Provided by: mrcal_2.3-3_amd64
NAME
mrcal-triangulate - Triangulate a feature in a pair of images to report a range
SYNOPSIS
$ mrcal-triangulate --range-estimate 870 left.cameramodel right.cameramodel left.jpg right.jpg 1234 2234 ## Feature [1234., 2234.] in the left image corresponds to [2917.9 1772.6] at 870.0m ## Feature match found at [2916.51891391 1771.86593517] ## q1 - q1_perfect_at_range = [-1.43873946 -0.76196924] ## Range: 677.699 m (error: -192.301 m) ## Reprojection error between triangulated point and q0: [5.62522473e-10 3.59364094e-09]pixels ## Observed-pixel range sensitivity: 103.641m/pixel (q1). Worst direction: [1. 0.]. Linearized correction: 1.855 pixels ## Calibration yaw sensitivity: -3760.702m/deg. Linearized correction: -0.051 degrees of yaw ## Calibration pitch sensitivity: 0.059m/deg. ## Calibration translation sensitivity: 319.484m/m. Worst direction: [1 0 0]. ## Linearized correction: 0.602 meters of translation ## Optimized yaw correction = -0.03983 degrees ## Optimized pitch correction = 0.03255 degrees ## Optimized relative yaw (1 <- 0): -1.40137 degrees
DESCRIPTION
Given a pair of images, a pair of camera models and a feature coordinate in the first image, finds the corresponding feature in the second image, and reports the range. This is similar to the stereo processing of a single pixel, but reports much more diagnostic information than stereo tools do. This is useful to evaluate ranging results.
OPTIONS
POSITIONAL ARGUMENTS models Camera models for the images. Both intrinsics and extrinsics are used images_and_features The images and/or feature pixes coordinates to use for the triangulation. This is either IMAGE0 IMAGE1 FEATURE0X FEATURE0Y or FEATURE0X FEATURE0Y FEATURE1X FEATURE1Y. If images are given, the given pixel is a feature in image0, and we search for the corresponding feature in image1. OPTIONAL ARGUMENTS -h, --help show this help message and exit --make-corrected-model1 If given, we assume the --range-estimate is correct, and output to standard output a rotated camera1 to produce this range --template-size TEMPLATE_SIZE TEMPLATE_SIZE The size of the template used for feature matching, in pixel coordinates of the second image. Two arguments are required: width height. This is passed directly to mrcal.match_feature(). We default to 13x13 --search-radius SEARCH_RADIUS How far the feature-matching routine should search, in pixel coordinates of the second image. This should be larger if the range estimate is poor, especially, at near ranges. This is passed directly to mrcal.match_feature(). We default to 20 pixels --range-estimate RANGE_ESTIMATE Initial estimate of the range of the observed feature. This is used for the initial guess in the feature- matching. If omitted, I pick 50m, completely arbitrarily --plane-n PLANE_N PLANE_N PLANE_N If given, assume that we're looking at a plane in space, and take this into account when matching the template. The normal vector to this plane is given here, in camera-0 coordinates. The normal does not need to be normalized; any scaling is compensated in planed. The plane is all points p such that inner(p,planen) = planed --plane-d PLANE_D If given, assume that we're looking at a plane in space, and take this into account when matching the template. The distance-along-the-normal to the plane, in from-camera coordinates is given here. The plane is all points p such that inner(p,planen) = planed --q-calibration-stdev Q_CALIBRATION_STDEV The uncertainty of the point observations at calibration time. If given, we report the analytically-computed effects of this noise. If a value <0 is passed-in, we infer the calibration-time noise from the optimal calibration-time residuals --q-observation-stdev Q_OBSERVATION_STDEV The uncertainty of the point observations at observation time. If given, we report the analytically-computed effects of this noise. --q-observation-stdev-correlation Q_OBSERVATION_STDEV_CORRELATION By default, the noise in the observation-time pixel observations is assumed independent. This isn't entirely realistic: observations of the same feature in multiple cameras originate from an imager correlation operation, so they will have some amount of correlation. If given, this argument specifies how much correlation. This is a value in [0,1] scaling the stdev. 0 means "independent" (the default). 1.0 means "100% correlated". --stabilize-coords, --stabilize If propagating calibration-time noise (--q-calibration-stdev != 0), we report the uncertainty ellipse in a stabilized coordinate system, compensating for the camera-0 coord system motion --method {geometric,lindstrom,leecivera-l1,leecivera-linf,leecivera-mid2,leecivera-wmid2} The triangulation method. By default we use the "Mid2" method from Lee-Civera's paper --corr-floor CORR_FLOOR This is used to reject mrcal.match_feature() results. The default is 0.9: accept only very good matches. A lower threshold may still result in usable matches, but do interactively check the feature-matcher results by passing "--viz match" --viz {match,uncertainty} If given, we visualize either the feature-matcher results ("--viz match") or the uncertainty ellipse(s) ("--viz uncertainty"). By default, this produces an interactive gnuplot window. The feature-match visualization shows 2 overlaid images: the larger image being searched and the transformed template, placed at its best-fitting location. Each individual image can be hidden/shown by clicking on its legend in the top-right of the plot. It's generally most useful to show/hide the template to visually verify the resulting alignment. --title TITLE Title string for the --viz plot. Overrides the default title. Exclusive with --extratitle --extratitle EXTRATITLE Additional string for the --viz plot to append to the default title. Exclusive with --title --hardcopy HARDCOPY Write the --viz output to disk, instead of an interactive plot --terminal TERMINAL The gnuplotlib terminal used in --viz. The default is good almost always, so most people don't need this option --set SET Extra 'set' directives to gnuplotlib for --viz. Can be given multiple times --unset UNSET Extra 'unset' directives to gnuplotlib --viz. Can be given multiple times --clahe If given, apply CLAHE equalization to the images prior to the matching
REPOSITORY
<https://www.github.com/dkogan/mrcal>
AUTHOR
Dima Kogan, "<dima@secretsauce.net>"
LICENSE AND COPYRIGHT
Copyright (c) 2017-2021 California Institute of Technology ("Caltech"). U.S. Government sponsorship acknowledged. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0