From 0ac84755a0befac55563e48c6dbff9328aa4c675 Mon Sep 17 00:00:00 2001 From: edgarriba Date: Wed, 30 Jul 2014 12:10:29 +0200 Subject: [PATCH] Update tutorial --- doc/tutorials/calib3d/real_time_pose/real_time_pose.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/tutorials/calib3d/real_time_pose/real_time_pose.rst b/doc/tutorials/calib3d/real_time_pose/real_time_pose.rst index 26f16b3..d2564e4 100644 --- a/doc/tutorials/calib3d/real_time_pose/real_time_pose.rst +++ b/doc/tutorials/calib3d/real_time_pose/real_time_pose.rst @@ -38,7 +38,7 @@ The most common simplification is to assume known calibration parameters which i **Problem Formulation:** Given a set of correspondences between 3D points :math:`p_i` expressed in a world reference frame, and their 2D projections :math:`u_i` onto the image, we seek to retrieve the pose (:math:`R` and :math:`t`) of the camera w.r.t. the world and the focal length :math:`f`. -OpenCV provides three different approaches to solve the Perspective-*n*-Point problem which return :math:`R` and :math:`t`. Then, using the following formula it's possible to project 3D points into the image plane: +OpenCV provides four different approaches to solve the Perspective-*n*-Point problem which return :math:`R` and :math:`t`. Then, using the following formula it's possible to project 3D points into the image plane: .. math:: -- 2.7.4