Efficient intensity-based fringe projection profilometry method resistant to global illumination Article Swipe
Ji Deng
,
Jian Li
,
Hao Feng
,
Shumeng Ding
,
Xiao Yu
,
Wenzhong Han
,
Zhoumo Zeng
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1364/oe.408835
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1364/oe.408835
Intensity-based fringe projection profilometry (IBFPP) is used widely because of its simple structure, high robustness, and noise resilience. Most IBFPP methods assume that any scene point is illuminated by direct illumination only, but global illumination effects introduce strong biases in the reconstruction result for many real-world scenes. To solve this problem, this paper describes an efficient IBFPP method for reconstructing three-dimensional geometry in the presence of global illumination. First, the average intensity of two sinusoidal patterns is used as a pixel-wise threshold to binarize the codeword patterns. The binarized template pattern is then used to convert other binarized fringe patterns into traditional Gray-code patterns. A proprietary compensation algorithm is then applied to eliminate fringe errors caused by environmental noise and lens defocusing. Finally, simple, efficient, and robust phase unwrapping can be achieved despite the effects of subsurface scattering and interreflection. Experimental results obtained in different environments show that the proposed method can obtain three-dimensional information reliably when influenced by global illumination.
Related Topics
Concepts
Computer science
Optics
Structured-light 3D scanner
Artificial intelligence
Robustness (evolution)
Computer vision
Global illumination
Projection (relational algebra)
Phase retrieval
Algorithm
Mathematics
Physics
Rendering (computer graphics)
Fourier transform
Mathematical analysis
Biochemistry
Scanner
Chemistry
Gene
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/oe.408835
- OA Status
- gold
- Cited By
- 23
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3096374350
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3096374350Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1364/oe.408835Digital Object Identifier
- Title
-
Efficient intensity-based fringe projection profilometry method resistant to global illuminationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-06Full publication date if available
- Authors
-
Ji Deng, Jian Li, Hao Feng, Shumeng Ding, Xiao Yu, Wenzhong Han, Zhoumo ZengList of authors in order
- Landing page
-
https://doi.org/10.1364/oe.408835Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1364/oe.408835Direct OA link when available
- Concepts
-
Computer science, Optics, Structured-light 3D scanner, Artificial intelligence, Robustness (evolution), Computer vision, Global illumination, Projection (relational algebra), Phase retrieval, Algorithm, Mathematics, Physics, Rendering (computer graphics), Fourier transform, Mathematical analysis, Biochemistry, Scanner, Chemistry, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
23Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 4, 2023: 7, 2022: 8, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3096374350 |
|---|---|
| doi | https://doi.org/10.1364/oe.408835 |
| ids.doi | https://doi.org/10.1364/oe.408835 |
| ids.mag | 3096374350 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/33379730 |
| ids.openalex | https://openalex.org/W3096374350 |
| fwci | 1.7844444 |
| type | article |
| title | Efficient intensity-based fringe projection profilometry method resistant to global illumination |
| awards[0].id | https://openalex.org/G1074041168 |
| awards[0].funder_id | https://openalex.org/F4320335777 |
| awards[0].display_name | |
| awards[0].funder_award_id | 2016YFF0101802 |
| awards[0].funder_display_name | National Key Research and Development Program of China |
| awards[1].id | https://openalex.org/G652366261 |
| awards[1].funder_id | https://openalex.org/F4320321001 |
| awards[1].display_name | |
| awards[1].funder_award_id | 61873183 |
| awards[1].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 24 |
| biblio.volume | 28 |
| biblio.last_page | 36346 |
| biblio.first_page | 36346 |
| topics[0].id | https://openalex.org/T10638 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Optical measurement and interference techniques |
| topics[1].id | https://openalex.org/T11211 |
| topics[1].field.id | https://openalex.org/fields/19 |
| topics[1].field.display_name | Earth and Planetary Sciences |
| topics[1].score | 0.9973999857902527 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1907 |
| topics[1].subfield.display_name | Geology |
| topics[1].display_name | 3D Surveying and Cultural Heritage |
| topics[2].id | https://openalex.org/T12549 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9937000274658203 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Image and Object Detection Techniques |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| funders[1].id | https://openalex.org/F4320335777 |
| funders[1].ror | |
| funders[1].display_name | National Key Research and Development Program of China |
| is_xpac | False |
| apc_list.value | 2270 |
| apc_list.currency | USD |
| apc_list.value_usd | 2270 |
| apc_paid.value | 2270 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2270 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.687017560005188 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C120665830 |
| concepts[1].level | 1 |
| concepts[1].score | 0.6612699031829834 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[1].display_name | Optics |
| concepts[2].id | https://openalex.org/C184577583 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6120578646659851 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1485537 |
| concepts[2].display_name | Structured-light 3D scanner |
| concepts[3].id | https://openalex.org/C154945302 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5764136910438538 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[3].display_name | Artificial intelligence |
| concepts[4].id | https://openalex.org/C63479239 |
| concepts[4].level | 3 |
| concepts[4].score | 0.5608016848564148 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7353546 |
| concepts[4].display_name | Robustness (evolution) |
| concepts[5].id | https://openalex.org/C31972630 |
| concepts[5].level | 1 |
| concepts[5].score | 0.5541201233863831 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[5].display_name | Computer vision |
| concepts[6].id | https://openalex.org/C89720835 |
| concepts[6].level | 3 |
| concepts[6].score | 0.5136758685112 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1531701 |
| concepts[6].display_name | Global illumination |
| concepts[7].id | https://openalex.org/C57493831 |
| concepts[7].level | 2 |
| concepts[7].score | 0.47317245602607727 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q3134666 |
| concepts[7].display_name | Projection (relational algebra) |
| concepts[8].id | https://openalex.org/C81793267 |
| concepts[8].level | 3 |
| concepts[8].score | 0.4553055167198181 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7180962 |
| concepts[8].display_name | Phase retrieval |
| concepts[9].id | https://openalex.org/C11413529 |
| concepts[9].level | 1 |
| concepts[9].score | 0.3425142168998718 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[9].display_name | Algorithm |
| concepts[10].id | https://openalex.org/C33923547 |
| concepts[10].level | 0 |
| concepts[10].score | 0.20005479454994202 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[10].display_name | Mathematics |
| concepts[11].id | https://openalex.org/C121332964 |
| concepts[11].level | 0 |
| concepts[11].score | 0.1866784393787384 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[11].display_name | Physics |
| concepts[12].id | https://openalex.org/C205711294 |
| concepts[12].level | 2 |
| concepts[12].score | 0.15716958045959473 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q176953 |
| concepts[12].display_name | Rendering (computer graphics) |
| concepts[13].id | https://openalex.org/C102519508 |
| concepts[13].level | 2 |
| concepts[13].score | 0.09980106353759766 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q6520159 |
| concepts[13].display_name | Fourier transform |
| concepts[14].id | https://openalex.org/C134306372 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[14].display_name | Mathematical analysis |
| concepts[15].id | https://openalex.org/C55493867 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q7094 |
| concepts[15].display_name | Biochemistry |
| concepts[16].id | https://openalex.org/C2779751349 |
| concepts[16].level | 2 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q1474480 |
| concepts[16].display_name | Scanner |
| concepts[17].id | https://openalex.org/C185592680 |
| concepts[17].level | 0 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[17].display_name | Chemistry |
| concepts[18].id | https://openalex.org/C104317684 |
| concepts[18].level | 2 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[18].display_name | Gene |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.687017560005188 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/optics |
| keywords[1].score | 0.6612699031829834 |
| keywords[1].display_name | Optics |
| keywords[2].id | https://openalex.org/keywords/structured-light-3d-scanner |
| keywords[2].score | 0.6120578646659851 |
| keywords[2].display_name | Structured-light 3D scanner |
| keywords[3].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[3].score | 0.5764136910438538 |
| keywords[3].display_name | Artificial intelligence |
| keywords[4].id | https://openalex.org/keywords/robustness |
| keywords[4].score | 0.5608016848564148 |
| keywords[4].display_name | Robustness (evolution) |
| keywords[5].id | https://openalex.org/keywords/computer-vision |
| keywords[5].score | 0.5541201233863831 |
| keywords[5].display_name | Computer vision |
| keywords[6].id | https://openalex.org/keywords/global-illumination |
| keywords[6].score | 0.5136758685112 |
| keywords[6].display_name | Global illumination |
| keywords[7].id | https://openalex.org/keywords/projection |
| keywords[7].score | 0.47317245602607727 |
| keywords[7].display_name | Projection (relational algebra) |
| keywords[8].id | https://openalex.org/keywords/phase-retrieval |
| keywords[8].score | 0.4553055167198181 |
| keywords[8].display_name | Phase retrieval |
| keywords[9].id | https://openalex.org/keywords/algorithm |
| keywords[9].score | 0.3425142168998718 |
| keywords[9].display_name | Algorithm |
| keywords[10].id | https://openalex.org/keywords/mathematics |
| keywords[10].score | 0.20005479454994202 |
| keywords[10].display_name | Mathematics |
| keywords[11].id | https://openalex.org/keywords/physics |
| keywords[11].score | 0.1866784393787384 |
| keywords[11].display_name | Physics |
| keywords[12].id | https://openalex.org/keywords/rendering |
| keywords[12].score | 0.15716958045959473 |
| keywords[12].display_name | Rendering (computer graphics) |
| keywords[13].id | https://openalex.org/keywords/fourier-transform |
| keywords[13].score | 0.09980106353759766 |
| keywords[13].display_name | Fourier transform |
| language | en |
| locations[0].id | doi:10.1364/oe.408835 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S178776955 |
| locations[0].source.issn | 1094-4087 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1094-4087 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Optics Express |
| locations[0].source.host_organization | https://openalex.org/P4310315679 |
| locations[0].source.host_organization_name | Optica Publishing Group |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310315679 |
| locations[0].source.host_organization_lineage_names | Optica Publishing Group |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Optics Express |
| locations[0].landing_page_url | https://doi.org/10.1364/oe.408835 |
| locations[1].id | pmid:33379730 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Optics express |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/33379730 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5050445838 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-4597-9115 |
| authorships[0].author.display_name | Ji Deng |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ji Deng |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5100402467 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-0864-5108 |
| authorships[1].author.display_name | Jian Li |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jian Li |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5068201443 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-8127-6639 |
| authorships[2].author.display_name | Hao Feng |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Hao Feng |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5019204120 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Shumeng Ding |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Shumeng Ding |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5100700343 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-8829-268X |
| authorships[4].author.display_name | Xiao Yu |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Yu Xiao |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5100552900 |
| authorships[5].author.orcid | https://orcid.org/0009-0006-0376-4278 |
| authorships[5].author.display_name | Wenzhong Han |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Wenzhong Han |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5051637055 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-8220-598X |
| authorships[6].author.display_name | Zhoumo Zeng |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Zhoumo Zeng |
| authorships[6].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1364/oe.408835 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Efficient intensity-based fringe projection profilometry method resistant to global illumination |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10638 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Optical measurement and interference techniques |
| related_works | https://openalex.org/W4312010418, https://openalex.org/W2083155254, https://openalex.org/W3099860820, https://openalex.org/W4387686226, https://openalex.org/W4310581927, https://openalex.org/W2975077065, https://openalex.org/W2079590986, https://openalex.org/W2546244419, https://openalex.org/W2064532728, https://openalex.org/W2573596612 |
| cited_by_count | 23 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 4 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 7 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 8 |
| counts_by_year[4].year | 2021 |
| counts_by_year[4].cited_by_count | 2 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1364/oe.408835 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S178776955 |
| best_oa_location.source.issn | 1094-4087 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1094-4087 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Optics Express |
| best_oa_location.source.host_organization | https://openalex.org/P4310315679 |
| best_oa_location.source.host_organization_name | Optica Publishing Group |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310315679 |
| best_oa_location.source.host_organization_lineage_names | Optica Publishing Group |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Optics Express |
| best_oa_location.landing_page_url | https://doi.org/10.1364/oe.408835 |
| primary_location.id | doi:10.1364/oe.408835 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S178776955 |
| primary_location.source.issn | 1094-4087 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1094-4087 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Optics Express |
| primary_location.source.host_organization | https://openalex.org/P4310315679 |
| primary_location.source.host_organization_name | Optica Publishing Group |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310315679 |
| primary_location.source.host_organization_lineage_names | Optica Publishing Group |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Optics Express |
| primary_location.landing_page_url | https://doi.org/10.1364/oe.408835 |
| publication_date | 2020-11-06 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2091250708, https://openalex.org/W2954067149, https://openalex.org/W3033647564, https://openalex.org/W1990613440, https://openalex.org/W2100275119, https://openalex.org/W2791731233, https://openalex.org/W2789421388, https://openalex.org/W2011070003, https://openalex.org/W2345939069, https://openalex.org/W2137597078, https://openalex.org/W2091201282, https://openalex.org/W2145395025, https://openalex.org/W2170391290, https://openalex.org/W2130952765, https://openalex.org/W2564085083, https://openalex.org/W2505895835, https://openalex.org/W2901718154, https://openalex.org/W3016499519, https://openalex.org/W2607095427, https://openalex.org/W2013603653, https://openalex.org/W2108159976, https://openalex.org/W2590022232, https://openalex.org/W2066642144, https://openalex.org/W2995329839, https://openalex.org/W2055365204, https://openalex.org/W2962953018, https://openalex.org/W2910810859, https://openalex.org/W3011389449, https://openalex.org/W2106687120, https://openalex.org/W2093560942, https://openalex.org/W2158378098, https://openalex.org/W1980466170, https://openalex.org/W2952598533, https://openalex.org/W2046145492, https://openalex.org/W2122981824, https://openalex.org/W2025073213, https://openalex.org/W1995108366, https://openalex.org/W2076621637, https://openalex.org/W2048747197, https://openalex.org/W2086114601, https://openalex.org/W2076214923, https://openalex.org/W2073107947 |
| referenced_works_count | 42 |
| abstract_inverted_index.A | 104 |
| abstract_inverted_index.a | 79 |
| abstract_inverted_index.To | 47 |
| abstract_inverted_index.an | 54 |
| abstract_inverted_index.as | 78 |
| abstract_inverted_index.be | 130 |
| abstract_inverted_index.by | 28, 116, 158 |
| abstract_inverted_index.in | 39, 62, 143 |
| abstract_inverted_index.is | 5, 26, 76, 91, 108 |
| abstract_inverted_index.of | 9, 65, 72, 135 |
| abstract_inverted_index.to | 82, 94, 111 |
| abstract_inverted_index.The | 87 |
| abstract_inverted_index.and | 15, 119, 125, 138 |
| abstract_inverted_index.any | 23 |
| abstract_inverted_index.but | 32 |
| abstract_inverted_index.can | 129, 151 |
| abstract_inverted_index.for | 43, 58 |
| abstract_inverted_index.its | 10 |
| abstract_inverted_index.the | 40, 63, 69, 84, 133, 148 |
| abstract_inverted_index.two | 73 |
| abstract_inverted_index.Most | 18 |
| abstract_inverted_index.high | 13 |
| abstract_inverted_index.into | 100 |
| abstract_inverted_index.lens | 120 |
| abstract_inverted_index.many | 44 |
| abstract_inverted_index.show | 146 |
| abstract_inverted_index.that | 22, 147 |
| abstract_inverted_index.then | 92, 109 |
| abstract_inverted_index.this | 49, 51 |
| abstract_inverted_index.used | 6, 77, 93 |
| abstract_inverted_index.when | 156 |
| abstract_inverted_index.IBFPP | 19, 56 |
| abstract_inverted_index.noise | 16, 118 |
| abstract_inverted_index.only, | 31 |
| abstract_inverted_index.other | 96 |
| abstract_inverted_index.paper | 52 |
| abstract_inverted_index.phase | 127 |
| abstract_inverted_index.point | 25 |
| abstract_inverted_index.scene | 24 |
| abstract_inverted_index.solve | 48 |
| abstract_inverted_index.First, | 68 |
| abstract_inverted_index.assume | 21 |
| abstract_inverted_index.biases | 38 |
| abstract_inverted_index.caused | 115 |
| abstract_inverted_index.direct | 29 |
| abstract_inverted_index.errors | 114 |
| abstract_inverted_index.fringe | 1, 98, 113 |
| abstract_inverted_index.global | 33, 66, 159 |
| abstract_inverted_index.method | 57, 150 |
| abstract_inverted_index.obtain | 152 |
| abstract_inverted_index.result | 42 |
| abstract_inverted_index.robust | 126 |
| abstract_inverted_index.simple | 11 |
| abstract_inverted_index.strong | 37 |
| abstract_inverted_index.widely | 7 |
| abstract_inverted_index.(IBFPP) | 4 |
| abstract_inverted_index.applied | 110 |
| abstract_inverted_index.average | 70 |
| abstract_inverted_index.because | 8 |
| abstract_inverted_index.convert | 95 |
| abstract_inverted_index.despite | 132 |
| abstract_inverted_index.effects | 35, 134 |
| abstract_inverted_index.methods | 20 |
| abstract_inverted_index.pattern | 90 |
| abstract_inverted_index.results | 141 |
| abstract_inverted_index.scenes. | 46 |
| abstract_inverted_index.simple, | 123 |
| abstract_inverted_index.Finally, | 122 |
| abstract_inverted_index.achieved | 131 |
| abstract_inverted_index.binarize | 83 |
| abstract_inverted_index.codeword | 85 |
| abstract_inverted_index.geometry | 61 |
| abstract_inverted_index.obtained | 142 |
| abstract_inverted_index.patterns | 75, 99 |
| abstract_inverted_index.presence | 64 |
| abstract_inverted_index.problem, | 50 |
| abstract_inverted_index.proposed | 149 |
| abstract_inverted_index.reliably | 155 |
| abstract_inverted_index.template | 89 |
| abstract_inverted_index.Gray-code | 102 |
| abstract_inverted_index.algorithm | 107 |
| abstract_inverted_index.binarized | 88, 97 |
| abstract_inverted_index.describes | 53 |
| abstract_inverted_index.different | 144 |
| abstract_inverted_index.efficient | 55 |
| abstract_inverted_index.eliminate | 112 |
| abstract_inverted_index.intensity | 71 |
| abstract_inverted_index.introduce | 36 |
| abstract_inverted_index.patterns. | 86, 103 |
| abstract_inverted_index.threshold | 81 |
| abstract_inverted_index.efficient, | 124 |
| abstract_inverted_index.influenced | 157 |
| abstract_inverted_index.pixel-wise | 80 |
| abstract_inverted_index.projection | 2 |
| abstract_inverted_index.real-world | 45 |
| abstract_inverted_index.scattering | 137 |
| abstract_inverted_index.sinusoidal | 74 |
| abstract_inverted_index.structure, | 12 |
| abstract_inverted_index.subsurface | 136 |
| abstract_inverted_index.unwrapping | 128 |
| abstract_inverted_index.defocusing. | 121 |
| abstract_inverted_index.illuminated | 27 |
| abstract_inverted_index.information | 154 |
| abstract_inverted_index.proprietary | 105 |
| abstract_inverted_index.resilience. | 17 |
| abstract_inverted_index.robustness, | 14 |
| abstract_inverted_index.traditional | 101 |
| abstract_inverted_index.Experimental | 140 |
| abstract_inverted_index.compensation | 106 |
| abstract_inverted_index.environments | 145 |
| abstract_inverted_index.illumination | 30, 34 |
| abstract_inverted_index.profilometry | 3 |
| abstract_inverted_index.environmental | 117 |
| abstract_inverted_index.illumination. | 67, 160 |
| abstract_inverted_index.reconstructing | 59 |
| abstract_inverted_index.reconstruction | 41 |
| abstract_inverted_index.Intensity-based | 0 |
| abstract_inverted_index.interreflection. | 139 |
| abstract_inverted_index.three-dimensional | 60, 153 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 93 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.87107679 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |