CODEWITHSUNDEEP
opencveigenpcasvd
0x2207
0x2207

Reputation: 964

Incremental Singular Value Decomposition for OpenCV

I have a large archive of images from outdoor camera. Close to 200000 items, each 1280x960 color pixels. I would like to index this database by constructing SVD (Eigen-images) for this data and making reduced vectors of data (say 100-dimentional vector for every picture).

Loading all this data into RAM at once would require about 200GB of RAM. Firstly, I don't have so much RAM. Secondly, it won't scale much. So, I am looking for implementation of incremental singular vector decomposition that probably should exist for libraries like OpenCV or Eigen.

I don't want to reduce resolution before making SVD because I believe that small parts (resoluted far objects) may be important to me, but reducing resolution I just lost all high-frequency features.

Upd:

Upvotes: 1

Views: 367

Answers (1)

fireant
fireant

Reputation: 14530

I haven't seen an implementation using Eigen. But it doesn't seem that difficult to code the same method that scikit-learn uses for incremental PCA.

Upvotes: 1

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