필터 지우기
필터 지우기

Miscalculation of new function "pcsegdist" in Matlab R2018b

조회 수: 1 (최근 30일)
ha ha
ha ha 2019년 3월 2일
댓글: Farah Saeed 2021년 7월 9일
I try to test the new function "pcsegdist" in Matlab R2018b. However, the result is wrong for Segment point cloud into clusters based on Euclidean distance
Example: I test with 3D data points- 1797 points (please see attached test.txt file). It is noted that the smallest distance between 2 neighbor points is 0.3736
tic
clear;clc;filename = 'test.txt'; load('test.txt');P = test(:,1:3);%get data=coordinate(x,y,z) from set of data "column" at (all row & column 1,2,3)
ptCloud = pointCloud(P);
minDistance = 0.71;%this value should less than the smallest 3D distance between 2 clusters
[labels,numClusters] = pcsegdist(ptCloud,minDistance);%numClusters: the number of Cluster
%labels: is the kx1 matrix. This is index of each voxel in each cluster
toc
%% Generate the cell_cluster
cell_cluster={};x=P(:,1);y=P(:,2);z=P(:,3);
for i=1:numClusters
cluster_i=[x(labels==i),y(labels==i),z(labels==i)];%call x,y,z coord of all points which is belong the same cluster
cell_cluster{end+1} = cluster_i;%this is (1xk)cell. where k=number of cluster
end
figure;Plot_cell(cell_cluster);view(3);% plot result cluster(using function to plot)
But when I verify by using manually method (ground truth data), the result should as below figure:
image.jpeg
Thus, I wonder about the result of new function "pcsegdist" in Matlab R2018b, Or I misunderstand or I wrong somewhere ?
  댓글 수: 4
ha ha
ha ha 2020년 7월 9일
As I described in my question: "the smallest 3D distance between 2 neighbor points is 0.3736". Thus, with parameter setting "minDistance = 0.71", this should be 1 cluster (not 2 clusters as the result of new function "pcsegdist" in Matlab R2018b)
Farah Saeed
Farah Saeed 2021년 7월 9일
Hi did you happen to find answer for this. Thanks.

댓글을 달려면 로그인하십시오.

답변 (0개)

카테고리

Help CenterFile Exchange에서 Point Cloud Processing에 대해 자세히 알아보기

태그

제품


릴리스

R2018b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by