Owl Autonomous Imaging, Inc.

Akash Chintha

Eugene Michael Petilli

Charles F Gershman

Francis J Cusack, Jr

Srinath Obla

Embodiments of systems and methods for multi-aperture ranging are disclosed. An embodiment of an image processing system includes at least one processor and memory configured to receive a multi-aperture image set that includes a high-resolution subaperture image and a low-resolution subaperture image, wherein the high-resolution subaperture image and the low-resolution subaperture image were captured simultaneously from a camera using dissimilar focal lengths, predict a high-resolution predicted disparity map from the high-resolution subaperture image using a neural network, predict a low-resolution predicted disparity map from the low-resolution subaperture image using the neural network, and generate an integrated range map from the high-resolution and low-resolution predicted disparity maps, wherein the integrated range map includes an array of range information that corresponds to the multi-aperture image set and that is generated by overlaying common points in both the high-resolution predicted disparity map and the low-resolution predicted disparity map.

Multi-aperture ranging devices and methods

Embodiments of systems and methods for multi-aperture ranging are disclosed. An embodiment of a device includes a main lens, configured to receive an image from the field of view of the main lens, a multi-aperture optical component having optical elements optically coupled to the main lens and configured to create a multi-aperture image set that includes a plurality of subaperture images, wherein at least one point in the field of view is captured by at least two of the subaperture images, an array of sensing elements, a ROIC configured to receive the signals, to convert the signals to digital data, and to output the digital data, and an image processing system, responsive to the digital data that is output from the ROIC, which is configured to generate disparity values that correspond to at least one point in common between the at least two subaperture images.

Growing community of inventors

Rochester, NY, United States of America

Akash Chintha