Abstract: A system and method for generating a full three-dimensional (3D) digital geometry for an ear provides a 3D reconstruction model that not only includes the outer area of an ear, but also the inner canal area up to the second bend. The system includes at least one remote server and a PC device. The remote server manages and processes data needed for the 3D model for an ear. The PC device allows a user to access the system and method. The remote server processes a series of video frames to generate outer ear 3D data points. Full ear geometry 3D data points are generated by comparing the outer ear 3D data points with a plurality of ear impressions. Canal 3D data points are then adjusted with a tragus angle for accuracy. The 3D reconstruction model that includes the outer ear area and inner canal area is finally generated.

Abstract: A method of discriminative recovery of three-dimensional digital data of a target of interest in a cluttered or controlled environment. The method uses the traditional structure from motion (SFM) 3D reconstruction method on a video of a target of interest to track and extract 3D sparse feature points and relative orientations of the video frames. Desired 3D points are filtered from the 3D sparse feature points in accordance to a user input and a digital cutting tool. Segmented images are generated by separating the target of interest from the background scene in accordance to the desired 3D points. A dense 3D reconstruction of the target of interest is generated by inputting the segmented images and the relative orientations of the video frames.