37, 34, 35] or with [11, 33, 31, 32, 44, 43, 42] the knowledge of the scene geometry. In particular, our 6D BTF synthesis problem has a similar spirit as plenoptic modeling where a continuous 5D plenoptic function is synthesized from discrete samples. Note that BTFs are different from surface light fields [39] and view dependent textures [11] ....

....synthesized from discrete samples. Note that BTFs are different from surface light fields [39] and view dependent textures [11] since the latter two only capture surface appearance under fixed lighting conditions. Appearance models from real images have become an active research topic in graphics [31, 32, 24, 44, 43, 10]. 3 Overview For the rest of the paper, a viewing lighting setting means a combination of viewing and lighting directions. The set of input images to our method are called the sample images of a real material. Two factors affect the appearance of bumpy surfaces: the 3D structure of the bumps ....

Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Proc. of SIGGRAPH, pages 215--224, 1999.

....Registration, Texture Mapping, Image Based Modeling, Image Based Rendering, Augmented Reality 1 Introduction Capturing real environments to faithfully recreate them on a computer screen has become an important research area. Most of the work in this field, image based modeling and rendering [27, 6, 32, 47, 28, 18, 11, 41, 40, 42, 45, 51], has focused on static environments that can be viewed from novel viewpoints as well as under novel lighting conditions. However, challenges remain in making modifications to geometric properties, such as the relative position, orientation and size of objects, and photometric properties, such as ....

....large environment due to accessibility and occlusion. Fitting smooth models to local regions seems a promising approach to fill in the missing parts. Some other stages in the pipeline also need improvement. One should be able to recover surface reflectance from photographs using the techniques in [40, 51] to obtain a lighting independent representation of each object. Surface reflectance also gives more information for geometry segmentation and image registration. However, recovering surface reflectance information itself requires segmentation and image registration. So it may be possible to ....

YU,Y.,DEBEVEC,P,MALIK, J., AND HAWKINS, T. Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs In SIGGRAPH 99 (July 1998), pp. 215--224.

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Yu, Y., Debevec, P., Malik, J., and Hawkins, T. 1999. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In SIGGRAPH 99, pages 215--224.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins, Inverse global illumination: Recovering reflectance models of real scenes from photographs, Computer Graphics 33 (1999), no. Annual Conference Series, 215--224.

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Y. Yu, P. DeBevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Computer Graphics, SIGGRAPH 99 Proceedings, pages 215--224, August 1999.

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Y. Yu, P. E. Debevec, J. Malik, and T. Hawkins, "Inverse global illumination: Recovering reflectance models of real scenes from photographs," Proc. SIGGRAPH '99, pp. 215--227, August 1999.

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Y. Yu, P. E. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. Proc. SIGGRAPH '99, pages 215--227, August 1999.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs from. In SIGGRAPH99, pages 215--224.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Proc. of the AMS SIGGRAPH, 1999.

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Y. Yu, P.E. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In SIGGRAPH '99, 1999.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins, "Inverse global illumination: Recovering reflectance models of real scenes from photographs," in Computer Graphics (SIGGRAPH), pp. 215--24, (Los Angeles), 1999.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. SIGGRAPH99 conference proceedings, pages 215--224, 1999.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. Proceedings of SIGGRAPH 99, pages 215--224, August 1999. 8

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: recovering reflectance models of real scenes from photographs. In SIGGRRAPH 99 Conference Proceedings, Annual Conference Series, pages 215--224, 1999.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Proc. ACM SIGGRAPH, 1999.

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Y. Yu, P. DeBevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Computer Graphics, SIGGRAPH 99 Proceedings, pages 215--224, August 1999.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Computer Graphics, SIGGRAPH 99 Proceedings, pages 215--224, Los Angeles, CA, August 1999.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. SIGGRAPH99 conference proceedings, pages 215--224, 1999.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination : Recovering reflectance models of real scenes from photographs. In A. Rockwood, editor, Computer Graphics (Proceedings of SIGGRAPH 99), volume 19, pages 215--224. Addison Wesley Longman, August 1999. 115

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Y. Yu and et al. Inverse global illumination: Recovering reflectance models of real scenes from photogrpahs. In Proc. SIGGRAPH 99, pages 215--224, July 1999.

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Y. Yu, P. DeBevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In Computer Graphics, SIGGRAPH 99 Proceedings, pages 215--224, August 1999.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins, Inverse global illumination: Recovering reflectance models of real scenes from photographs, Computer Graphics 33 (1999), no. Annual Conference Series, 215--224.

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Y. Yu, P. Debevec, J. Malik and T. Hawkins, Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs, ACM Computer Graphics, Proc. of SIGGRAPH 1999, pp.215-224, 1999.

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Yu, Y., P. Debevec, J. Malik, and T. Hawkins, "Inverse Global Illumination: Recovering Reflectance Models of Real Scenes From Photographs," SIGGRAPH 99, August 1999, pp. 215-224.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins. Inverse global illumination: Recovering reflectance models of real scenes from photographs. SIGGRAPH, pages 215--224, August 1999.

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Y. Yu, P. Debevec, J. Malik, and T. Hawkins, "Inverse global illumination: recovering reflectance models of real scenes from photographs," Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH) 99,215--224 (1999).

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Y. Yu, P. Debevec, J. Malik and T. Hawkins, Inverse Global Illumination Recovering Reflectance Models of Real Scenes from Photographs, in Proceedings of ACM SIGGRAPH 99, pages 215-224, 1999

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