Evidence map›Paper›PMID 35590901›Full record

ArticleSensors (Basel, Switzerland)2022

Multi-Object Positioning and Imaging Based on Single-Pixel Imaging Using Binary Patterns.

Wenwen Meng, Dongfeng Shi, Wei Yang, Linbin Zha, Yuefeng Zhao, Yingjian Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Wenwen MengSchool of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China.
Dongfeng ShiAdvanced Laser Technology Laboratory of Anhui Province, Hefei 230037, China.
Wei YangAdvanced Laser Technology Laboratory of Anhui Province, Hefei 230037, China.
Linbin ZhaAdvanced Laser Technology Laboratory of Anhui Province, Hefei 230037, China.
Yuefeng ZhaoCollaborative Innovation Center of Light Manipulations and Applications, Shandong Normal University, Jinan 250358, China.
Yingjian WangAdvanced Laser Technology Laboratory of Anhui Province, Hefei 230037, China.

Funding

Foundation of Key Laboratory of Science and Technology Innovation of Chinese Academy of Sciences CXJJ-20S028Fund of Advanced Laser Technology Laboratory of Anhui Province 20192201Youth Innovation Promotion Association 2020438
6 · The paper itself

Abstract

Single-pixel imaging (SPI) is a new type of imaging technology that uses a non-scanning single-pixel detector to image objects and has important application prospects and value in many fields. Most of the modulators currently used in SPI systems are digital micromirror device (DMD) modulators, which use a higher frequency for binary modulation than other alternatives. When modulating grayscale information, the modulation frequency is significantly reduced. This paper conducts research on multiple discrete objects in a scene and proposes using binary patterns to locate and image these objects. Compared with the existing methods of using gray patterns to locate and image multiple objects, the method proposed in this paper is more suitable for DMD-type SPI systems and has wider applicability and greater prospects. The principle of the proposed method is introduced, and the effectiveness of the method is experimentally verified. The experimental results show that, compared to traditional SPI methods, the number of patterns required by the proposed method is reduced by more than 85%.

Indexed as

binary modulationmulti-object positioningsingle-pixel imaging

Identifiers

PMID35590901
PMCPMC9104123

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.