| CPC G06V 20/64 (2022.01) [G06V 10/44 (2022.01)] | 19 Claims | 

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               1. A processor-implemented method for object identification based on point cloud features extracted from point cloud data corresponding to an image, the method comprising: 
            generating first appearance features and first geometric features, both of respective objects of the image, dependent on the extracted point cloud features and correspondingly determined geometric centers of the respective objects; and 
                identifying the respective objects by generating corresponding second appearance features and second geometric features based on: 
                the extracted point cloud features of an object from the respective objects; and 
                  appearance relationship weightings and geometric relationship weightings, which are respectively based on the generated first appearance features and the generated first geometric features, 
                wherein the second appearance features that correspond to the object are determined based on an application of a relationship weighting to the extracted point cloud features of the object, with the relationship weighting being based on both a corresponding one of the appearance relationship weightings and a corresponding one of the geometric relationship weightings; and 
                controlling an operation of an augmented reality system based on the identified respective objects. 
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