Automatic target extraction in complicated background for camera calibration

Xichao Guo; Cheng Wang; Chenglu Wen; Ming Cheng

doi:10.1117/12.2234912

2 March 2016 Automatic target extraction in complicated background for camera calibration

Xichao Guo, Cheng Wang, Chenglu Wen, Ming Cheng

Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 99010R (2016) https://doi.org/10.1117/12.2234912
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China

Abstract

In order to perform high precise calibration of camera in complex background, a novel design of planar composite target and the corresponding automatic extraction algorithm are presented. Unlike other commonly used target designs, the proposed target contains the information of feature point coordinate and feature point serial number simultaneously. Then based on the original target, templates are prepared by three geometric transformations and used as the input of template matching based on shape context. Finally, parity check and region growing methods are used to extract the target as final result. The experimental results show that the proposed method for automatic extraction and recognition of the proposed target is effective, accurate and reliable.

Citation Download Citation

Xichao Guo, Cheng Wang, Chenglu Wen, and Ming Cheng "Automatic target extraction in complicated background for camera calibration", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 99010R (2 March 2016); https://doi.org/10.1117/12.2234912

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KEYWORDS

Calibration

Cameras

Composites

Target recognition

Automatic target recognition

Detection and tracking algorithms

3D acquisition

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