A semi-automatic camera calibration method for augmented reality

Author(s):  
Zonglei Huang ◽  
B. Boufama
Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4643
Author(s):  
Sang Jun Lee ◽  
Jeawoo Lee ◽  
Wonju Lee ◽  
Cheolhun Jang

In intelligent vehicles, extrinsic camera calibration is preferable to be conducted on a regular basis to deal with unpredictable mechanical changes or variations on weight load distribution. Specifically, high-precision extrinsic parameters between the camera coordinate and the world coordinate are essential to implement high-level functions in intelligent vehicles such as distance estimation and lane departure warning. However, conventional calibration methods, which solve a Perspective-n-Point problem, require laborious work to measure the positions of 3D points in the world coordinate. To reduce this inconvenience, this paper proposes an automatic camera calibration method based on 3D reconstruction. The main contribution of this paper is a novel reconstruction method to recover 3D points on planes perpendicular to the ground. The proposed method jointly optimizes reprojection errors of image features projected from multiple planar surfaces, and finally, it significantly reduces errors in camera extrinsic parameters. Experiments were conducted in synthetic simulation and real calibration environments to demonstrate the effectiveness of the proposed method.


2017 ◽  
Vol 34 (3-4) ◽  
pp. 209-226
Author(s):  
QILIN BI ◽  
ZHIJUN LIU ◽  
MIAOHUI WANG ◽  
MINLING LAI ◽  
LEMING XIAO ◽  
...  

2013 ◽  
Vol 33 (6) ◽  
pp. 0612007 ◽  
Author(s):  
许勇 Xu Yong ◽  
郭鹏宇 Guo Pengyu ◽  
龙古灿 Long Gucan ◽  
张小虎 Zhang Xiaohu ◽  
于起峰 Yu Qifeng

2014 ◽  
Vol 34 (10) ◽  
pp. 1015004
Author(s):  
卜鹏辉 Bu Penghui ◽  
赵宏 Zhao Hong ◽  
谷飞飞 Gu Feifei ◽  
马跃洋 Ma Yueyang ◽  
李欢欢 Li Huanhuan

2012 ◽  
Vol 1 (2) ◽  
pp. 277-294 ◽  
Author(s):  
David Tingdahl ◽  
Gool Van Luc

We present a web service for image based 3D reconstruction. The system allows a cultural heritage professional to easily create a 3D model of a scene or object out of images taken from different viewpoints. The user uploads the images to our server on which all processing takes place, and the final result can be downloaded upon completion. Any consumer-class digital camera can be used, and the system is free to use for non-commercial purposes. The service includes a number of innovations to greatly simplify the process of taking pictures suitable for reconstruction. In particular, we are able to construct models of planar scenes and from photographs shot using a turntable, and at varying zoom levels. Although the first two may seem like particularly simple cases, they cause some mathematical issues with traditional self-calibration techniques. We handle these cases by taking advantage of a new automatic camera calibration method that uses meta-data stored with the images. For fixed-lens camera setups, we can also reuse previously computed calibrations to support otherwise degenerate scenes. Furthermore, we can automatically compute the relative scale and transformation between two reconstructions of the same scene, merging two reconstructions into one. We demonstrate the capabilities of the system by two case studies: turntable reconstruction of various objects and the reconstruction of a cave, with walls and roof integrated into a complete model.


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