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PAPER IDENTIFICATION NUMBER< influence of the pattern size. The quality of displayed image of the IP-based 3D display is mainly influenced by its components, like the manufactured MLA. The intensity after logarithmic scaling of the captured image in frequency domain illustrates the effect of optical apparatus setup to some degree. Although MTF is hard to identify the difference between the image after the optical system and the initial image in frequency domain, the correlation coefficient can be utilized to show the relativity between the initial image and the displayed one in frequency domain. Actually, the MTF as well as the correlation coefficient is easily influenced by brightness of 2D displays, ambient illuminations and the image captured system. In this paper, the brightness of 2D displays and the aperture of the stereo camera are constant and the evaluation process is completed indoors using normal fluorescent lamps for illumination. In the future, the effects of these factors will be taken into consideration. The accuracy of image depth is mainly limited by the gap between MLA and EIA as well as the distortion of manufactured MLA. The ratio can be fitted roughly, despite the error of key points’ spatial positions. Based on evaluation results, the image depth can be rectified using an additional gap. Evaluation errors also stem from the performance of the stereo camera and algorithms for image processing and evaluation. Despite of the potential errors, the proposed evaluation method is corresponding to the theoretical analysis. The evaluation patterns and methods can be adjusted for other 3D autostereoscopic displays, such as holography and volumetric display, since the definitions of the 3D autostereoscopic display parameters are almost the same. For different types of 3D displays, evaluation patterns and methods can be adjusted and extended. Our future works include improvement of the 3D quantitative evaluation system from the following aspects. The relativity among main parameters will be further analyzed and evaluated. Automatic and robust algorithms for image processing and evaluation will be improved. Interference factors in surroundings will also be took into consideration and analyzed. Furthermore, more patterns can be considered to precisely evaluate 3D autostereoscopic displays. V. CONCLUSION In this paper, we presented a standard 3D quantitative evaluation system including a series of 3D evaluation reference patterns and corresponding algorithms. Using IP rendering algorithm, two IP-based 3D autostereoscopic displays with different parameters were fabricated for evaluation experiments. Despite the errors, results of evaluation experiments verified the feasibility and availability of the proposed 3D quantitative evaluation system. Another application experiment using lenticular based 3D autostereoscopic display was also performed to verify the universality of our proposed system. The evaluation reference patterns and corresponding methods can be adopted to evaluate the characters of almost all the 3D autostereoscopic displays, besides IP-based displays and lenticular based displays. Furthermore, the performance of 3D autostereoscopic displays can also be improved under the
11 guidance of evaluation results. The proposed 3D quantitative evaluation methods and system will be beneficial for the design and calibration of 3D autostereoscopic displays. REFERENCES [1] [2] [3]
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