Selecting frames during augmented reality reconstruction

A computer program product comprising:

• a machine readable storage device;
• and
• computer code stored on the machine readable storage device, with the computer code including instructions and data for causing a processor(s) set to perform operations including the following:
• receiving a plurality of image frames, with each given image frame of the plurality of image frames including an image, and with each given image frame of the plurality of image frames being organized in a chronological sequence,
• converting each given image of the plurality of images from its original image format into a grayscale image format to obtain a grayscale image frame sequence having a plurality of grayscale images,
• for each given grayscale image of the grayscale image frame sequence, calculating a two-dimensional image entropy in order to obtain a set of image entropy data,
• clustering the set of image entropy data in order to obtain a plurality of clusters, with a number of clusters in the plurality of clusters being defined by a user,
• selecting grayscale image frames that are associated with a first cluster of the plurality of clusters, and
• performing a three-dimensional image reconstruction of the selected grayscale frames that are associated with the first cluster.

A computer system (CS) comprising:

• a processor(s) set;
• a machine readable storage device;
• and
• computer code stored on the machine readable storage device, with the computer code including instructions and data for causing the processor(s) set to perform operations including the following:
• receiving a plurality of image frames, with each given image frame of the plurality of image frames including an image, and with each given image frame of the plurality of image frames being organized in a chronological sequence,
• converting each given image of the plurality of images from its original image format into a grayscale image format to obtain a grayscale image frame sequence having a plurality of grayscale images,
• for each given grayscale image of the grayscale image frame sequence, calculating a two-dimensional image entropy in order to obtain a set of image entropy data,
• clustering the set of image entropy data in order to obtain a plurality of clusters, with a number of clusters in the plurality of clusters being defined by a user,
• selecting grayscale image frames that are associated with a first cluster of the plurality of clusters, and
• performing a three-dimensional image reconstruction of the selected grayscale frames that are associated with the first cluster.