An ultrashort throw ratio projection lens design based on a catadioptric structure

Wang, Hsiu Cheng; Pan, Jui-Wen

doi:10.1080/09500340.2018.1438674

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Consequently, complex lens design and optimization processes have been applied to correct for these geometric aberrations . Additionally, the fabrication of these devices is costly, preventing these ultrashort throw projectors from being widely used …”

Section: Introductionmentioning

confidence: 99%

“…3,4 Additionally, the fabrication of these devices is costly, preventing these ultrashort throw projectors from being widely used. 5 One of the state-of-the-art ultrashort throw projectors is a laser scanning projector, which employs a MEMS laser scanner as the key component ( Figure 1). By modulating the biaxial scanning mirror, the projection image is "drawn" onto the screen pixelwise.…”

Section: Introductionmentioning

confidence: 99%

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Development of a parameterization image stitching algorithm for ultrashort throw laser MEMS projectors

Cui

Gao

2019

J Soc Info Display

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We present a novel design of a parameterization image stitching algorithm for ultrashort throw laser MEMS projectors. The resultant method allows the use of projectors with short or even long throw ratios to achieve ultrashort throw projection through a parameterized algorithm to stitch multiple images into one single frame, alleviating the trade‐off between the resolution and frame rate in conventional laser MEMS displays. To evaluate the effectiveness, we construct a test system that consists of three off‐the‐shelf projectors with a throw ratio of 1.3 and three planar reflective mirrors. Using our method, the integrated system yields an ultrashort throw ratio of 0.26, greatly reducing the projection distance from 12 to 2.6 ft for the 120‐in. screen in diagonal. Moreover, our algorithm can be fine‐tuned to correct for image distortion, intensity variation, and edge mismatch induced by two‐axis light beam steering, thereby further improving the image quality.

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Section: Introductionmentioning

confidence: 99%