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Volume: 28 | Article ID: art00012
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Real-time Depth Estimation and View Interpolation using Quasar
Bart Goossens
Simon Donné
Jan Aelterman
Jonas De Vylder
Dirk Van Haerenborgh
Wilfried Philips
  DOI :  10.2352/ISSN.2470-1173.2016.19.COIMG-179  Published Online :  February 2016
Abstract

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.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
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 DOI 10.2352/ISSN.2470-1173.2016.19.COIMG-179
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Bart Goossens, Simon Donné, Jan Aelterman, Jonas De Vylder, Dirk Van Haerenborgh, Wilfried Philips, "Real-time Depth Estimation and View Interpolation using Quasar"  in Proc. IS&T Int’l. Symp. on Electronic Imaging: Computational Imaging XIV,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.19.COIMG-179

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Copyright © Society for Imaging Science and Technology 2016
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Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/ISSN.2470-1173.2016.19.COIMG-179
2470-1173(20160214)2016:19L.1;1-
ei_24701173_v2016n19_input/s25.xml
/ist/ei/2016/00002016/00000019/art00012
Articles
Real-time Depth Estimation and View Interpolation using Quasar
GoossensBart
DonnéSimon
AeltermanJan
De VylderJonas
Van HaerenborghDirk
PhilipsWilfried
14022016
2016
19
1
6
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.