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