Estimation of Wetness and Color from a Single Multispectral Image
Recognizing wet surfaces and their degrees of wetness is essential for many computer vision applications. Surface wetness can inform us slippery spots on a road to autonomous vehicles, muddy areas of a trail to humanoid robots, and the freshness of groceries to us. The fact that surfaces darken when...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 07. Dez., Seite 8740-8753
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| Auteur principal: |
Okawa, Hiroki
(Auteur) |
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| Autres auteurs: |
Shimano, Mihoko,
Asano, Yuta,
Bise, Ryoma,
Nishino, Ko,
Sato, Imari |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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