The Random Cluster Model for Robust Geometric Fitting
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Updated
Jan 21, 2018 - C++
The Random Cluster Model for Robust Geometric Fitting
Change a 2D image into 3D (Tour-Into-the-Picture)
Use OpenCV 2D Features framework to transform images of one scene into the same coordinate system and make a panorama.
OpenCV4 C++ camera calibration in some lines
Simple camera-to-world (z=0) coordinates transformation via homography matrix, OpenCV, C++. Uses the output from https://github.com/rodolfoap/points-picker
Screen to world coordinates conversion using Perspective-N-Points strategy - OpenCV4 solvePnP().
Screen to world coordinates C++ conversion using Perspective-N-Points strategy - OpenCV4 solvePnP(), using distances generated from detection boxes.
C++ implementation of Lucas-Kanade-Image-Alignment
Calculates the 3x3 homography matrix from a given set of corresponding point pairs to transform between two points of view.
💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
c++ solve direct linear transform(DLT) problems in 4 points condition(calculate homography matrix)
A projective transformation of an image
A geometrical stabilization model is proposed to compensate the distortion of the projected image by a drone-projector due to GPS sensor error or vibration from propeller.
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