Systems and methods of feature correspondence analysis

A computer-implemented method comprising:

• receiving semantic descriptions of features of an asset extracted from a first set of images;
• receiving a model of the asset, the model constructed based on a second set of a plurality images of the asset and describes a three-dimensional (3D) region of interest in the asset in each image in the second set of images;
• receiving, based on an optical flow-based motion estimation, an indication of a motion for the features in the first set of images;
• determining, based on the model and a third set of images of the asset, a set of candidate regions of interest for the asset;
• determining, based on the indication of motion for the features in the first set of images, a region of interest in the first set of images;
• iteratively determining a matching of features in the set of candidate regions of interest for the asset and the determined region of interest in the first set of images to generate a record of matches in features between two images in the first set of images;
• and
• displaying a visualization of the matches in features between two images in the first set of images.

A non-transitory computer readable medium having executable instructions stored therein, the medium comprising:

• instructions to receive semantic descriptions of features of an asset extracted from a first set of images;
• instructions to receive a model of the asset, the model constructed based on a second set of a plurality images of the asset and describes a three-dimensional (3D) region of interest in the asset in each image in the second set of images;
• instructions to receive, based on an optical flow-based motion estimation, an indication of a motion for the features in the first set of images;
• instructions to determine, based on the model and a third set of images of the asset, a set of candidate regions of interest for the asset;
• instructions to determine, based on the indication of motion for the features in the first set of images, a region of interest in the first set of images;
• instructions to iteratively determine a matching of features in the set of candidate regions of interest for the asset and the determined region of interest in the first set of images to generate a record of matches in features between two images in the first set of images;
• and
• instructions to display a visualization of the matches in features between two images in the first set of images.