Information Extraction of Bionic Camera-Based Polarization Navigation Patterns Under Noisy Weather Conditions

doi:10.1007/s12204-020-2155-6

Journal of Shanghai Jiao Tong University (Science) ›› 2020, Vol. 25 ›› Issue (1): 18-26.doi: 10.1007/s12204-020-2155-6

Information Extraction of Bionic Camera-Based Polarization Navigation Patterns Under Noisy Weather Conditions

AHSAN Muhammad ^a,b, CAI Yunze ^a,b,c* (蔡云泽), ZHANG Weidong ^a,b (张卫东)

(a. Department of Automation; b. Key Laboratory of System Control and Information Processing, Ministry of Education of China; c. Key Laboratory of Marine Intelligent Equipment and System, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai 200240, China)

出版日期:2020-01-15 发布日期:2020-01-12
通讯作者: CAI Yunze (蔡云泽) E-mail:yzcai@sjtu.edu.cn

Information Extraction of Bionic Camera-Based Polarization Navigation Patterns Under Noisy Weather Conditions

AHSAN Muhammad ^a,b, CAI Yunze ^a,b,c* (蔡云泽), ZHANG Weidong^a,b (张卫东)

(a. Department of Automation; b. Key Laboratory of System Control and Information Processing, Ministry of Education of China; c. Key Laboratory of Marine Intelligent Equipment and System, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai 200240, China)

Online:2020-01-15 Published:2020-01-12
Contact: CAI Yunze (蔡云泽) E-mail:yzcai@sjtu.edu.cn

摘要/Abstract

摘要： Light polarization is the phenomenon that describes the oscillations and orientations of the light waves. Polarized light is a source of substantial cue for navigation in many marine and land-dwelling animals. This work investigates the challenges of obtaining information regarding polarization under various conditions by observing the phenomenology of the ommatidium in many insects. Noisy conditions can be because of haze or the presence of clouds in the atmosphere. Aerosol molecules are greater in volume and scale in such atmospheric conditions. When sunlight crosses through these molecules of aerosol, its polarization information is distorted. The distorted pattern has a little or no information on neutral points of light polarization. On the basis of the relationship between wavelength of sunlight and polarization, we propose a novel hue based color mixing (HBCM) model to calculate the polarization information and orientation information more accurately and robustly. This method improves the symmetries of polarization patterns and eliminates the effect of noises. Symmetries of polarization patterns are compared with red, green and blue (RGB) spectrum and these differences are quantified and compared especially under high noisy weather conditions.

关键词: light polarization, ommatidium, aerosols, neutral points, hue based color mixing (HBCM)

Abstract: Light polarization is the phenomenon that describes the oscillations and orientations of the light waves. Polarized light is a source of substantial cue for navigation in many marine and land-dwelling animals. This work investigates the challenges of obtaining information regarding polarization under various conditions by observing the phenomenology of the ommatidium in many insects. Noisy conditions can be because of haze or the presence of clouds in the atmosphere. Aerosol molecules are greater in volume and scale in such atmospheric conditions. When sunlight crosses through these molecules of aerosol, its polarization information is distorted. The distorted pattern has a little or no information on neutral points of light polarization. On the basis of the relationship between wavelength of sunlight and polarization, we propose a novel hue based color mixing (HBCM) model to calculate the polarization information and orientation information more accurately and robustly. This method improves the symmetries of polarization patterns and eliminates the effect of noises. Symmetries of polarization patterns are compared with red, green and blue (RGB) spectrum and these differences are quantified and compared especially under high noisy weather conditions.

Key words: light polarization, ommatidium, aerosols, neutral points, hue based color mixing (HBCM)

中图分类号:

TN 911.73

AHSAN Muhammad, CAI Yunze (蔡云泽), ZHANG Weidong (张卫东). Information Extraction of Bionic Camera-Based Polarization Navigation Patterns Under Noisy Weather Conditions[J]. Journal of Shanghai Jiao Tong University (Science), 2020, 25(1): 18-26.

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Information Extraction of Bionic Camera-Based Polarization Navigation Patterns Under Noisy Weather Conditions

Information Extraction of Bionic Camera-Based Polarization Navigation Patterns Under Noisy Weather Conditions

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