Object Detection Utilizing Geometric Information Fused With Image Data

Two-dimensional and three-dimensional data of a physical scene are combined and analyzed together to identify physical objects physically present in the physical scene. Image features obtained from the two-dimensional data and geometric features obtained from the three-dimensional data are combined with one another such that corresponding image features are associated with corresponding geometric features. Automated object detection mechanisms are directed to the combination of image and geographic features and consider them together in identifying physical objects from the physical scene. Such automated object detection mechanisms utilize machine learning such as selecting and tuning multiple classifiers, with each classifier identifying potential objects based on a specific set of image and geographic features, and further identifying and adjusting weighting factors to be applied to the results of such classifiers, with the weighted combination of the output of the multiple classifiers providing the resulting object identification.