Three-dimensional (3D) range-intensity correlation laser imaging based on two gate images is a novel 3D reconstruction technique[
Chinese Optics Letters, Volume. 15, Issue 10, 102802(2017)
Coordinate difference homogenization matching method for motion correction in 3D range-intensity correlation laser imaging
This Letter proposes a coordinate difference homogenization matching method to solve motion influence in three-dimensional (3D) range-intensity correlation laser imaging. Firstly, features and feature pairs of gate images are obtained by speeded-up robust figures and bi-directional feature matching methods. The original mean value of the feature-pair coordinate differences is calculated. Comparing the coordinate differences with the original mean value, the wrong feature pairs are removed, and then an optimized mean value is updated. The final feature-pair coordinates are re-registered based on the updated mean value. Thus, an accurate transformation is established to rectify motion gate images for 3D reconstruction. In the experiment, a 3D image of a tower at 780 m is successfully captured by our laser gated imaging system on a pan–tilt device.
Three-dimensional (3D) range-intensity correlation laser imaging based on two gate images is a novel 3D reconstruction technique[
Figure 1.(Color online) (a) Method of 3D RICLIS. (b) 3D images of motion and static scenes.
The process of the CDH matching method is shown in Fig.
Figure 2.Process of the CDH matching method.
Figure 3.(Color online) (a) A–B unidirectional matching. (b) B–A unidirectional matching. (c) Robust feature pairs. (d) The principle of the CDH method.
The principle of the CDH is depicted in Fig.
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For experimental research, an RICLIS is established by a pulsed laser, a gated ICCD, and a TCU. The system is on a pan–tilt device to scan targets. The laser is a laser diode with a center wavelength of 808 nm, and its laser pulse width can be changed from 100 ns to several microseconds under the trigger of the TCU. For the gated ICCD, a gated GEN II intensifier is coupled to a CCD with
Figure 4.RICLIS and the target of tower.
Figures
Figure 5.(Color online) Experimental results of a tower. (a)–(c) Motion gate images and 3D image. (d)–(f) Rectified gate images and 3D image. (g)–(i) Static gate images and 3D image.
As shown in Fig.
Figure
Figure 6.(Color online) (a) Comparison of range accuracy of red lines in Figs.
In conclusion, we propose a CDH matching method to solve the influence of motion in range-intensity correlation laser imaging. In the CDH method, the coordinates of feature pairs are optimized by using the mean value of coordinate differences, and the images with motion influence are rectified. With the proposed method, a 3D image of the tower at 780 m is obtained with motion correction, and two motion gate images are captured by a pan–tilt device. The results show that the method is available for motion correction due to moving targets or platforms in 3D range-intensity correlation laser imaging. Suppressing the influence of non-uniformity of the laser needs a further study in our future work.
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Liang Sun, Xinwei Wang, Pengdao Ren, Pingshun Lei, Songtao Fan, Yan Zhou, Yuliang Liu. Coordinate difference homogenization matching method for motion correction in 3D range-intensity correlation laser imaging[J]. Chinese Optics Letters, 2017, 15(10): 102802
Category: Fiber Optics and Optical Communications
Received: Apr. 8, 2017
Accepted: Jul. 3, 2017
Published Online: Jul. 19, 2018
The Author Email: Xinwei Wang (wangxinwei@semi.ac.cn)