3D Scanning Method for Fast Motion using Single Grid Pattern with Coarse-to-fine Technique

Author(s):  
R. Furukawa ◽  
H. Kawasaki ◽  
R. Sagawa ◽  
Y. Yagi
Measurement ◽  
2015 ◽  
Vol 67 ◽  
pp. 61-70 ◽  
Author(s):  
Agnes Psikuta ◽  
Joanna Frackiewicz-Kaczmarek ◽  
Emel Mert ◽  
Marie-Ange Bueno ◽  
Renè M. Rossi
Keyword(s):  
Air Gap ◽  

2021 ◽  
pp. 141-163
Author(s):  
N A Abu Osman ◽  
W Mehmood ◽  
N A Abd Razak

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1818 ◽  
Author(s):  
Yuan Liu ◽  
Xiubao Sui ◽  
Xiaodong Kuang ◽  
Chengwei Liu ◽  
Guohua Gu ◽  
...  

Due to the fast speed and high efficiency, discriminant correlation filter (DCF) has drawn great attention in online object tracking recently. However, with the improvement of performance, the costs are the increase in parameters and the decline of speed. In this paper, we propose a novel visual tracking algorithm, namely VDCFNet, and combine DCF with a vector convolutional network (VCNN). We replace one traditional convolutional filter with two novel vector convolutional filters in the convolutional stage of our network. This enables our model with few memories (only 59 KB) trained offline to learn the generic image features. In the online tracking stage, we propose a coarse-to-fine search strategy to solve drift problems under fast motion. Besides, we update model selectively to speed up and increase robustness. The experiments on OTB benchmarks demonstrate that our proposed VDCFNet can achieve a competitive performance while running over real-time speed.


Materials ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1881 ◽  
Author(s):  
Marek Hawryluk ◽  
Zbigniew Gronostajski ◽  
Jacek Ziemba ◽  
Marta Janik ◽  
Piotr Górski ◽  
...  

This article discusses the problems related to the use of non-contact 3D scanning techniques and their support by means of replication methods for the analysis of the geometrical changes in deep tool impressions used for the forward extrusion of valve-type elements assigned for motor truck engines. The 3D scanning method, despite its unquestionable advantages, also has certain limitations, such as scanning the inner surfaces of deep cavities. This is caused by the fact that the larger the angle between the reflected laser light and the normal direction to the measured surface, the larger the area covered for the analysis, yet at the same time, the higher the measurement error. The authors performed an analysis of the geometrical loss of the tools as well as the corresponding replication masses, together with a discussion of the results related to minimization of the measuring errors. For the analyzed tool, the maximum angle during direct scanning was 40 degrees, which unfortunately does not enable an analysis of the entire pattern, while for larger angles, it is necessary to make the measurement by indirect scanning, i.e., by replicating the cavity imprint of the tool. Therefore, for a given geometry, the reflection angle should be determined individually.


Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2023 ◽  
Author(s):  
Guoxu Liu ◽  
Shuyi Mao ◽  
Jae Ho Kim

An algorithm was proposed for automatic tomato detection in regular color images to reduce the influence of illumination and occlusion. In this method, the Histograms of Oriented Gradients (HOG) descriptor was used to train a Support Vector Machine (SVM) classifier. A coarse-to-fine scanning method was developed to detect tomatoes, followed by a proposed False Color Removal (FCR) method to remove the false-positive detections. Non-Maximum Suppression (NMS) was used to merge the overlapped results. Compared with other methods, the proposed algorithm showed substantial improvement in tomato detection. The results of tomato detection in the test images showed that the recall, precision, and F1 score of the proposed method were 90.00%, 94.41 and 92.15%, respectively.


3D Research ◽  
2012 ◽  
Vol 3 (1) ◽  
Author(s):  
Ismael Daribo ◽  
Ryo Furukawa ◽  
Ryusuke Sagawa ◽  
Hiroshi Kawasaki ◽  
Shinsaku Hiura ◽  
...  

2015 ◽  
Vol 51 (Supplement) ◽  
pp. S394-S397 ◽  
Author(s):  
Sung Hee Ahn ◽  
Jinhee Park ◽  
Yun-Ja Nam ◽  
Myung Hwan Yun

2016 ◽  
Vol 44 ◽  
pp. 1660219 ◽  
Author(s):  
Koji Noda

Since 1994, HIMAC has carried out clinical studies and treatments for more than 9000 cancer patients with carbon-ion beams. During the first decade of the HIMAC study, a single beam-wobbling method, adopted as the HIMAC beam-delivery technique, was improved for treatments of moving tumors and for obtaining more conformal dose distribution. During the second decade, a pencil-beam 3D scanning method has been developed toward an “adaptive cancer treatment” for treatments of both static and moving tumors. A new treatment research facility was constructed with HIMAC in order to verify the developed 3D scanning technology through a clinical study that has been successfully conducted since 2011. As the next stage, a compact heavy-ion rotating gantry with a superconducting technology has been developed for the more accurate and shorter-course treatments. The twenty-year development of the heavy-ion radiotherapy technologies including accelerator technologies with HIMAC is reviewed.


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