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Task 1.15.8 Added stubs for LinearPnP.py
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adityavaishampayan committed Mar 20, 2020
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# -*- coding: utf-8 -*-

"""
MIT License
Copyright (c) 2018 Aditya Vaishampayan, Amrish Bhaskaran
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""

# @file LinearPnP.py
# @Author Aditya Vaishampayan (adityavaishampayan)
# @Author Amrish Baskaran (amrish1222)
# @copyright MIT
# @brief a function that estimates the camera pose using linear least squares

import sys

# noinspection PyBroadException
try:
sys.path.remove('/opt/ros/kinetic/lib/python2.7/dist-packages')
except:
pass

# G


def linear_pnp(correspondences_2d_3d: float, calibration_matrix: float) -> float:
"""
Given 2D-3D correspondences, X↔x and the intrinsic parameter K, estimate the camera pose using linear least squares
:param correspondences_2d_3d: 2D to 3D point correspondences
:param calibration_matrix: intrinsic matrix K
:return: estimated camera pose using linear least square
"""
...

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