Evidence map›Paper›PMID 33916582›Full record

ArticleSensors (Basel, Switzerland)2021

High Precision Optical Tracking System Based on near Infrared Trinocular Stereo Vision.

Songlin Bi, Yonggang Gu, Jiaqi Zou, Lianpo Wang, Chao Zhai, Ming Gong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Songlin BiDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China.ORCID 0000-0002-0189-9113
Yonggang GuExperiment Center of Engineering and Material Science, University of Science and Technology of China, Hefei 230027, China.ORCID 0000-0002-9597-307X
Jiaqi ZouDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China.
Lianpo WangDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China.
Chao ZhaiExperiment Center of Engineering and Material Science, University of Science and Technology of China, Hefei 230027, China.
Ming GongExperiment Center of Engineering and Material Science, University of Science and Technology of China, Hefei 230027, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high precision optical tracking system (OTS) based on near infrared (NIR) trinocular stereo vision (TSV) is presented in this paper. Compared with the traditional OTS on the basis of binocular stereo vision (BSV), hardware and software are improved. In the hardware aspect, a NIR TSV platform is built, and a new active tool is designed. Imaging markers of the tool are uniform and complete with large measurement angle (>60°). In the software aspect, the deployment of extra camera brings high computational complexity. To reduce the computational burden, a fast nearest neighbor feature point extraction algorithm (FNNF) is proposed. The proposed method increases the speed of feature points extraction by hundreds of times over the traditional pixel-by-pixel searching method. The modified NIR multi-camera calibration method and 3D reconstruction algorithm further improve the tracking accuracy. Experimental results show that the calibration accuracy of the NIR camera can reach 0.02%, positioning accuracy of markers can reach 0.0240 mm, and dynamic tracking accuracy can reach 0.0938 mm. OTS can be adopted in high-precision dynamic tracking.

Indexed as

dynamic trackingoptical tracking systemtrinocular stereo vision

Identifiers

PMID33916582
PMCPMC8038438

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.