FGCN: Image-Fused Point Cloud Semantic Segmentation with Fusion Graph Convolutional Network
Kun Zhang,
Rui Chen,
Zidong Peng
et al.
Abstract:In interpreting a scene for numerous applications, including autonomous driving and robotic navigation, semantic segmentation is crucial. Compared to single-modal data, multi-modal data allow us to extract a richer set of features, which is the benefit of improving segmentation accuracy and effect. We propose a point cloud semantic segmentation method, and a fusion graph convolutional network (FGCN) which extracts the semantic information of each point involved in the two-modal data of images and point clouds.… Show more
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