公开(公告)号：US20190043220A1

公开(公告)日：2019-02-07

申请号：US15858063

申请日：2017-12-29

Applicant: Intel Corporation

Inventor： Avinash Kumar ,  Manjula Gururaj ,  Ramkumar Narayanswamy

IPC: G06T7/80 ,  G06T7/11 ,  G06T7/174 ,  G06T7/73 ,  G06T7/60 ,  H04N5/247 ,  G06T7/38

Abstract: An embodiment of a semiconductor package apparatus may include technology to capture two or more concurrent images of a scene with two or more cameras, detect a feature in a first image from a first camera of the two or more cameras, match the feature in a second image from a second camera of the two or more cameras, and perform a photometric calibration between the first camera and the second camera based on a portion of the first image corresponding to the detected feature and a portion of the second image corresponding to the matched feature. Other embodiments are disclosed and claimed.

公开(公告)号：US10762664B2

公开(公告)日：2020-09-01

申请号：US15858063

申请日：2017-12-29

Applicant: Intel Corporation

Inventor： Avinash Kumar ,  Manjula Gururaj ,  Ramkumar Narayanswamy

IPC: G06T7/80 ,  G06T7/11 ,  G06T7/174 ,  G06T7/73 ,  H04N5/247 ,  G06T7/38 ,  G06T7/60 ,  H04N5/232 ,  H04N17/00 ,  H04N5/225

Abstract: An embodiment of a semiconductor package apparatus may include technology to capture two or more concurrent images of a scene with two or more cameras, detect a feature in a first image from a first camera of the two or more cameras, match the feature in a second image from a second camera of the two or more cameras, and perform a photometric calibration between the first camera and the second camera based on a portion of the first image corresponding to the detected feature and a portion of the second image corresponding to the matched feature. Other embodiments are disclosed and claimed.

公开(公告)号：US20190028688A1

公开(公告)日：2019-01-24

申请号：US15813012

申请日：2017-11-14

Applicant: INTEL CORPORATION

Inventor： Avinash Kumar ,  Ramkumar Narayanswamy ,  Manjula Gururaj

IPC: H04N13/02 ,  G06K9/46

Abstract: System, apparatus, method, and computer readable media for on-the-fly dynamic calibration of multi-camera platforms using images of multiple different scenes. Image frame sets previously captured by the platform are scored as potential candidates from which new calibration parameters may be computed. The candidate frames are ranked according to their score and iteratively added to the calibration frame set according to an objective function. The selected frame set may be selected from the candidates based on a reference frame, which may be a most recently captured frame, for example. A device platform including a CM and comporting with the exemplary architecture may enhance multi-camera functionality in the field by keeping calibration parameters current. Various computer vision algorithms may then rely upon these parameters, for example.