Learning Photometric Feature Transform for Free-Form Object Scan
We propose a novel framework to automatically learn to aggregate and transform photometric measurements from multiple unstructured views into spatially distinctive and view-invariant low-level features, which are subsequently fed to a multi-view stereo pipeline to enhance 3D reconstruction. The illu...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 9 vom: 22. Aug., Seite 6398-6409
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| 1. Verfasser: |
Feng, Xiang
(VerfasserIn) |
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| Weitere Verfasser: |
Kang, Kaizhang,
Pei, Fan,
Ding, Huakeng,
You, Jinjiang,
Tan, Ping,
Zhou, Kun,
Wu, Hongzhi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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