Miscalculation of new function "pcsegdist" in Matlab R2018b
Mostrar comentarios más antiguos
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:


Thus, I wonder about the result of new function "pcsegdist" in Matlab R2018b, Or I misunderstand or I wrong somewhere ?
4 comentarios
Jack Hayton
el 18 de Abr. de 2019
I am also interested in the answer to this, pehaps someone who has a better understanding of the function can explain how exactly it works in more detail? The comments do not explain enough...
Image Analyst
el 9 de Jul. de 2020
What is the y distance between the upper blue "6" dot, and the lower brown "5" dot? If it's more than 0.71 then it's reasonable for the function to call the blue and brown as separate classes.
ha ha
el 9 de Jul. de 2020
Farah Saeed
el 9 de Jul. de 2021
Hi did you happen to find answer for this. Thanks.
Respuestas (0)
Categorías
Más información sobre Process Point Clouds en Centro de ayuda y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!