scholarly journals A GENERALIZED NON-LINEAR METHOD FOR DISTORTION CORRECTION AND TOP-DOWN VIEW CONVERSION OF FISH EYE IMAGES

2017 ◽  
Vol 36 (2) ◽  
pp. 143 ◽  
Author(s):  
Vivek Singh Bawa ◽  
Krishan Kumar ◽  
Vinay Kumar
Keyword(s):  
Road Traffic ◽  
Linear Method ◽  
Distortion Correction ◽  
Eye Lens ◽  
Computationally Efficient ◽  
Driver Assistance Systems ◽  
Top Down ◽  
Driving Experience ◽  
Generalized Framework ◽  
Fish Eye

Advanced driver assistance systems (ADAS) have been developed to automate and modify vehicles for safety and better driving experience. Among all computer vision modules in ADAS, 360-degree surround view generation of immediate surroundings of the vehicle is very important, due to application in on-road traffic assistance, parking assistance etc. This paper presents a novel algorithm for fast and computationally efficient transformation of input fisheye images into required top down view. This paper also presents a generalized framework for generating top down view of images captured by cameras with fish-eye lenses mounted on vehicles, irrespective of pitch or tilt angle. The proposed approach comprises of two major steps, viz. correcting the fish-eye lens images to rectilinear images, and generating top-view perspective of the corrected images. The images captured by the fish-eye lens possess barrel distortion, for which a nonlinear and non-iterative method is used. Thereafter, homography is used to obtain top-down view of corrected images. This paper also targets to develop surroundings of the vehicle for wider distortion less field of view and camera perspective independent top down view, with minimum computation cost which is essential due to limited computation power on vehicles.

Radial Distortion Correction of Fish-Eye Lens Using Straight Lines

2013 ◽  
Vol 432 ◽  
pp. 364-367
Author(s):  
Jong Eun Ha
Keyword(s):  
Distortion Correction ◽  
Eye Lens ◽  
Wide Field ◽  
Lens Model ◽  
Radial Distortion ◽  
Straight Line ◽  
Wide Field Of View ◽  
Planar Pattern ◽  
Straight Lines ◽  
Fish Eye

Fish-eye lens is used in various applications because it can give wide field of view. But, it deviates from the conventional pin-hole camera assumption. It has large radial distortion compared to the conventional lens. In this paper, we present an algorithm for radial distortion correction of fish-eye lens using the property of straight line. First, we estimate the center of radial distortion using the algorithm of Hartely and Kang [4]. We adopt fish-eye lens model of Devernay and Faugeras [5] and estimate the parameter thorough searching. We use planar pattern with chessboard and generate undistorted points by given parameter value. We evaluate the correctness of the parameter by checking the distance of a point to the fitted line. In experiments, we compare proposed algorithm with Wang et al. [6]. Proposed algorithm gives more stable result with less distortion error.

Real-time distortion correction of fish-eye lens based on Bayer image signal

2014 ◽  
Vol 21 (2) ◽  
pp. 162-173 ◽  
Author(s):  
Shiming Lai ◽  
Zhihui Xiong ◽  
Lidong Chen ◽  
Xin Tan ◽  
Maojun Zhang
Keyword(s):  
Real Time ◽  
Distortion Correction ◽  
Eye Lens ◽  
Time Distortion ◽  
Fish Eye

scholarly journals Proposed New AV-Type Test-Bed for Accurate and Reliable Fish-Eye Lens Camera Self-Calibration

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2776
Author(s):  
Kang Hyeok Choi ◽  
Changjae Kim
Keyword(s):  
Outer Part ◽  
Calibration Procedure ◽  
Geometric Distortion ◽  
Eye Lens ◽  
Wide Field ◽  
Test Bed ◽  
Self Calibration ◽  
Type Test ◽  
Balanced Distribution ◽  
Fish Eye

The fish-eye lens camera has a wide field of view that makes it effective for various applications and sensor systems. However, it incurs strong geometric distortion in the image due to compressive recording of the outer part of the image. Such distortion must be interpreted accurately through a self-calibration procedure. This paper proposes a new type of test-bed (the AV-type test-bed) that can effect a balanced distribution of image points and a low level of correlation between orientation parameters. The effectiveness of the proposed test-bed in the process of camera self-calibration was verified through the analysis of experimental results from both a simulation and real datasets. In the simulation experiments, the self-calibration procedures were performed using the proposed test-bed, four different projection models, and five different datasets. For all of the cases, the Root Mean Square residuals (RMS-residuals) of the experiments were lower than one-half pixel. The real experiments, meanwhile, were carried out using two different cameras and five different datasets. These results showed high levels of calibration accuracy (i.e., lower than the minimum value of RMS-residuals: 0.39 pixels). Based on the above analyses, we were able to verify the effectiveness of the proposed AV-type test-bed in the process of camera self-calibration.

scholarly journals Estimating Sunlight Polarization Using a Fish-eye Lens

2009 ◽  
Vol 1 ◽  
pp. 288-300 ◽  
Author(s):  
Daisuke Miyazaki ◽  
Mahdi Ammar ◽  
Rei Kawakami ◽  
Katsushi Ikeuchi
Keyword(s):  
Eye Lens ◽  
Fish Eye

scholarly journals Partial Maxwell fish-eye lens inspired by Gutman lens and Eaton lens for wide-angle beam scanning

2021 ◽  
Author(s):  
Yong Liu ◽  
Hongda Lu ◽  
Zhipeng Liu ◽  
Yanbo Zhang ◽  
Ke Pang
Keyword(s):  
Eye Lens ◽  
Wide Angle ◽  
Beam Scanning ◽  
Fish Eye

scholarly journals Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yongqing Guo ◽  
Xiaoyuan Wang ◽  
Qing Xu ◽  
Quan Yuan ◽  
Chenglin Bai ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Warning System ◽  
Actual State ◽  
Ecg Signal ◽  
Test Analysis ◽  
Driving Experience ◽  
Road Traffic Safety ◽  
Different Types ◽  
Unpleasant Feeling

Anxiety is a complex emotion characterized by an unpleasant feeling of tension when people anticipate a threat or negative consequence. It is regarded as a comprehensive reflection of human thought processes, physiological arousal, and external stimuli. The actual state of emotion can be represented objectively by human physiological signals. This study aims to analyze the differences of ECG (electrocardiogram) characteristics for various types of drivers under anxiety. We used several methods to induce drivers’ mood states (calm and anxiety) and then conducted the real and virtual driving experiments to collect driver’s ECG signal data. Physiological changes in ECG during the experiments were recorded using the PSYLAB software. The independent sample t-test analysis was conducted to determine if there are significant differences in ECG characteristics for different types of drivers in anxious state during driving. The results show that there are significant differences in ECG signal characteristics of drivers by gender, age, and driving experience, in time domain, frequency domain, and waveform under anxiety. Our findings of this study contribute to the development of more intelligent and personalized driver warning system, which could improve road traffic safety.

A Panoramic Video Monitoring System Using Low-Altitude UAV Based on Fish-Eye Lens

2013 ◽  
Vol 341-342 ◽  
pp. 1128-1132
Author(s):  
Zi Ming Xiong ◽  
Ke Li ◽  
Yang Ding ◽  
Gang Wan ◽  
Jin Min Liao
Keyword(s):  
Monitoring System ◽  
Distortion Correction ◽  
Video Data ◽  
Video Monitoring ◽  
Monitoring Method ◽  
Time Dynamic ◽  
Panoramic Video ◽  
Data Source ◽  
Low Altitude ◽  
Fish Eye

This paper uses the panoramic video data obtained by the UAV as data source, constructs low-altitude Panoramic Video Monitoring System based on eye-fish lens, and provides a new monitoring method which is real-time, dynamic, continuous, extensive and measurable by making a breakthrough in some key technologies, such as, distortion correction of eye-fish, geo-location based on panoramic video and projection transformation.

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