Registration Error Analysis for Microlens Array and Photosonser in Light Field Camera

Yan, 袁艳 Yuan; Yu, 周宇 Zhou; Huang-hua, 胡煌华 Hu

doi:10.3788/gzxb20103901.0123

Cited by 5 publications

(2 citation statements)

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“…Many methods are used to solve the recognition problem of distorted targets. Currently, there are many variants of synthetic discriminant function (SDF) filter, such as minimum variance synthetic discriminant function (MVSDF) filter, minimum average correlation energy (MACE) filter and MACH filter [2].…”

Section: Introductionmentioning

confidence: 99%

Spatial Distorted Target Recognition Based on Improved Maximum Average Correlation Height Algorithm

Liu

Chen

2014

AMM

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Spatial distorted target is very hard to be recognized for complexity and variety of targets, which has restricted the development of pattern recognition technology to a great extent. Joint transform correlator is one of the key equipments to detect and recognize distorted targets. The appearance and development of maximum average correlation height (MACH) algorithm is introduced in this paper. Based on the principle the algorithm and experimental analysis, an improved maximum average correlation height algorithm fit for joint transform correlator is proposed, which has powerful capability of suppressing background noise and widening distortion tolerance. Target images with different shapes including scale or angular distortion constitute MACH filter in frequency domain, which is projected to space domain as reference template including varieties of attitude. To show the feasibility of the algorithm, an airplane with angular distortion in sky is processed by MACH filter as an example. Simulation and optical experimental results are given in this paper. The experiments show the angular distortion tolerance can reach up to 15 degrees. The actual effect of the improved MACH filter algorithm is confirmed very well.

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Section: Introductionmentioning

confidence: 99%

Spatial Distorted Target Recognition Based on Improved Maximum Average Correlation Height Algorithm

Liu

Chen

2014

AMM

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“…The optical experimental results show a pair of bright correlation peaks appears in the second quadrant and the fourth quadrant. From the location of this pair of correlation peaks, we can know target location relative to a known reference template.From the comparison of Fig (2). and Fig.…”

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confidence: 99%

Target Recognition Technology Based on Wavelet Transform

Song²,

Huo

2014

AMM

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Hybrid optoelectronic joint transform correlator is a very effecitve tool to recognize a target, which has important application in military and industry field. However, in actual applications, under some situations, such as complex target background or insufficient contour information etc., the intensity of correlation peaks will be weak. Sometimes, the weak intensity of correlation peaks can not be recognized by joint transform correlator. Wavelet transform is adopted to process the joint target image. The principles of joint transform correlator and wavelet transform are given in this paper. As an actual example, a tank target is adopted to test the feasibility and effectiveness of this method. From computer simulation, we can get good experimental effect. After wavelet transform of joint target image, the intensity of correlation peaks has been increased obviously. Optical experiments confirm the feasibility and effectiveness of this method further. Amounts of experiments prove wavelet transform can extract the target contour effectively. Based on the principle of the proposed algorithm, the target recognizing rate can be increased to a higher level.

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Microlens assembly error analysis for light field camera based on Monte Carlo method

Yuan

Zhang

et al. 2016

Optics Communications

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Registration Error Analysis for Microlens Array and Photosonser in Light Field Camera

Cited by 5 publications

References 0 publications

Spatial Distorted Target Recognition Based on Improved Maximum Average Correlation Height Algorithm

Spatial Distorted Target Recognition Based on Improved Maximum Average Correlation Height Algorithm

Target Recognition Technology Based on Wavelet Transform

Microlens assembly error analysis for light field camera based on Monte Carlo method

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