Abstract: One aspect of this disclosure is a method comprising: receiving, from a camera, a video feed depicting a pair of feet and a scaling object; capturing, with the camera, images of the feet and the scaling object based on the video feed; identifying foot features in each captured image; determining camera positions for each captured image by triangulating the foot features; generating a point cloud in a three-dimensional space by positioning each foot feature in the three-dimensional space based on the camera positions; scaling the point cloud based on the scaling object; segmenting the point cloud into at least a right-foot cluster and a left-foot cluster; fitting a first three-dimensional morphable model to the right-foot cluster according to first foot parameters; and fitting a second three-dimensional morphable model to the left-foot cluster according to second foot parameters. Related systems, apparatus, and methods also are described.

Abstract: A computer-implemented method performable with an imaging device comprises selecting a frame from a video feed output with the imaging device during a movement of the imaging device relative to a body part and detecting the body part in the frame. If the body part is detected, a first process is performed comprising: calculating an azimuth angle of the imaging device relative to the body part, calculating a metering region for the body part, and measuring a motion characteristic of the movement. The method also involves qualifying the frame based on at least one of the azimuth angle and the motion characteristic. If the frame is qualified, a second process is performed comprising: adjusting a setting of the imaging device based on the metering region, capturing an image of the body part with the imaging device based on the setting, identifying a location of the image relative to the body part based on the azimuth angle, and associating the image with a reference to the location.

Abstract: One aspect of this disclosure is a method comprising: receiving, from a camera, a video feed depicting a pair of feet and a scaling object; capturing, with the camera, images of the feet and the scaling object based on the video feed; identifying foot features in each captured image; determining camera positions for each captured image by triangulating the foot features; generating a point cloud in a three-dimensional space by positioning each foot feature in the three-dimensional space based on the camera positions; scaling the point cloud based on the scaling object; segmenting the point cloud into at least a right-foot cluster and a left-foot cluster; fitting a first three-dimensional morphable model to the right-foot cluster according to first foot parameters; and fitting a second three-dimensional morphable model to the left-foot cluster according to second foot parameters. Related systems, apparatus, and methods also are described.