公开(公告)号：US12094152B2

公开(公告)日：2024-09-17

申请号：US17442937

申请日：2020-03-05

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Weiqiang Kong ,  Deyun Lv ,  Wei Zhong ,  Risheng Liu ,  Xin Fan ,  Zhongxuan Luo

IPC: G06T7/70 ,  G06T7/90

CPC classification number: G06T7/70 ,  G06T7/90

Abstract: The present invention discloses a method for fully automatically detecting chessboard corner points, and belongs to the field of image processing and computer vision. Full automatic detection of chessboard corner points is completed by setting one or a plurality of marks with colors or certain shapes on a chessboard to mark an initial position, shooting an image and conducting corresponding processing, using a homography matrix H calculated by initial pixel coordinates of a unit grid in a pixel coordinate system and manually set world coordinates in a world coordinate system to expand outwards, and finally spreading to the whole chessboard region. The method has the advantages of simple procedure and easy implementation; the principle of expanding outwards by a homography matrix is used, so that the running speed of the algorithm is fast; and the corner points obtained by a robustness enhancement algorithm is more accurate, so that the situation of inaccurate corner point detection in the condition of complex illumination is avoided.

公开(公告)号：US12108022B2

公开(公告)日：2024-10-01

申请号：US17442967

申请日：2020-03-05

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Weiqiang Kong ,  Deyun Lv ,  Wei Zhong ,  Risheng Liu ,  Xin Fan ,  Zhongxuan Luo

IPC: G06K9/00 ,  G06T7/155 ,  G06V10/28 ,  H04N13/271

CPC classification number: H04N13/271 ,  G06T7/155 ,  G06V10/28 ,  G06T2207/10048 ,  G06V2201/07

Abstract: The present invention discloses a method for infrared small target detection based on a depth map in a complex scene, and belongs to the field of target detection. An infrared image is collected, the image is binarized by using priori knowledge of a to-be-detected target and adopting a pixel value method, the binary image is further limited based on deep priori knowledge, then static and dynamic scoring strategies are formulated to score a candidate connected component in the morphologically processed image, and an infrared small target in a complex scene is detected finally. The method can screen out targets within a specific range, has high reliability; has strong robustness; is simple in program and easy to implement, can be used in sea, land, and air, and has a significant advantage under a complex jungle background.

公开(公告)号：US11900634B2

公开(公告)日：2024-02-13

申请号：US17604185

申请日：2020-03-05

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY ,  PENG CHENG LABORATORY

Inventor： Wei Zhong ,  Deyun Lv ,  Weiqiang Kong ,  Risheng Liu ,  Xin Fan ,  Zhongxuan Luo ,  Shengquan Li

IPC: G06T7/80 ,  H04N17/00 ,  G06V10/75

CPC classification number: G06T7/80 ,  G06V10/75 ,  H04N17/002

Abstract: The present invention discloses a method for adaptively detecting chessboard sub-pixel level corner points. Adaptive detection of chessboard sub-pixel level corner points is completed by marking position of an initial unit grid on a chessboard, using a homography matrix H calculated by pixel coordinates of four corner points of the initial unit grid in a pixel coordinate system and world coordinates in a world coordinate system to expand outwards, adaptively adjusting size of an iteration window in the process of expanding outwards, and finally spreading to the whole chessboard region.