DocumentCode :
3046275
Title :
Automatic keystone correction for smart projectors with embedded camera
Author :
Li, Baoxin ; Sezan, Ibrahim
Author_Institution :
Sharp Lab. of America Inc., Camas, WA, USA
Volume :
4
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
2829
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.
Keywords :
CMOS image sensors; cameras; constraint theory; image processing; optical projectors; automatic keystone distortion correction-detection; embedded camera; physical constraint; smart self-adjusting projector; Computer vision; Costs; Home appliances; Image quality; Laboratories; Optical distortion; Optical imaging; Physics computing; Portable computers; Smart cameras;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-8554-3
Type :
conf
DOI :
10.1109/ICIP.2004.1421693
Filename :
1421693
Link To Document :
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