FlowNet3D++: Geometric losses for deep scene flow estimation
We present FlowNet3D++, a deep scene flow estimation network. Inspired by classical methods, FlowNet3D++ incorporates geometric constraints in the form of point-toplane distance and angular alignment between individual vectors in the flow field, into FlowNet3D [21]. We demonstrate that the addition...
| Главные авторы: | , , , , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
IEEE
2020
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