Stereo vision-based 3D measurement method using segmented phase coding without phase unwrapping Article Swipe
Yanjun Fu
,
Zeng Gang Xiong
,
Kejun Zhong
,
Guangyu Jiang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1364/oe.573050
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1364/oe.573050
3D measurement method without phase unwrapping has attracted extensive attention due to its requirement for fewer fringe patterns. In a binocular structured light measurement system, the measurement range is determined by the common area of the three perspectives. This results in a high similarity between the deformed fringe patterns captured by the two cameras. Based on this characteristic, this paper proposed a binocular stereo 3D measurement method without phase unwrapping that uses periodic segmented phase coding fringe for auxiliary matching. Firstly, the problem of segmented phase codes matching is regarded as a sequence similarity issue, and the weighted Longest Common Subsequence (LCS) algorithm is used for row-by-row alignment. Subsequently, the monotonic regions of each wrapped phase are matched using the monotonicity, and the partial disparity is obtained from the wrapped phase value. Finally, the disparity in the jump areas is obtained from the π phase shifting wrapped phase. This method requires three sinusoidal phase shifting images and two segmented phase coding images, and there is no need to correct the periodic misalignment. The projector does not require calibration. Experiments have verified the effectiveness of this method, with a root mean square error of 0.052 mm in the measurement of the standard ball.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/oe.573050
- OA Status
- gold
- Cited By
- 1
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413621602
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413621602Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1364/oe.573050Digital Object Identifier
- Title
-
Stereo vision-based 3D measurement method using segmented phase coding without phase unwrappingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-08-26Full publication date if available
- Authors
-
Yanjun Fu, Zeng Gang Xiong, Kejun Zhong, Guangyu JiangList of authors in order
- Landing page
-
https://doi.org/10.1364/oe.573050Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1364/oe.573050Direct OA link when available
- Concepts
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Phase unwrapping, Optics, Coding (social sciences), Computer science, Optical coherence tomography, Phase (matter), Computer vision, Artificial intelligence, Interferometry, Physics, Mathematics, Quantum mechanics, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.standard | 200 |
| abstract_inverted_index.verified | 180 |
| abstract_inverted_index.weighted | 97 |
| abstract_inverted_index.algorithm | 102 |
| abstract_inverted_index.attention | 9 |
| abstract_inverted_index.attracted | 7 |
| abstract_inverted_index.auxiliary | 78 |
| abstract_inverted_index.binocular | 20, 62 |
| abstract_inverted_index.disparity | 124, 134 |
| abstract_inverted_index.extensive | 8 |
| abstract_inverted_index.matching. | 79 |
| abstract_inverted_index.monotonic | 110 |
| abstract_inverted_index.patterns. | 17 |
| abstract_inverted_index.projector | 173 |
| abstract_inverted_index.segmented | 73, 84, 158 |
| abstract_inverted_index.alignment. | 107 |
| abstract_inverted_index.determined | 29 |
| abstract_inverted_index.row-by-row | 106 |
| abstract_inverted_index.similarity | 43, 93 |
| abstract_inverted_index.sinusoidal | 152 |
| abstract_inverted_index.structured | 21 |
| abstract_inverted_index.unwrapping | 5, 69 |
| abstract_inverted_index.Experiments | 178 |
| abstract_inverted_index.Subsequence | 100 |
| abstract_inverted_index.measurement | 1, 23, 26, 65, 197 |
| abstract_inverted_index.requirement | 13 |
| abstract_inverted_index.calibration. | 177 |
| abstract_inverted_index.Subsequently, | 108 |
| abstract_inverted_index.effectiveness | 182 |
| abstract_inverted_index.misalignment. | 171 |
| abstract_inverted_index.monotonicity, | 120 |
| abstract_inverted_index.perspectives. | 37 |
| abstract_inverted_index.characteristic, | 57 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.90789791 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |