Feb. 12, 2024, 5:45 a.m. | Peimian Du Qicheng Guo Yanru Li

cs.CV updates on arXiv.org arxiv.org

This study proposes a Network to recognize displacement of a RC frame structure from a video by a monocular camera. The proposed Network consists of two modules which is FlowNet2 and POFRN-Net. FlowNet2 is used to generate dense optical flow as well as POFRN-Net is to extract pose parameter H. FlowNet2 convert two video frames into dense optical flow. POFRN-Net is inputted dense optical flow from FlowNet2 to output the pose parameter H. The displacement of any points of structure …

cs.cv eess.iv flow generate mesh modules network optical optical flow study video

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