Optimizing Ray Tracing with Visual Coherence

Abstract

We present a method that directs sampling and reconstruction for image generation. This method reduces the cost of the sampling stage, allows a reconstruction of the scene to be progressively refined during the sampling process, and produces a representation of the scene that permits flexibility in the generation of images. The method employs a set of region estimators to model and evaluate the samples that are taken of the image. These models describe coherent regions of the image plane. The region estimators are used to direct the sampling process and to provide a description of the scene for reconstruction. The use of region estimators removes the dependence of the reconstruction process upon the sampling process by providing a compact and accurate representation of the sampled data. This representation permits the resolution and filter kernel to be chosen at reconstruction. An algorithm is presented to perform this reconstruction efficiently.

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Document Details

Document Type
Technical Report
Publication Date
Dec 08, 1993
Accession Number
ADA275218

Entities

People

  • Nathan Loofbourrow
  • Steven Arthur Shafer

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computer Graphics
  • Computer Science
  • Computer Vision
  • Demographic Cohorts
  • Equations
  • Estimators
  • Filters
  • Gray Scale
  • Information Science
  • Integrals
  • Intensity
  • Polynomials
  • Ray Tracing
  • Sampling
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Computer Vision.