CRF Based Point Cloud Segmentation
نویسنده
چکیده
Since devices to capture point clouds easily are relatively recent (Kinect), there has not been much research into segmenting out objects from a point cloud. Previous work in the segmentation of 3d point cloud scenes has usually involved the extracting geometric primitives using features like normals and curvatures [2, 3]. Other research has focused on segmenting out a single object foreground from the background in a semi-supervised or unsupervised manner [4]. None of the prior work found covers the segmentation of a class of objects from a single instance of that object, which is the main focus of this current work.
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