Appendix D: Performance evaluation data

The detailed data for the performance evaluation is given tables below. In any table, each row shows the execution time (in second) of inserting a vector noise into a Blender scene whose name is given in the table name, and the time (also in second) of verifying the distortions regions on a frame rendered from the scene.

The tests are proceeded on a workstation of Intel®️Core™️i5 2.5 GHz CPU, 32 GB RAM. The noise insertion and noise verification do not need GPU.

Table 3:

Vector length	Insertion time	Verification time
2	0.747	0.343
5	0.785	0.845
7	0.822	1.059
10	0.871	1.525
12	0.923	1.855
15	0.982	2.352
17	1.061	2.612
19	1.062	2.929
20	1.092	3.081
21	1.094	3.217
23	1.163	3.508
25	1.204	3.786
27	1.241	4.182
29	1.330	4.475
30	1.335	4.673
32	1.394	5.059
35	1.472	5.585
37	1.490	5.982
40	1.612	6.409

Coca-Cola

Table 4:

Vector length	Insertion time	Verification time
2	0.920	0.477
5	1.300	1.077
7	1.524	1.412
10	2.085	1.976
12	2.239	2.286
15	2.550	2.722
17	2.865	3.068
19	3.153	3.453
20	3.269	3.527
21	3.439	3.747
23	3.592	4.123
25	3.975	4.546
27	4.279	4.913
29	4.594	5.313
30	4.666	5.557
32	5.087	5.812
35	5.434	6.265
37	5.729	6.654
40	6.229	7.116

Grease Pencil Bike scheme

Table 5:

Vector length	Insertion time	Verification time
2	3.959	0.546
5	7.125	0.922
7	7.468	1.251
10	8.938	1.642
12	9.934	1.871
15	12.773	2.443
17	13.721	2.751
19	14.028	3.083
20	15.351	3.228
21	15.766	3.347
23	17.384	3.717
25	18.587	3.978
27	21.182	4.281
29	21.549	4.523
30	22.224	4.706
32	23.549	5.037
35	27.202	5.444
37	29.063	5.764
40	29.277	6.087

Blender 3.5 Splash scheme

Table 6:

Vector length	Insertion time	Verification time
2	2.313	0.657
5	5.012	1.152
7	10.228	1.498
10	15.495	1.997
12	17.667	2.415
15	19.627	2.964
17	23.986	3.311
19	26.091	3.738
20	27.808	3.816
21	28.326	4.080
23	31.014	4.479
25	32.523	4.770
27	34.605	5.151
29	36.062	5.462
30	36.456	5.710
32	38.921	6.031
35	42.441	6.496
37	44.138	6.919
40	49.456	7.458

Bathroom Above Corner scheme