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estimateIntrinsicLie.m
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estimateIntrinsicLie.m
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%{
* Copyright (C) 2013-2025, The Regents of The University of Michigan.
* All rights reserved.
* This software was developed in the Biped Lab (https://www.biped.solutions/)
* under the direction of Jessy Grizzle, grizzle@umich.edu. This software may
* be available under alternative licensing terms; contact the address above.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
* The views and conclusions contained in the software and documentation are those
* of the authors and should not be interpreted as representing official policies,
* either expressed or implied, of the Regents of The University of Michigan.
*
* AUTHOR: Bruce JK Huang (bjhuang[at]umich.edu)
* WEBSITE: https://www.brucerobot.com/
%}
function [delta, plane, valid_targets] = estimateIntrinsicLie(num_beams, num_targets, num_scans, data_split_with_ring, object_list, check_rings)
delta(num_beams).H = struct();
delta(num_beams).Affine = struct();
if ~exist('check_rings', 'var')
check_rings = 1;
end
for i = 1: num_scans
% Calculate 'ground truth' points by projecting the angle onto the
% normal plane
%
% Assumption: we have the normal plane at this step in the form:
% plane_normal = [nx ny nz]
% example normal lies directly on the x axis
opt.corners.rpy_init = [45 2 3];
opt.corners.T_init = [2, 0, 0];
opt.corners.H_init = eye(4);
opt.corners.method = "Constraint Customize"; %% will add more later on
opt.corners.UseCentroid = 1;
plane = cell(1,num_targets);
for t = 1:num_targets
if ~exist('object_list', 'var')
X = [];
for j = 1: num_beams
X = [X, data_split_with_ring{t}(j).points];
end
[plane{t}, ~] = estimateNormal(opt.corners, X(1:3, :), 1.5);
else
if ~isfield(object_list(t), 'centroid') || ~isfield(object_list(t), 'normal')
[normal, centroid] = computePlane(object_list(t));
plane{t}.centroid = [centroid; 1];
plane{t}.normals = normal;
plane{t}.unit_normals = normal/(norm(normal));
else
plane{t}.centroid = [object_list(t).centroid; 1];
plane{t}.normals = object_list(t).normal;
plane{t}.unit_normals = object_list(t).normal/(norm(object_list(t).normal));
end
end
end
opt.delta.rpy_init = [0 0 0];
opt.delta.T_init = [0, 0, 0];
opt.delta.scale_init = 1;
opt.delta.H_init = eye(4);
[delta, ~, valid_targets] = estimateDeltaLie(opt.delta, data_split_with_ring, plane, delta(num_beams), num_beams, num_targets, check_rings);
end
end