Validation of Calibration Method for Fish-eye Lens using Equiangular Markers : ∼ Aiming for Remote Car Driving ∼

The fish-eye lens camera offers the advantage of efficient acquisition of image data through a wide field of view. However, unlike the popular perspective projection camera, a strong distortion effect appears as the periphery of the image is compressed. Such characteristics must be precisely analyzed through camera self-calibration. In this study, we carried out a fish-eye lens camera self-calibration while considering different types of test objects and projection models. Self-calibration was performed using the V-, A-, Plane-, and Room-type test objects. In the fish-eye lens camera, the V-type test object was the most advantageous for ensuring the accuracy of the principal point coordinates and focal length, because the correlations between parameters were relatively low. On the other hand, the other test objects were advantageous for ensuring the accuracy of distortion parameters because of the well-distributed image points. Based on the above analysis, we proposed, an accurate fish-eye lens camera self-calibration method that applies the V-type test object. The RMS-residuals of the proposed method were less than 1 pixel.

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Study the Fisheye Staring Video Surveillance System of nothing Blind-Zone Based on the DaVinci Chip

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.846-847.574 ◽

2013 ◽

Vol 846-847 ◽

pp. 574-577

Author(s):

Jian Hui Wu ◽

Guo Yun Zhang ◽

Long Yuan Guo ◽

Shuai Yuan

Keyword(s):

Video Surveillance ◽

Surveillance System ◽

Imaging System ◽

Calibration Method ◽

Eye Lens ◽

Video Surveillance System ◽

Blind Zone ◽

Hardware System ◽

Imagery Processing ◽

Fish Eye

A staring and nothing blind-zone video surveillance system was designed based on the DSP chip of TMS320DM6467 and the fish-eye lens which has ultra-view field. This fisheye lens has 185 degree field of view, and make the system has 360 degree panorama and nothing blind-zone monitoring which used two fish-eye lens imaging system. Firstly, this paper designed the panorama imaging system, and then studied the calibration method for it. The hardware system used the multimedia imagery processing chip of TMS320DM6467 which has dual core processor and can processing the fish-eye image real time. The experiment shows the fisheye image had 360 degree sphere with nothing blind-zone for surveillance area and the hardware of processing center can work stable. This system can intelligent surveillance when upload the algorithm.

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

Sensors ◽

10.3390/s21082776 ◽

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.

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Estimating Sunlight Polarization Using a Fish-eye Lens

IPSJ Transactions on Computer Vision and Applications ◽

10.2197/ipsjtcva.1.288 ◽

2009 ◽

Vol 1 ◽

pp. 288-300 ◽

Cited By ~ 19

Author(s):

Daisuke Miyazaki ◽

Mahdi Ammar ◽

Rei Kawakami ◽

Katsushi Ikeuchi

Keyword(s):

Eye Lens ◽

Fish Eye

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

Optics Express ◽

10.1364/oe.426539 ◽

2021 ◽

Author(s):

Yong Liu ◽

Hongda Lu ◽

Zhipeng Liu ◽

Yanbo Zhang ◽

Ke Pang

Keyword(s):

Eye Lens ◽

Wide Angle ◽

Beam Scanning ◽

Fish Eye

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Simple fish-eye calibration method with accuracy evaluation

ELCVIA Electronic Letters on Computer Vision and Image Analysis ◽

10.5565/rev/elcvia.396 ◽

2011 ◽

Vol 10 (1) ◽

pp. 54 ◽

Cited By ~ 3

Author(s):

Ciaran Hughes ◽

Martin Glavin ◽

Edward Jones

Keyword(s):

Calibration Method ◽

Accuracy Evaluation ◽

Fish Eye

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

Image Analysis & Stereology ◽

10.5566/ias.1660 ◽

2017 ◽

Vol 36 (2) ◽

pp. 143 ◽

Cited By ~ 2

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.

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