From cc7aa5890d6db4100b71c2a5f04336209b77c794 Mon Sep 17 00:00:00 2001 From: Philipp Hasper Date: Mon, 8 Sep 2014 14:41:29 +0200 Subject: [PATCH] Fixing documentation links --- .../calib3d/doc/camera_calibration_and_3d_reconstruction.rst | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst index a6027c2..4f4bc25 100644 --- a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst +++ b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst @@ -740,7 +740,7 @@ where :math:`E` is an essential matrix, :math:`p_1` and :math:`p_2` are corresponding points in the first and the second images, respectively. -The result of this function may be passed further to ``decomposeEssentialMat()`` or ``recoverPose()`` to recover the relative pose between cameras. +The result of this function may be passed further to :ocv:func:`decomposeEssentialMat` or :ocv:func:`recoverPose` to recover the relative pose between cameras. decomposeEssentialMat ------------------------- @@ -812,11 +812,11 @@ Returns the number of inliers which pass the check. Only these inliers will be used to recover pose. In the output mask only inliers which pass the cheirality check. -This function decomposes an essential matrix using ``decomposeEssentialMat()`` and then verifies possible pose hypotheses by doing cheirality check. -The cheirality check basically means that the triangulated 3D points should have positive depth. Some details can be found from [Nister03]_. +This function decomposes an essential matrix using :ocv:func:`decomposeEssentialMat` and then verifies possible pose hypotheses by doing cheirality check. +The cheirality check basically means that the triangulated 3D points should have positive depth. Some details can be found in [Nister03]_. -This function can be used to process output ``E`` and ``mask`` from ``findEssentialMat()``. -In this scenario, ``points1`` and ``points2`` are the same input for ``findEssentialMat()``. :: +This function can be used to process output ``E`` and ``mask`` from :ocv:func:`findEssentialMat`. +In this scenario, ``points1`` and ``points2`` are the same input for :ocv:func:`findEssentialMat`. :: // Example. Estimation of fundamental matrix using the RANSAC algorithm int point_count = 100; -- 2.7.4