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PhotoSynth Dataset for improving local patch Descriptors
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DownloadDataset.md
PS-illum.jpg
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PreTrainedModel.md
README.md
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README.md

PS-Dataset

A Large Dataset for improving Patch Matching

Using Pre-Trained Model

Using Our Dataset

[Added Full Resolution RGB Images]

Link to paper -

https://arxiv.org/abs/1801.01466

Contributors -

Rahul Mitra, Nehal Doiphode, Utkarsh Gautam, Sanath Narayan, Shuaib Ahmed, Sharat Chandran, Arjun Jain

Sample image pairs from dataset

Image pair showing illumination variation

alt text

Image pair showing scale variation

alt text

Image pair showing viewpoint variation

alt text

Results -

Performance comparison for patch retrieval task on HPatches dataset.

Method\Noise Easy Hard Tough Mean
SIFT 64.6 37.4 22.7 41.7
DeepDesc 67.2 52.2 37.8 52.4
Tfeat 68.4 50.8 34.7 51.3
Hardnet+ 79.7 68.7 52.6 66.7
Hardnet-PS 82.5 78.0 69.1 76.5

Performance comparison for image matching task on Fountain-P11 scene

Method\Baseline Narrow Wide Very-wide Mean
DeepDesc 76.3 40.8 9.2 40.0
Tfeat 86.6 62.8 21.9 57.1
Hardnet+ 92.4 83.2 35.0 70.2
Hardnet-PS 92.8 85.3 47.0 75.0

Performance comparison for image matching task on Herzjesu-P8 scene

Method\Baseline Narrow Wide Mean
DeepDesc 64.4 13.1 35.1
Tfeat 76.6 27.4 48.5
Hardnet+ 85.1 44.5 61.9
Hardnet-PS 85.1 50.6 65.4

Scene statistics-

Statistics and parameters for each scene in the training set

Scene Id No. images No. points No. Patches MIN_V_TH MAX_V_TH No. Pairs
11 155 5724 31174 10° 50° 59098
13 436 143150 788401 45° 1447833
14 315 115183 728302 10° 50° 1257142
15 239 69725 395021 10° 50° 733752
16 214 14634 94585 10° 50° 161737
20 381 41524 329980 10° 50° 702957
24 274 121992 788657 10° 50° 1713912
30 345 150087 760203 10° 50° 603327
34 142 7353 32198 10° 50° 52460
36 278 68656 395547 45° 361799
41 268 29308 181515 10° 50° 372813
49 219 69301 346042 10° 70° 325492
50 302 61846 235538 10° 50° 294323
51 251 97293 620192 10° 50° 692386
53 269 80025 532245 10° 50° 1399146
65 153 86016 227226 72° 202294
66 232 142459 426105 10° 72° 411762
67 98 37412 279194 50° 1372920
71 309 65116 457196 10° 50° 1111475
74 207 51107 320927 10° 50° 662981
76 254 93127 535378 10° 50° 1172380
89 214 63498 641700 15° 50° 1503677
90 388 92334 731818 15° 50° 811130
91 182 78961 750676 12° 50° 1664135
95 201 21677 106001 10° 72° 110641

Statistics and parameters for each scene in the validation set

Scene Id No. images No. points No. Patches MIN_V_TH MAX_V_TH No. Pairs
4 264 107549 602331 10° 50° 965990
23 249 66492 328555 10° 50° 576180
31 262 25451 164984 10° 50° 147734
44 87 57944 157953 72° 98134
88 99 4850 54781 50° 235524
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