DocumentCode
3003612
Title
Catadioptric projectors
Author
Yuanyuan Ding ; Jing Xiao ; Kar-Han Tan ; Jingyi Yu
Author_Institution
Univ. of Delaware, Newark, DE, USA
fYear
2009
fDate
20-25 June 2009
Firstpage
2528
Lastpage
2535
Abstract
We present a catadioptric projector analogous to a catadioptric camera by combining a commodity digital projector with additional optical units. We show that, by using specially shaped reflectors/refractors, catadioptric projectors can offer an unprecedented level of flexibility in aspect ratio, size, and field of view. We also present efficient algorithms to reduce projection artifacts in catadioptric projectors, such as distortions, scattering, and defocusing. Instead of recovering the reflector/refractor geometry, our approach directly models the light transport between the projector and the viewpoint using the light transport matrix (LTM). We show how to efficiently approximate the pseudo inverse of the LTM and apply it to find the optimal input image that produces least projection distortions. Furthermore, we present a projection defocus analysis for reflector and thin refractor based catadioptric projectors. We show that defocus blur can be interpreted as spatially-varying Gaussian blurs on the input image. We then measure the kernels directly from the LTM and apply deconvolution to optimize the input image. We demonstrate the practical uses of catadioptric projectors in panoramic and omni-directional projections. Our new system achieves much wider field-of-view projection while maintaining sharpness and low geometric and photometric distortions.
Keywords
display instrumentation; light refraction; matrix algebra; optical projectors; catadioptric camera; catadioptric projectors; deconvolution; digital projector; field-of-view projection; geometric distortion; least projection distortion; light transport matrix; omnidirectional projection; optical units; panoramic projection; photometric distortion; projection artifacts; projection defocus analysis; reflector geometry; refractor geometry; spatially-varying Gaussian blurs; specially shaped reflectors; specially shaped refractors; thin refractor; Digital cameras; Distortion measurement; Geometry; Light scattering; Optical distortion; Optical refraction; Optical scattering; Optical variables control; Predistortion; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
Conference_Location
Miami, FL
ISSN
1063-6919
Print_ISBN
978-1-4244-3992-8
Type
conf
DOI
10.1109/CVPR.2009.5206622
Filename
5206622
Link To Document