Paper
27 June 2023 Miss distance estimation using shadow and single view
Author Affiliations +
Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127052U (2023) https://doi.org/10.1117/12.2680084
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China
Abstract
The stereo vision is generally used to obtain the 3D information in traditional three-dimensional measurement. At least two cameras are calibrated in advance and then resection is performed to obtain the three-dimensional coordinates. It can be seen that obtaining 3D information needs at least two cameras (or two views) because single camera can only obtain 2D information. In addition, only the 3D spatial position when the image is captured by camera can be obtained. When we measure 3D information of miss distance of the weapon with high-velocity motion, such as missile, it is hard to capture the image when the weapon touches on the target because the limitation of camera fps (frames per second). Hence, we can only obtain the position of the moment before the weapon touches on the target and this would bring error for miss distance estimation. In this paper, a fast miss distance estimation method is proposed using shadow and single view (i.e., single camera). This proposed method only uses one camera and uses the characteristic that the intersection of the axes of weapon and its shadow is the actual image projection of the moment when the weapon touches on the target. The proposed method dose not need to capture the image of moment when the weapon touches on the target and hence not need high fps, then would extend the range of choice for camera. Experimental results indicate our proposed method has better performance in terms of accuracy, numerical stability and computational speed for miss distance estimation, compared with the traditional stereo vision.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kai Guo, Hu Ye, Ye Tian, Xin Gao, and Junhao Gu "Miss distance estimation using shadow and single view", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127052U (27 June 2023); https://doi.org/10.1117/12.2680084
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Shadows

Weapons

3D acquisition

Light sources

Numerical stability

Sunlight

Back to Top