Tests not passing

[UannaFF]

Hello! i'm trying to use super4pcs to align some point clouds but the results i'm getting doesn't show both point clouds, it show's only one. Output:

./CloudPointProcessing -i ~/Documents/QopiusLabs/AnnaG/20190301141047_1_points.ply ~/Documents/QopiusLabs/AnnaG/20190301141004_1_points.ply -o 0.7 -d 0.01 -t 1000 -n 200 -r super4pcs_fast.obj -m mat_super4pcs_fast.txt
(PLY) ignoring unknown element camera
haveColor
(PLY) ignoring unknown element camera
haveColor
Starting registration
norm_max_dist: 0.01
Initial LCP: 0.07
Score: 0.11est: 0.110000
(Homogeneous) Transformation from /home/anigomez/Documents/QopiusLabs/AnnaG/20190301141004_1_points.ply to /home/anigomez/Documents/QopiusLabs/AnnaG/20190301141047_1_points.ply:
-0.20072 0.958297 -0.203415 0.181052
-0.979048 -0.188956 0.0758961 -0.198169
0.0342946 0.214387 0.976147 0.0183284
0 0 0 1
Exporting Matrix to mat_super4pcs_fast.txt...
Export DONE
Exporting Registered geometry to super4pcs_fast.obj...
Export DONE

20190301141004_1_points .txt
20190301141047_1_points.txt

After this I ran the tests to check everything was fine and there's a problem in matching3pcs:

Running tests...
Test project /home/anigomez/Documents/QopiusKinect3DPipeline/3rdParty/OpenGR/build
Start 1: externalAppTest
1/6 Test #1: externalAppTest .................. Passed 0.01 sec
Start 2: pair_extraction
2/6 Test #2: pair_extraction .................. Passed 2.38 sec
Start 3: matching_0
3/6 Test #3: matching_0 ....................... Passed 78.03 sec
Start 4: matching_1
4/6 Test #4: matching_1 ....................... Passed 2.52 sec
Start 5: matching3pcs_0
5/6 Test #5: matching3pcs_0 ...................***Exception: Other 0.21 sec
Start 6: matching3pcs_1
6/6 Test #6: matching3pcs_1 ................... Passed 0.06 sec

83% tests passed, 1 tests failed out of 6

Total Test time (real) = 83.21 sec

The following tests FAILED:
5 - matching3pcs_0 (OTHER_FAULT)
Errors while running CTest
Makefile:129: recipe for target 'test' failed
make: *** [test] Error 8

[UannaFF]

Hi saw that the output includes only the common data(?), I tried taking the last transformation matrix and applying the transformation to the original data and join them. But the transformation is giving me a worse alignment than the original.

Original

Transformed:

I'm using the demo Super4PCS. Idk if I can get my desired output, that shows all the points from both point clouds but aligned.