Matching complex images to multiple 3D objects using view description networks

The effective matching of a single 2D image of a cluttered scene to a library of multiple polyhedral models is achieved by organizing the 3D models into a network of descriptions of their 2D projections from expected views. The process of efficiently searching for image-model matches via a view description network is presented and demonstrated on images containing multiple objects and outdoor scenes. The experiments show that a recognition system based on view description networks is capable finding the correct matches to 3D objects in complex images with a potentially high level of efficiency.<<ETX>>

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