Scribble2focus: An interactive photo refocusing system based on mobile stereo imaging

Dung T. Vu, Benjamin Chidester, Jiangbo Lu, Minh N. Do

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

Abstract

This paper proposes a novel, depth-based image refocusing system for mobile devices equipped with stereo cameras, called Scribble2focus. The system provides a simple and intuitive interface, which allows the user to refocus the image by indicating an object of interest with a simple finger stroke. A stereo matching algorithm based on a Minimum Spanning Tree approach is proposed to infer depth from images from the stereo cameras. Using the depth information and a thin lens model, input all-focus images are synthetically refocused. Experiments show that the proposed system produces quality refocusing results with minimal computational requirements. The system requires only around 1.5 seconds to process a pair of 640×360 images in the off-line step, making it possible for future deployment on a mobile device.

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages755-758
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
CountryUnited States
CityAustin, TX
Period12/3/1312/5/13

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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