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
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;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1421693