Method and Apparatus for Multi-Model Primitive Fitting based on Deep Geometric Boundary and Instance Aware Segmentation

摘要

An image processing system includes an interface to transmit and receive data via a network, a processor connected to the interface, a memory storing an image processing program modules executable by the processor, wherein the image processing program causes the processor to perform operations. The operations include providing a point cloud of an image including objects into a segmentation network, segmenting point-wisely the point cloud into multiple classes of the objects and detecting boundaries of the objects using the segmentation network, wherein the segmentation network outputs a probability of associating primitive classes of the objects based on the segmented multiple classes and the segmented boundaries, verifying and refining the segmented multiple classes and the segmented boundaries using a predetermined fitting method, and correcting misclassification of the multiple classes of the objects by fitting the primitives to the multiple classes.