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pro vyhledávání: '"Ding, Huakeng"'
Autor:
Feng, Xiang, Kang, Kaizhang, Pei, Fan, Ding, Huakeng, You, Jinjiang, Tan, Ping, Zhou, Kun, Wu, Hongzhi
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 ster
Externí odkaz:
http://arxiv.org/abs/2308.03492