Academic Journal

High-Resolution Measurement of Surface Normal Maps Using Specular Reflection Imaging.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: High-Resolution Measurement of Surface Normal Maps Using Specular Reflection Imaging.
Συγγραφείς: Inoue, Shinichi, Igarashi, Yoshinori, Suzuki, Seiji
Πηγή: Journal of Imaging; Apr2026, Vol. 12 Issue 4, p164, 14p
Θεματικοί όροι: Surface geometry, Angular measurements, Surface properties, Data visualization, Inspection & review
Περίληψη: This paper presents a method for measuring the spatial distribution of surface normal vectors with high angular accuracy. The measured data are visualized using a color-mapping technique and represented as normal maps, which are commonly used in computer graphics. Reliable methods for evaluating material surface properties have long been sought in industrial applications where visual assessments of reflective properties are still widely employed, particularly in appearance-critical fields. Motivated by this need, we introduce an imaging-based technique for measuring the high-resolution spatial distribution of surface normal vectors from specular reflection. A dedicated measurement apparatus was developed to capture surface normal vectors at 1024 × 1024 sampling points with a spatial resolution of 0.02 × 0.02 mm and an angular resolution of approximately 0.1°. Using this apparatus, normal maps were obtained for various materials, including plastic, ceramic tile, inkjet paper, and aluminum sheets. The spatial distribution of surface normal vectors reflects surface roughness, which strongly influences perceived texture. The resulting normal maps enable not only quantitative surface analysis for industrial inspection but also the physical reproduction of gloss in computer graphics. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Imaging is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Label: Title
  Group: Ti
  Data: High-Resolution Measurement of Surface Normal Maps Using Specular Reflection Imaging.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Inoue%2C+Shinichi%22">Inoue, Shinichi</searchLink><br /><searchLink fieldCode="AR" term="%22Igarashi%2C+Yoshinori%22">Igarashi, Yoshinori</searchLink><br /><searchLink fieldCode="AR" term="%22Suzuki%2C+Seiji%22">Suzuki, Seiji</searchLink>
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  Label: Source
  Group: Src
  Data: Journal of Imaging; Apr2026, Vol. 12 Issue 4, p164, 14p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Surface+geometry%22">Surface geometry</searchLink><br /><searchLink fieldCode="DE" term="%22Angular+measurements%22">Angular measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+properties%22">Surface properties</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Inspection+%26+review%22">Inspection & review</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper presents a method for measuring the spatial distribution of surface normal vectors with high angular accuracy. The measured data are visualized using a color-mapping technique and represented as normal maps, which are commonly used in computer graphics. Reliable methods for evaluating material surface properties have long been sought in industrial applications where visual assessments of reflective properties are still widely employed, particularly in appearance-critical fields. Motivated by this need, we introduce an imaging-based technique for measuring the high-resolution spatial distribution of surface normal vectors from specular reflection. A dedicated measurement apparatus was developed to capture surface normal vectors at 1024 × 1024 sampling points with a spatial resolution of 0.02 × 0.02 mm and an angular resolution of approximately 0.1°. Using this apparatus, normal maps were obtained for various materials, including plastic, ceramic tile, inkjet paper, and aluminum sheets. The spatial distribution of surface normal vectors reflects surface roughness, which strongly influences perceived texture. The resulting normal maps enable not only quantitative surface analysis for industrial inspection but also the physical reproduction of gloss in computer graphics. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Imaging is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/jimaging12040164
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 164
    Subjects:
      – SubjectFull: Surface geometry
        Type: general
      – SubjectFull: Angular measurements
        Type: general
      – SubjectFull: Surface properties
        Type: general
      – SubjectFull: Data visualization
        Type: general
      – SubjectFull: Inspection & review
        Type: general
    Titles:
      – TitleFull: High-Resolution Measurement of Surface Normal Maps Using Specular Reflection Imaging.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Inoue, Shinichi
      – PersonEntity:
          Name:
            NameFull: Igarashi, Yoshinori
      – PersonEntity:
          Name:
            NameFull: Suzuki, Seiji
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          Dates:
            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 2313433X
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            – Type: volume
              Value: 12
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Journal of Imaging
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