gtsam/python/gtsam/tests/test_Triangulation.py

109 lines
4.2 KiB
Python

"""
GTSAM Copyright 2010-2019, Georgia Tech Research Corporation,
Atlanta, Georgia 30332-0415
All Rights Reserved
See LICENSE for the license information
Test Triangulation
Author: Frank Dellaert & Fan Jiang (Python)
"""
import unittest
import numpy as np
import gtsam as g
from gtsam.utils.test_case import GtsamTestCase
from gtsam import Cal3_S2, Cal3Bundler, CameraSetCal3_S2,\
CameraSetCal3Bundler, PinholeCameraCal3_S2, PinholeCameraCal3Bundler, \
Point3, Pose3, Point2Vector, Pose3Vector, Rot3, triangulatePoint3
class TestVisualISAMExample(GtsamTestCase):
""" Tests for triangulation with shared and individual calibrations """
def setUp(self):
""" Set up two camera poses """
# Looking along X-axis, 1 meter above ground plane (x-y)
upright = Rot3.Ypr(-np.pi / 2, 0., -np.pi / 2)
pose1 = Pose3(upright, Point3(0, 0, 1))
# create second camera 1 meter to the right of first camera
pose2 = pose1.compose(Pose3(Rot3(), Point3(1, 0, 0)))
# twoPoses
self.poses = Pose3Vector()
self.poses.append(pose1)
self.poses.append(pose2)
# landmark ~5 meters infront of camera
self.landmark = Point3(5, 0.5, 1.2)
def generate_measurements(self, calibration, camera_model, camera_set, *cal_params):
""" Generate vector of measurements for given calibration and camera model
Args:
calibration: Camera calibration e.g. Cal3_S2
camera_model: Camera model e.g. PinholeCameraCal3_S2
cal_params: (list of) camera parameters e.g. K1, K2
camera_set: Cameraset object (for individual calibrations)
Returns:
list of measurements and list/CameraSet object for cameras
"""
if camera_set is not None:
cameras = camera_set()
else:
cameras = []
measurements = Point2Vector()
for k, pose in zip(cal_params, self.poses):
K = calibration(*k)
camera = camera_model(pose, K)
cameras.append(camera)
z = camera.project(self.landmark)
measurements.append(z)
return measurements, cameras
def test_TriangulationExample(self):
""" Tests triangulation with shared Cal3_S2 calibration"""
# Some common constants
sharedCal = (1500, 1200, 0, 640, 480)
measurements, _ = self.generate_measurements(Cal3_S2, PinholeCameraCal3_S2, None, sharedCal, sharedCal)
triangulated_landmark = triangulatePoint3(self.poses, Cal3_S2(sharedCal), measurements, rank_tol=1e-9, optimize=True)
self.gtsamAssertEquals(self.landmark, triangulated_landmark, 1e-9)
# Add some noise and try again: result should be ~ (4.995, 0.499167, 1.19814)
measurements_noisy = Point2Vector()
measurements_noisy.append(measurements[0] - np.array([0.1, 0.5]))
measurements_noisy.append(measurements[1] - np.array([-0.2, 0.3]))
triangulated_landmark = triangulatePoint3(self.poses, Cal3_S2(sharedCal), measurements_noisy, rank_tol=1e-9, optimize=True)
self.gtsamAssertEquals(self.landmark, triangulated_landmark, 1e-2)
def test_distinct_Ks(self):
""" Tests triangulation with individual Cal3_S2 calibrations """
# two camera parameters
K1 = (1500, 1200, 0, 640, 480)
K2 = (1600, 1300, 0, 650, 440)
measurements, cameras = self.generate_measurements(Cal3_S2, PinholeCameraCal3_S2, CameraSetCal3_S2, K1, K2)
triangulated_landmark = triangulatePoint3(cameras, measurements, rank_tol=1e-9, optimize=True)
self.gtsamAssertEquals(self.landmark, triangulated_landmark, 1e-9)
def test_distinct_Ks_Bundler(self):
""" Tests triangulation with individual Cal3Bundler calibrations"""
# two camera parameters
K1 = (1500, 0, 0, 640, 480)
K2 = (1600, 0, 0, 650, 440)
measurements, cameras = self.generate_measurements(Cal3Bundler, PinholeCameraCal3Bundler, CameraSetCal3Bundler, K1, K2)
triangulated_landmark = triangulatePoint3(cameras, measurements, rank_tol=1e-9, optimize=True)
self.gtsamAssertEquals(self.landmark, triangulated_landmark, 1e-9)
if __name__ == "__main__":
unittest.main()