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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 07. Dez., Seite 8740-8753
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| 1. Verfasser: |
Okawa, Hiroki
(VerfasserIn) |
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| Weitere Verfasser: |
Shimano, Mihoko,
Asano, Yuta,
Bise, Ryoma,
Nishino, Ko,
Sato, Imari |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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