A Novel Approach for Determining Intrinsic Parameters of Camera Using Two Parallelograms

Abstract

Abstract:

Abstract： According to the relationship between crossratio and angle, a novel linear approach was proposed to determine the intrinsic parameters of the camera. The image coordinates of the two circular points were derived from two different methods concerning the images of two parallelograms using the Laguerre theorem and the invariance of crossratio. Then the intrinsic parameters of the camera are linearly calibrated from three images of parallelograms according to the circular points which are in the absolute conic(AC). Compared with the calibration method based on rectangles, this approach further weakens the required conditions. Therefore, it has a wide applicability. Extensive simulations and experimental results with real images show that the proposed approach is practicable.

Key words: computer vision； camera intrinsic parameter； parallelogram； calibration； cross-ratio invariance

CLC Number:

TP 391

WANG Xiuping1,2,BAI Ruilin1,LIU Ziteng1. A Novel Approach for Determining Intrinsic Parameters of Camera Using Two Parallelograms[J]. Journal of Shanghai Jiaotong University, 2015, 49(03): 366-370.

[1]	BAI Xiongfei, GONG Shuicheng, LI Xuesong, XU Bo, YANG Xiaoli, WANG Mingyan. Defect Classification of Weld Metallographic Structure Based on Data Augmentation of Poisson Fusion [J]. Journal of Shanghai Jiao Tong University, 2023, 57(10): 1316-1328.
[2]	GAO Tao, WEN Yuanbo, CHEN Ting, ZHANG Jing. A Single Image Deraining Algorithm Based on Swin Transformer [J]. Journal of Shanghai Jiao Tong University, 2023, 57(5): 613-623.
[3]	QIAN Peng, WANG Guoliang, ZHU Wenfeng. Modeling and Optimization of 3D Assembly Tolerance for Window Lifting Under Flexible Deformation [J]. Journal of Shanghai Jiaotong University, 2020, 54(11): 1134-1141.
[4]	BAO Qinglin, CHAI Huaqi, ZHAO Songzheng, WANG Jilin. Model of Technology Opportunity Mining Using Machine Learning Algorithm and Its Application [J]. Journal of Shanghai Jiaotong University, 2020, 54(7): 705-717.
[5]	LI Baihe, JIANG Zuhua, TAO Ningrong, MENG Lingtong, ZHENG Hong. Ship Block Transportation Scheduling Considering Cooperative Transportation of Flatcars [J]. Journal of Shanghai Jiaotong University, 2020, 54(7): 718-727.
[6]	MA Zhonghang, ZHANG Zhinan. Design and Realization of a Versatile Simulation Platform for Telecontrol Multi-Rotor Unmanned Aerial Vehicle with a Robotic Arm [J]. Journal of Shanghai Jiaotong University, 2020, 54(6): 636-642.
[7]	MENG Lingtong, JIANG Zuhua, TAO Ningrong, LIU Jianfeng, ZHENG Hong. Multi-Stockyard Scheduling Considering Technological Process and Combined Assembly Block [J]. Journal of Shanghai Jiao Tong University, 2020, 54(4): 331-343.
[8]	ZHANG Jie,ZHAO Xinming,ZHANG Peng,SHENG Xia,CHAO Xiaona,TIAN Fengxiang. Early Warning Method for Tardiness Precaution Oriented to Rocket Final Assembly Process [J]. Journal of Shanghai Jiaotong University, 2020, 54(3): 322-330.
[9]	SUN Mingyang,YAN Guozheng,LIU Dasheng,WANG Zhiwu,HAN Ding,ZHAO Kai,YANG Lei. High Accuracy Ultra Wideband Real Time Location System for Drug Rehabilitation Center [J]. Journal of Shanghai Jiaotong University, 2020, 54(1): 76-84.
[10]	ZHANG Yungang,YANG Jianfeng,YI Benshun. Improved Residual Encoder-Decoder Network for Low-Dose CT Image Denoising [J]. Journal of Shanghai Jiaotong University, 2019, 53(8): 983-989.
[11]	WANG Hongyu,YIN Wurong,WANG Liang,HU Jianghao,QIAO Wenchao. Fast Edge Extraction Algorithm Based on HSV Color Space [J]. Journal of Shanghai Jiaotong University, 2019, 53(7): 765-772.
[12]	ZHOU Binghai,LIU Wenlong. Multi-Objective Hybrid Flow-Shop Scheduling Problem Considering Energy Consumption and On-Time Delivery [J]. Journal of Shanghai Jiaotong University, 2019, 53(7): 773-779.
[13]	MENG Lingtong,JIANG Zuhua,TAO Ningrong,LIU Jianfeng,LI Baihe. Combined Assembly Block Scheduling in Storage Yard of Shipbuilding [J]. Journal of Shanghai Jiaotong University, 2019, 53(7): 780-788.
[14]	JIANG Xudong，LI Pengfei，LIU Zheng，TENG Xiaoyan. Arterial Injury Assessment by Computational Interaction Model of Shear Thinning Blood with Expanded Stenotic Vascular [J]. Journal of Shanghai Jiaotong University, 2019, 53(6): 757-764.
[15]	TANG Ran,ZHAO Yingxin,WU Hong. Automatic Identification System Signal Detection Algorithm Based on Improved Feedback Decision [J]. Journal of Shanghai Jiaotong University, 2019, 53(5): 610-615.

A Novel Approach for Determining Intrinsic Parameters of Camera Using Two Parallelograms

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments