Automatic measurement based on stereo vision system using a single PTZ camera

Wang, Rui; Feng, Suizhou

doi:10.1109/ist.2017.8261469

Cited by 5 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Active measurement obtains 3D information based on the reflection time of light from objects. However, active measurement methods are easily affected by the reflection characteristics of objects, and will be inefficient under many conditions [13][14][15]. Passive measurement methods measure the object directly according to the laws of geometry and physics rather than an auxiliary light source, and it is more flexible in application [16].…”

Section: Introductionmentioning

confidence: 99%

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

Zhou

Chu

et al. 2020

Meas. Sci. Technol.

View full text Add to dashboard Cite

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%.

show abstract