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Virtual camera is created only using opencv and numpy. It simulates a camera where we can control all its parameters, intrinsic and extrinsic to get a better understanding how each component in the camera projection matrix affects the final image of the object captured by the camera.
Detection of a plane in 3D space using aruco markers. Based on Automatic Workspace Calibration Using Homography for Pick and Place - IEEE CASE 2023, Auckland, New Zealand | DOI: 10.1109/CASE56687.2023.10260601
📐 Written in Python 3 and Qt5, this software allows the application of 2D graphical geometric transformations like translation, shearing, scale, rotation, and reflection/mirroring in a polygon specified by the user.
It is aimed to obtain a final panorama image that will combine the subimages provided using key point identification methods (SIFT/SURF and ORB) and include all the scenes in the subimages.