Back to articles
Volume: 28 | Article ID: art00012
Real-time Depth Estimation and View Interpolation using Quasar
  DOI :  10.2352/ISSN.2470-1173.2016.19.COIMG-179  Published OnlineFebruary 2016

In this paper, we first present a new programming framework, Quasar, for high-level programming on heterogeneous CPU and single/multi-GPU systems. Quasar consists of a high-level language, a corresponding integrated development environment (IDE), a compiler, and a run-time system. Its aim is to relieve the programmer from hardware-related implementation issues that commonly occur in CPU/GPU programming. Examples include selecting memory types, memory management, concurrent kernel/function execution, hardware texturing units, etc. In doing so Quasar allows the programmer to focus on designing, testing and improving the image/video processing algorithms themselves, rather than their implementation. A practical application of this programming framework is presented: a new real-time multicamera depth estimation algorithm and subsequent view interpolation. Currently, for view interpolation, we obtain a processing speed of 30 frames/sec for HD video based on two views with Quasar on an NVIDIA Geforce GTX 770 GPU.

Subject Areas :
Views 22
Downloads 1
 articleview.views 22
 articleview.downloads 1
  Cite this article 

Bart Goossens, Simon Donné, Jan Aelterman, Jonas De Vylder, Dirk Van Haerenborgh, Wilfried Philips, "Real-time Depth Estimation and View Interpolation using Quasarin Proc. IS&T Int’l. Symp. on Electronic Imaging: Computational Imaging XIV,  2016,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
Electronic Imaging
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA