公开(公告)号：US11210811B2

公开(公告)日：2021-12-28

申请号：US16339251

申请日：2016-11-03

Applicant: Intel Corporation

Inventor： Yong Jiang ,  Caihong Ma ,  Xiaorui Xu ,  Mahamood Hussain

IPC: G06T7/80 ,  G06F17/16

Abstract: In one example, a system for real-time three-dimensional (3D) calibration includes a processor detecting mark corners at two-dimensional (2D) coordinates in an image coordinate system of an image of a specified pattern. The processor determines 3D coordinates of the mark corners in a world coordinate system based on the pattern. The 3D coordinates correspond to the 2D coordinates. The processor determines baseline depth values corresponding to original depth values for proper points on a mark plane, based on the 2D coordinates and the 3D coordinates. The processor generates a fitting model based on the baseline depth values.

公开(公告)号：US20190236806A1

公开(公告)日：2019-08-01

申请号：US16339251

申请日：2016-11-03

Applicant: Intel Corporation

Inventor： Yong Jiang ,  Caihong Ma ,  Xiaorui Xu ,  Mahamood Hussain

IPC: G06T7/80 ,  G06F17/16

CPC classification number: G06T7/85 ,  G06F17/16 ,  G06T7/80 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/10048 ,  G06T2207/30204

Abstract: In one example, a system for real-time three-dimensional (3D) calibration includes a processor detecting mark corners at two-dimensional (2D) coordinates in an image coordinate system of an image of a specified pattern. The processor determines 3D coordinates of the mark corners in a world coordinate system based on the pattern. The 3D coordinates correspond to the 2D coordinates. The processor determines baseline depth values corresponding to original depth values for proper points on a mark plane, based on the 2D coordinates and the 3D coordinates. The processor generates a fitting model based on the baseline depth values.

公开(公告)号：US20190116354A1

公开(公告)日：2019-04-18

申请号：US16116495

申请日：2018-08-29

Applicant: INTEL CORPORATION

Inventor： Shaojun Yao ,  Caihong Ma

IPC: H04N13/246 ,  G06T7/73 ,  G06K9/46

Abstract: In some examples, a camera calibration method for calibrating a plurality of cameras includes determining a relationship between each camera and a unique coordinate system. The calibration method also includes determining a positional relationship between all of the plurality of cameras based on the relationships between each of the cameras and the unique coordinate system.