Automatic keystone correction for smart projectors with embedded camera

Baoxin Li, Ibrahim Sezan

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

17 Scopus citations

Abstract

We propose embedded algorithms for enabling a smart self-adjusting projector that is capable of fully automatic keystone distortion detection and correction, plus zooming and centering the image to fit a screen. The projector has an embedded camera and it automatically detects the screen and a specific pattern during self-adjustment. Proposed algorithms meet severe computational requirements of a portable projector and they exploit the physical constraints in a projector-(embedded) camera pair in a novel way in order to not compromise image quality under different usage conditions. We will demonstrate our projector system during the conference.

Original languageEnglish (US)
Title of host publication2004 International Conference on Image Processing, ICIP 2004
Pages2829-2832
Number of pages4
DOIs
StatePublished - Dec 1 2004
Externally publishedYes
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: Oct 18 2004Oct 21 2004

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume4
ISSN (Print)1522-4880

Other

Other2004 International Conference on Image Processing, ICIP 2004
CountrySingapore
Period10/18/0410/21/04

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Li, B., & Sezan, I. (2004). Automatic keystone correction for smart projectors with embedded camera. In 2004 International Conference on Image Processing, ICIP 2004 (pp. 2829-2832). (Proceedings - International Conference on Image Processing, ICIP; Vol. 4). https://doi.org/10.1109/ICIP.2004.1421693