Duke University

Ramona Optics Inc.

Kevin Zhou

Joseph A Izatt

Roarke W Horstmeyer

Sina Farsiu

Ruobing Qian

Jaehee Park

Colin Cooke

A tomographic 3D imaging system includes a conic-section mirror serving as the imaging objective, a sample holder positioned to hold a sample at a focus (f) of the conic-section mirror, a light source directing light to the sample, and an array of camera sensors positioned above the conic-section mirror. In some cases, the array of camera sensors is positioned parallel to a directrix of the conic-section mirror. In some cases, the conic-section mirror is a parabolic mirror. In some cases, each camera sensor of the array of camera sensors is positioned facing the sample holder at an inclination angle dictated by a lateral position of the camera sensor according to where r is the radial entry position across the parabolic mirror.

Tomographic 3D imaging with a camera array

A method of mesoscopic photogrammetry can be carried out using a set of images captured from a camera on a mobile computing device. Upon receiving the set of images, the method generates a composite image, which can include applying homographic rectification to warp all images of the set of images onto a common plane; applying a rectification model to undo perspective distortion in each image of the set of images; and applying an undistortion model for adjusting for camera imperfections of a camera that captured each image of the set of images. A height map is generated co-registered with the composite image, for example, by using an untrained CNN whose weights/parameters are optimized in order to optimize the height map. The height map and the composite image can be output for display.

Feature-free photogrammetric 3D imaging with cameras under unconstrained motion

Systems and methods for imaging based on multiple cross-sectional images acquired at different angles are disclosed. According to an aspect, multiple cross-sectional images of an object are acquired at different angles. The method also includes registering the acquired cross-sectional images. Further, the method includes reconstructing an enhanced resolution image of the object based on the registered images. As a result of registering the images, a distortion map is generated that is coregistered with the high-resolution image. The method also includes displaying an image of the object based on the enhanced resolution image and the distortion map.

Systems and methods for enhanced resolution imaging based on multiple cross-sectional images acquired at different angles

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Durham, NC, United States of America

Kevin Zhou