An Accelerated CPU Based Ray Tracer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ray Tracing is the essential approach to estimate the global illumination during the process of rendering some real scenarios. The process of ray tracing is computationally intensive since the involvement of real world scenes. Due to this, the quality of rendered images is always inversely proportional to the execution time. The provision of high quality rendered images in the less computational time is the motive for the present article. The control on the light rays’ depth that are released from the eye source to the objects found in the scene is the one possible solution to achieve better speeds. To improvise the quality of images and to reduce the computational time, in this work, the concept of POSIX threads have been used at process level that parallelize the operation. An effort has been made to introduce the novel algorithm that finds the principle intersection among the objects found in the scene and the light rays. As a result, the combinational hybrid model has been designed in order to reduce the computational time and to improvise the quality of rendered images. Moreover, the comparison has been made with the state-of-art approach and the proposed approach outperforms when compared to it.

Original languageEnglish
Title of host publication11th INDIACom; 4th International Conference on "Computing for Sustainable Global Development", INDIACom 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5392-5396
Number of pages5
ISBN (Electronic)9789380544243
Publication statusPublished - 2017
Event11th INDIACom; 4th International Conference on Computing for Sustainable Global Development, INDIACom 2017 - New Delhi, India
Duration: 01-03-201703-03-2017

Publication series

Name11th INDIACom; 4th International Conference on "Computing for Sustainable Global Development", INDIACom 2017

Conference

Conference11th INDIACom; 4th International Conference on Computing for Sustainable Global Development, INDIACom 2017
Country/TerritoryIndia
CityNew Delhi
Period01-03-1703-03-17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality

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