Proceedings ArticleDOI
Rendering synthetic objects into real scenes: bridging traditional and image-based graphics with global illumination and high dynamic range photography
Paul Debevec
- Vol. 1998, pp 189-198
TLDR
A method that uses measured scene radiance and global illumination in order to add new objects to light-based models with correct lighting and the relevance of the technique to recovering surface reflectance properties in uncontrolled lighting situations is discussed.Abstract:
We present a method that uses measured scene radiance and global illumination in order to add new objects to light-based models with correct lighting. The method uses a high dynamic range image-based model of the scene, rather than synthetic light sources, to illuminate the new objects. To compute the illumination, the scene is considered as three components: the distant scene, the local scene, and the synthetic objects. The distant scene is assumed to be photometrically unaffected by the objects, obviating the need for reflectance model information. The local scene is endowed with estimated reflectance model information so that it can catch shadows and receive reflected light from the new objects. Renderings are created with a standard global illumination method by simulating the interaction of light amongst the three components. A differential rendering technique allows for good results to be obtained when only an estimate of the local scene reflectance properties is known.We apply the general method to the problem of rendering synthetic objects into real scenes. The light-based model is constructed from an approximate geometric model of the scene and by using a light probe to measure the incident illumination at the location of the synthetic objects. The global illumination solution is then composited into a photograph of the scene using the differential rendering technique. We conclude by discussing the relevance of the technique to recovering surface reflectance properties in uncontrolled lighting situations. Applications of the method include visual effects, interior design, and architectural visualization.read more
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Object Perception as Bayesian Inference
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Acquiring the reflectance field of a human face
TL;DR: A method to acquire the reflectance field of a human face and use these measurements to render the face under arbitrary changes in lighting and viewpoint and demonstrates the technique with synthetic renderings of a person's face under novel illumination and viewpoints.
Proceedings ArticleDOI
Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments
TL;DR: A new, real-time method for rendering diffuse and glossy objects in low-frequency lighting environments that captures soft shadows, interreflections, and caustics and introduces functions for radiance transfer from a dynamic lighting environment through a preprocessed object to neighboring points in space.
References
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Marc Levoy,Pat Hanrahan +1 more
TL;DR: This paper describes a sampled representation for light fields that allows for both efficient creation and display of inward and outward looking views, and describes a compression system that is able to compress the light fields generated by more than a factor of 100:1 with very little loss of fidelity.
Proceedings ArticleDOI
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Proceedings ArticleDOI
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TL;DR: A new method for capturing the complete appearance of both synthetic and real world objects and scenes, representing this information, and then using this representation to render images of the object from new camera positions.
Proceedings ArticleDOI
Recovering high dynamic range radiance maps from photographs
Paul Debevec,Jitendra Malik +1 more
TL;DR: This work discusses how this work is applicable in many areas of computer graphics involving digitized photographs, including image-based modeling, image compositing, and image processing, and demonstrates a few applications of having high dynamic range radiance maps.
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Yang Chen,Gerard Medioni +1 more
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