Academic Journal
W and V shape features based on measured skin spectral reflectance.
| Τίτλος: | W and V shape features based on measured skin spectral reflectance. |
|---|---|
| Συγγραφείς: | Sun, Meng, Gao, Cheng, Li, Changjun |
| Πηγή: | Color Research & Application; Jan2025, Vol. 50 Issue 1, p36-47, 12p |
| Θεματικοί όροι: | Spectral reflectance, Spectral sensitivity, Artificial skin, Color vision, Spectral imaging, Human skin color |
| Περίληψη: | Research suggested that color vision evolved for the purpose of seeing skin color modulations signaling emotion or mood. Hence people want to find the connection of the cone sensitivities with the skin spectral reflectance. In this article the W and V shapes based on skin spectral reflectance measured at different positions and from different ethnic groups (Kurdish, Caucasian, Thai, Chinese) were investigated. First, it was found that the measured skin spectral reflectance from all body positions and ethnic groups have a V shape between 400 and 450 nm and a W shape between 520 and 610 nm. The W and V shapes from the measured skin spectral reflectance are clearly different from those from the spectral reflectance generated from the physical model. The V shape and W shape do not exist with spectral reflectances measured from artificial skin color. Second, it was found that the wavelengths where the left trough assumes for the W shape are different from the wavelength where the M cone peaks, and the wavelengths where the central peak of the W shape assumes are different from the wavelength where the L cone peaks, which are different from the results from literature. Third, it was found that the skin spectral reflectance varies with body positions and ethnic groups. The W shapes turn to be a "U" shape for the spectral reflectance measured at back of the hand and inner forearm positions. The spectral reflectance measured from Kurdish starts decreasing for each body positions for wavelength greater than 700 nm, which is clearly different from the spectral reflectance measured from the Chinese and Caucasian ethnic groups. The findings of this paper are valuable for improving the physical model for generating skin spectral reflectance, reconstructing skin spectral reflectance based on image, identifying human skin color from spectral imaging and rendering of human skin color in computer graphics. [ABSTRACT FROM AUTHOR] |
| Copyright of Color Research & Application is the property of Wiley-Blackwell 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 |
| FullText | Links: – Type: other Text: Availability: 0 |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 181663329 RelevancyScore: 974 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 973.852172851563 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: W and V shape features based on measured skin spectral reflectance. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sun%2C+Meng%22">Sun, Meng</searchLink><br /><searchLink fieldCode="AR" term="%22Gao%2C+Cheng%22">Gao, Cheng</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Changjun%22">Li, Changjun</searchLink> – Name: TitleSource Label: Source Group: Src Data: Color Research & Application; Jan2025, Vol. 50 Issue 1, p36-47, 12p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Spectral+reflectance%22">Spectral reflectance</searchLink><br /><searchLink fieldCode="DE" term="%22Spectral+sensitivity%22">Spectral sensitivity</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+skin%22">Artificial skin</searchLink><br /><searchLink fieldCode="DE" term="%22Color+vision%22">Color vision</searchLink><br /><searchLink fieldCode="DE" term="%22Spectral+imaging%22">Spectral imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Human+skin+color%22">Human skin color</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Research suggested that color vision evolved for the purpose of seeing skin color modulations signaling emotion or mood. Hence people want to find the connection of the cone sensitivities with the skin spectral reflectance. In this article the W and V shapes based on skin spectral reflectance measured at different positions and from different ethnic groups (Kurdish, Caucasian, Thai, Chinese) were investigated. First, it was found that the measured skin spectral reflectance from all body positions and ethnic groups have a V shape between 400 and 450 nm and a W shape between 520 and 610 nm. The W and V shapes from the measured skin spectral reflectance are clearly different from those from the spectral reflectance generated from the physical model. The V shape and W shape do not exist with spectral reflectances measured from artificial skin color. Second, it was found that the wavelengths where the left trough assumes for the W shape are different from the wavelength where the M cone peaks, and the wavelengths where the central peak of the W shape assumes are different from the wavelength where the L cone peaks, which are different from the results from literature. Third, it was found that the skin spectral reflectance varies with body positions and ethnic groups. The W shapes turn to be a "U" shape for the spectral reflectance measured at back of the hand and inner forearm positions. The spectral reflectance measured from Kurdish starts decreasing for each body positions for wavelength greater than 700 nm, which is clearly different from the spectral reflectance measured from the Chinese and Caucasian ethnic groups. The findings of this paper are valuable for improving the physical model for generating skin spectral reflectance, reconstructing skin spectral reflectance based on image, identifying human skin color from spectral imaging and rendering of human skin color in computer graphics. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Color Research & Application is the property of Wiley-Blackwell 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=181663329 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/col.22951 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 36 Subjects: – SubjectFull: Spectral reflectance Type: general – SubjectFull: Spectral sensitivity Type: general – SubjectFull: Artificial skin Type: general – SubjectFull: Color vision Type: general – SubjectFull: Spectral imaging Type: general – SubjectFull: Human skin color Type: general Titles: – TitleFull: W and V shape features based on measured skin spectral reflectance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sun, Meng – PersonEntity: Name: NameFull: Gao, Cheng – PersonEntity: Name: NameFull: Li, Changjun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 03612317 Numbering: – Type: volume Value: 50 – Type: issue Value: 1 Titles: – TitleFull: Color Research & Application Type: main |
| ResultId | 1 |