Provided by: mrcal_2.4.1-3build1_amd64 bug

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) 2017-2023 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