Three-dimensional reconstruction method of Tang Dynasty building based on point clouds

2015 ◽  
Vol 54 (12) ◽  
pp. 123111 ◽  
Author(s):  
Yinghui Wang ◽  
Huanhuan Zhang ◽  
Yanni Zhao ◽  
Wen Hao ◽  
Xiaojuan Ning ◽  
...  
Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4628
Author(s):  
Xiaowen Teng ◽  
Guangsheng Zhou ◽  
Yuxuan Wu ◽  
Chenglong Huang ◽  
Wanjing Dong ◽  
...  

The three-dimensional reconstruction method using RGB-D camera has a good balance in hardware cost and point cloud quality. However, due to the limitation of inherent structure and imaging principle, the acquired point cloud has problems such as a lot of noise and difficult registration. This paper proposes a 3D reconstruction method using Azure Kinect to solve these inherent problems. Shoot color images, depth images and near-infrared images of the target from six perspectives by Azure Kinect sensor with black background. Multiply the binarization result of the 8-bit infrared image with the RGB-D image alignment result provided by Microsoft corporation, which can remove ghosting and most of the background noise. A neighborhood extreme filtering method is proposed to filter out the abrupt points in the depth image, by which the floating noise point and most of the outlier noise will be removed before generating the point cloud, and then using the pass-through filter eliminate rest of the outlier noise. An improved method based on the classic iterative closest point (ICP) algorithm is presented to merge multiple-views point clouds. By continuously reducing both the size of the down-sampling grid and the distance threshold between the corresponding points, the point clouds of each view are continuously registered three times, until get the integral color point cloud. Many experiments on rapeseed plants show that the success rate of cloud registration is 92.5% and the point cloud accuracy obtained by this method is 0.789 mm, the time consuming of a integral scanning is 302 seconds, and with a good color restoration. Compared with a laser scanner, the proposed method has considerable reconstruction accuracy and a significantly ahead of the reconstruction speed, but the hardware cost is much lower when building a automatic scanning system. This research shows a low-cost, high-precision 3D reconstruction technology, which has the potential to be widely used for non-destructive measurement of rapeseed and other crops phenotype.


1995 ◽  
Vol 39 (6) ◽  
pp. 995-1003 ◽  
Author(s):  
Naotsugu Kawahata ◽  
Hideki Ono ◽  
Akihiko Otsuka ◽  
Tomomi Fukunaga ◽  
Yuji Kamashita ◽  
...  

2013 ◽  
Vol 1 (5) ◽  
pp. 321-327 ◽  
Author(s):  
Aurélien Courvoisier ◽  
Brice Ilharreborde ◽  
Barbara Constantinou ◽  
Benjamin Aubert ◽  
Raphael Vialle ◽  
...  

1989 ◽  
Vol 101 (5) ◽  
pp. 517-521 ◽  
Author(s):  
Haruo Takahashi ◽  
Akira Takagi ◽  
Isamu Sando

This study was performed to clarify the complex three-dimensional shape of the round window and its membrane, and to measure these structures by using the computer-aided three-dimensional reconstruction method we developed. The equipment used included a personal computer, a high-resolution, 14-Inch color monitor, and a digitizer. Materials consisted of five normal temporal bones obtained from five individuals with negative otologic histories who had been 5 months and 14, 15, 18, and 59 years old at death. Round window membranes were found to be convex to the middle ear side when viewed in the coronal plane, but to be concave when viewed in the sagittal plane; thus the membrane in most cases seemed to be shaped like a saddle, tapered toward the vestibular end. The average maximal diameter, sagittal length, horizontal width, and surface area of the round window were 2.32 ± 0.19 mm, 2.08 ± 0.22 mm, 1.76 ± 0.10 mm, and 2.70 ± 0.43 mm2, respectively. The average surface area of the round window membrane was 2.98 ± 0.43 mm2.


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