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Camera Projection Matrix (Uncalibrated Case)
a. Linear Estimation by Direct Linear Transform (DLT)
b. Nonlinear Optimization by Dense Lavenberg-Marquardt (LM)
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Camera Pose Matrix (Calibrated Case)
a. Outlier Rejection by MSAC by Finswelder Solution to calculate Camera Pose Matrix
b. Linear Estimation by EPnP
c. Nonlinear Estimation by Dense Lavenberg-Marquardt (LM)
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Planar Projective Transformation
a. Feature Detection by Shi-Tomashi Corner Detection Algorithm
b. Feature Detection by One-to-One Naive Matching Algorithm
c. Outlier Rejection by 4-Point algorithm to calculate Homography matrix
d. Linear Estimation by Direct Linear Transofrom (DLT)
e. Nonlinear Estimation by Sparse Lavenberg-Marquardt (LM) jointly optimized scence points
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Fundamental Matrix (Uncalibrated Case)
a. Feature Detection by Shi-Tomashi Corner Detection Algorithm
b. Feature Detection by One-to-One Naive Matching Algorithm
c. Outlier Rejection by 7-Point algorithm to calculate Fundamental matrix
d. Linear Estimation by Direct Linear Transofrom (DLT)
e. Nonlinear Estimation by Sparse Lavenberg-Marquardt (LM) jointly optimized 3D scence points(Derived by Triangulation)