Improved Computational Methods for Ray Tracing

Weghorst, Hank; Hooper, G.; Greenberg, Donald P.

doi:10.1145/357332.357335

Cited by 299 publications

(91 citation statements)

References 10 publications

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“…Instead, we implement this as follows: Every voxel in the models Ë Ø and Ë Ø·½ is given a unique ID, which is encoded as a unique´Ö This idea of using color to encode a unique ID for each geometric entity is similar in concept to that of the item buffer, introduced in [Weghorst et al, 1984].…”

Section: Intersection Of Ray With Voxel Modelmentioning

confidence: 99%

Image-based spatio-temporal modeling and view interpolation of dynamic events

Vedula¹,

Baker

Kanade

2005

ACM Trans. Graph.

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Digital photographs and video are exciting inventions that let us capture the visual experience of events around us in a computer and re-live the experience, although in a restrictive manner. Photographs only capture snapshots of a dynamic event, and while video does capture motion, it is recorded from pre-determined positions and consists of images discretely sampled in time, so the timing cannot be changed.This thesis presents an approach for re-rendering a dynamic event from an arbitrary viewpoint with any timing, using images captured from multiple video cameras. The event is modeled as a non-rigidly varying dynamic scene captured by many images from different viewpoints, at discretely sampled times. First, the spatio-temporal geometric properties (shape and instantaneous motion) are computed. Scene flow is introduced as a measure of non-rigid motion and algorithms to compute it, with the scene shape. The novel view synthesis problem is posed as one of recovering corresponding points in the original images, using the shape and scene flow. A reverse mapping algorithm, ray-casting across space and time, is de-

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Section: Intersection Of Ray With Voxel Modelmentioning

confidence: 99%

Image-based spatio-temporal modeling and view interpolation of dynamic events

Vedula¹,

Baker

Kanade

2005

ACM Trans. Graph.

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“…Mask out from w p pixels depicting objects with strong specular properties (i.e., mirrors, transparent and glossy objects). The item buffer [42] of frame s xaP is used to identify pixels representing objects with such properties. Only those specular objects are masked out for which the differences between s H xaP and s HH xaP , as reported in w p , can be readily perceived by the human observer.…”

Section: Derive Two Instances Of the Central In-betweenmentioning

confidence: 99%

“…We assume that walkthrough animation is of high quality, involving complex geometry and global illumination solutions, and, thus, a single frame rendering incurs significant costs (e.g., about 170 minutes in the ATRIUM example chosen as one of the case studies in this research [1]). We also make other reasonable assumptions such as: The animation path and all camera positions are known in advance, ray tracing (or other high quality rendering method) for selected pixels is available, depth (range) data for each pixel is inexpensive to derive for every frame (e.g., using z-buffer), and the object identifiers for each pixel can be easily accessed for every frame (e.g., using item buffer [42]). …”

Section: Introductionmentioning

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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“…Weghort, Hooper and Greenberg [11] brought out an important point concerning an object residing within a bounding volume. The bounding volume should be chosen in such a way that the volume occupied by the object inside the bounding volume should be maximum with respect to the bounding volume itself.…”

Section: The Previous Workmentioning

confidence: 99%

Implementing ray tracing algorithm in parallel environment

Jadi¹

2000

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'Mich a el A. Driscoll l.Cn Ray tracing is a very popular rendering algorithm in the field of computer graphics because it can generate highly-realistic images from three-dimensional models.Unfortunately, the computational cost is very expensive. To speed up the rendering process we present both static and dynamic scheduling (balancing) strategies for a multiprocessor system. Hence, the load balancing among the processors is the most important problem in parallel processing. The implementation of the algorithm is based on a modified octree structure.

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Improved Computational Methods for Ray Tracing

Cited by 299 publications

References 10 publications

Image-based spatio-temporal modeling and view interpolation of dynamic events

Image-based spatio-temporal modeling and view interpolation of dynamic events

Perception-based fast rendering and antialiasing of walkthrough sequences

Implementing ray tracing algorithm in parallel environment

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