From e728f8a6eab4643b7c4e4c55a9e4c3aed4520c0e Mon Sep 17 00:00:00 2001 From: David PAGNON Date: Tue, 3 Oct 2023 09:20:08 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index dc76b05..3c8411f 100644 --- a/README.md +++ b/README.md @@ -860,7 +860,7 @@ If you want to contribute to Pose2Sim, please follow [this guide](https://docs.g ▢ **Triangulation:** [Undistort](https://docs.opencv.org/3.4/da/d54/group__imgproc__transform.html#ga887960ea1bde84784e7f1710a922b93c) 2D points before triangulating (and [distort](https://github.com/lambdaloop/aniposelib/blob/d03b485c4e178d7cff076e9fe1ac36837db49158/aniposelib/cameras.py#L301) them before computing reprojection error). ▢ **Triangulation:** Multiple person kinematics (output multiple .trc coordinates files). Triangulate all persons with reprojection error above threshold, and identify them by minimizing their displacement across frames. ▢ **Triangulation:** Offer the possibility of triangulating with Sparse Bundle Adjustment (SBA), Extended Kalman Filter (EKF), Full Trajectory Estimation (FTE) (see [AcinoSet](https://github.com/African-Robotics-Unit/AcinoSet)). -▢ **Triangulation:** Solve limb swapping (although not really an issue with Body_25b) by using RANSAC or SDS triangulation ignoring right and left, and then decide which side points are by majority voting + giving more confidence to cameras whose plane is the most coplanar to the right/left line. +▢ **Triangulation:** Solve limb swapping (although not really an issue with Body_25b). Try triangulating with opposite side if reprojection error too large. Alternatively, ignore right and left sides, use RANSAC or SDS triangulation, and then choose right or left by majority voting. More confidence can be given to cameras whose plane is the most coplanar to the right/left line. ▢ **Triangulation:** Implement normalized DLT and RANSAC triangulation, Outlier rejection (sliding z-score?), as well as a [triangulation refinement step](https://doi.org/10.1109/TMM.2022.3171102). ✔ **Filtering:** Available filtering methods: Butterworth, Butterworth on speed, Gaussian, Median, LOESS (polynomial smoothing).