Lazy decompression of surface light fields for precomputed global illumination

Miller, Gavin; Rubin, Steven M.; Ponceleón, Dulce

doi:10.1007/978-3-7091-6453-2_26

Cited by 107 publications

(78 citation statements)

References 13 publications

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“…2). Function is also known as the surface light field [19] or surface POF [8]. Then, using (1) and under the no self-occlusion assumption, we have where…”

Section: Scene and Camera Modelsmentioning

confidence: 99%

On the Bandwidth of the Plenoptic Function

Minh

Marchand-Maillet

Vetterli

2012

IEEE Trans. on Image Process.

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Abstract-The plenoptic function (POF) provides a powerful conceptual tool for describing a number of problems in image/video processing, vision, and graphics. For example, image-based rendering is shown as sampling and interpolation of the POF. In such applications, it is important to characterize the bandwidth of the POF. We study a simple but representative model of the scene where band-limited signals (e.g., texture images) are "painted" on smooth surfaces (e.g., of objects or walls). We show that, in general, the POF is not band limited unless the surfaces are flat. We then derive simple rules to estimate the essential bandwidth of the POF for this model. Our analysis reveals that, in addition to the maximum and minimum depths and the maximum frequency of painted signals, the bandwidth of the POF also depends on the maximum surface slope. With a unifying formalism based on multidimensional signal processing, we can verify several key results in POF processing, such as induced filtering in space and depth-corrected interpolation, and quantify the necessary sampling rates.

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“…2). Function is also known as the surface light field [19] or surface POF [8]. Then, using (1) and under the no self-occlusion assumption, we have where…”

Section: Scene and Camera Modelsmentioning

confidence: 99%

On the Bandwidth of the Plenoptic Function

Minh

Marchand-Maillet

Vetterli

2012

IEEE Trans. on Image Process.

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“…Existing IBR methods require costly preprocessing to obtain specular effects of good quality [13,9,19,14]. For example, a huge number of pre-calculated images is needed to obtain crisp mirror reflections.…”

Section: Static Environmentswalkthrough Animationmentioning

confidence: 99%

Perception-based global illumination, rendering, and animation techniques

Myszkowski

2002

Proceedings of the 18th Spring Conference on Computer Graphics

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In this paper, we consider applications of perceptionbased video quality metrics to improve the performance of global lighting computations and rendering of animation sequences. To control the computation of animation frames we use the Animation Quality Metric (AQM) which is an extended version of the Visible Difference Predictor (VDP) developed by Daly. We show two applications of the AQM: (1) the rendering of high-quality walkthroughs for static environments and (2) the computation of global illumination for dynamic environments.To improve the rendering performance of our walkthrough solution we use a hybrid of the ray tracing and Image-Based Rendering (IBR) techniques. In our rendering solution we derive as many pixels as possible using inexpensive IBR techniques without affecting the animation quality. The AQM is used to automatically guide such a hybrid rendering.Also, we present a method for efficient global illumination computation in dynamic environments by taking advantage of temporal coherence of lighting distribution. The method is embedded in the framework of stochastic photon tracing and density estimation techniques. The AQM is used to keep noise inherent in stochastic methods below the sensitivity level of the human observer. As a result a perceptually-consistent quality across all animation frames is obtained. Furthermore, the computation cost is reduced compared to the traditional approaches operating solely in the spatial domain.

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“…These algorithms involved costly procedures for cleaning up image artifacts such as gaps between pixels (resulting from stretching samples reprojected from keyframes to in-between frames) and occlusion (visibility) errors. Recently developed IBR techniques solve these problems more efficiently and are the usual choice in applications requiring free camera motion within an environment [32], [21], [26]. In our walkthrough applications, having a predefined animation path, even less general solutions are required because the camera motion is limited [24].…”

Section: In-between Frame Generationmentioning

confidence: 99%

“…In existing IBR methods, handling of nondiffuse reflectance functions requires very costly preprocessing to derive images of good quality. For example, a huge number of images is needed to obtain crisp mirror reflections [26], [21]. Because of these problems, we decided to use ray tracing for pixels depicting objects with strong specular or transparent properties.…”

Section: Quality Problems With In-between Framesmentioning

confidence: 99%

Perception-based fast rendering and antialiasing of walkthrough sequences

Rokita

Tawara

2000

IEEE Trans. Visual. Comput. Graphics

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AbstractÐIn this paper, we consider accelerated rendering of high quality walkthrough animation sequences along predefined paths. To improve rendering performance, we use a combination of a hybrid ray tracing and Image-Based Rendering (IBR) technique and a novel perception-based antialiasing technique. In our rendering solution, we derive as many pixels as possible using inexpensive IBR techniques without affecting the animation quality. A perception-based spatiotemporal Animation Quality Metric (AQM) is used to automatically guide such a hybrid rendering. The Image Flow (IF) obtained as a byproduct of the IBR computation is an integral part of the AQM. The final animation quality is enhanced by an efficient spatiotemporal antialiasing which utilizes the IF to perform a motioncompensated filtering. The filter parameters have been tuned using the AQM predictions of animation quality as perceived by the human observer. These parameters adapt locally to the visual pattern velocity.

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Lazy decompression of surface light fields for precomputed global illumination

Cited by 107 publications

References 13 publications

On the Bandwidth of the Plenoptic Function

On the Bandwidth of the Plenoptic Function

Perception-based global illumination, rendering, and animation techniques

Perception-based fast rendering and antialiasing of walkthrough sequences

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