A 3D object measurement method using a single view camera

Kang, Mi-Seon; Lee, Cheolhyo; You, Byoung-Moon; Chung, Yun-Su

doi:10.1109/ictc.2015.7354666

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…For example, Martinez et al [19] designed a simplified drogue position measurement algorithm based on the circular circumscribed rectangle mapping relationship with a monocular vision system, which is capable of tracking large and rapid drogue motions within the frame of reference. Mi-Seon Kang et al [20] proposed a 3D object measurement method based on the monocular vision system. In this method, 3D spatial resolution information was obtained from the images by a new 3D calibration frame.…”

Section: Introductionmentioning

confidence: 99%

A measurement system based on internal cooperation of cameras in binocular vision

Zhou

Chu

et al. 2020

Meas. Sci. Technol.

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In this paper, a measurement system based on internal cooperation of cameras in binocular vision is proposed. In terms of the hardware structure, the system is composed of a binocular vision module, a controllable platform and an electronic gradienter, which can be used to collect binocular images and measure horizontal and vertical angles between the binocular vision module and objects. In terms of data processing, a new measurement method based on the cooperation of monocular and binocular vision (MBC) is put forward. Firstly, the depth values of some effective points are obtained according to feature point matching results. Then, a depth propagation algorithm based on MBC is adopted to compute other depth information of the object region. After that, the actual size of unit pixels is computed on the basis of the corresponding disparity value, and it is corrected according to the horizontal and vertical angles. Finally, accurate size measurement of the object is achieved by accumulating the number of pixels. Experimental results show that the proposed system can achieve more accurate measurement results compared to the traditional binocular vision measurement method. For all the experimental objects, the absolute relative measurement errors with our method are all lower than 3.5%.

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Section: Introductionmentioning

confidence: 99%

A measurement system based on internal cooperation of cameras in binocular vision

Zhou

Chu

et al. 2020

Meas. Sci. Technol.

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“…In the recent years, a camera for the object measurement has been widely applied [1,2]. In [3], Mi-Seon Kang proposed a new calibration method for inspecting 3D objects using a single camera. A machine-vision-based approach to radial error measurement of a lathe spindle using a CMOS camera and a PC-based image processing system was presented in [4].…”

Section: Introductionmentioning

confidence: 99%

Metrology and Measurement Systems

Zhang

Zhao

et al. 2018

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The three-dimensional (3D) coordinate measurement of radio frequency identification (RFID) multi-tag networks is one of the important issues in the field of RFID, which affects the reading performance of RFID multi-tag networks. In this paper, a novel method for 3D coordinate measurement of RFID multitag networks is proposed. A dual-CCD system (vertical and horizontal cameras) is used to obtain images of RFID multi-tag networks from different angles. The iterative threshold segmentation and the morphological filtering method are used to process the images. The template matching method is respectively used to determine the two-dimensional (2D) coordinate and the vertical coordinate of each tag. After that, the 3D coordinate of each tag is obtained. Finally, a back-propagation (BP) neural network is used to model the nonlinear relationship between the RFID multi-tag network and the corresponding reading distance. The BP neural network can predict the reading distances of unknown tag groups and find out the optimal distribution structure of the tag groups corresponding to the maximum reading distance. In the future work, the corresponding in-depth research on the neural network to adjust the distribution of tags will be done.

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“…In particularly, the development of digital technology for clothing leads to the "seamless" business model, which include the use of advanced 3D body measurement system that can obtain all-round body size data in seconds, and large-scale anthropometric items, the way of made to measure by cutting according to individual body shape (made to measure, here after referred to as the MTM), the MTM automatic correction of CAD patterns, the automatic cutting on piece cutting bed, the real-time virtual trying on clothing, the clothing product data management and the clothing e-retail [3][4][5][6] and so on. The MTM becomes very popular as it can meet the personalized demands of consumers, and besides, its premise condition is the acquirement of 3D body data quickly and accurately [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…3D shape of objects on the screen is colored point cloud that looks like pictures of objects [14]. 8 ○ VOXELAN is non-contact optical 3D scanning system with security laser scanning of Hamano. The system can provide precise information and its resolution ranges from 0.8 mm overall to 0.02 mm relative reduction.…”

Section: Introductionmentioning

confidence: 99%

The Laser Rotating of Non-contact Body Scanning System

Jiang¹

2015

JFBI

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This paper focus on the requiring of Made To Measure apparel production mode according to individual types and make calibration about body measurement and production in a line. In this paper, based on the measurement principle of structured light, a laser rotating body scanning of non-contact measurement system is introduced. Firstly, the key part of this system, such as digital motor, CCD, lens, etc, is introduced and discussed. Secondly, the principle of the whole system is brought up by analyzing the theory and realization of the structured light measurement, and a 3D reconstruction mathematical model is built based on the characteristic parameter of digital motor. Lastly, some important factors related to the accuracy of this system are discussed. The point cloud data of 3D body contour is acquired successfully via data processing and data piecing together. The further processing can be done according to the raw data. The validity of the principle of this system and the feasibility of arithmetic are verified by experiments.

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A 3D object measurement method using a single view camera

Cited by 6 publications

References 6 publications

A measurement system based on internal cooperation of cameras in binocular vision

A measurement system based on internal cooperation of cameras in binocular vision

Metrology and Measurement Systems

The Laser Rotating of Non-contact Body Scanning System

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