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PatchTable: Efficient Patch Queries for Large Datasets and Applications
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patchtable
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README.md

README.md

PatchTable

This is the source code for the project PatchTable, presented at ACM SIGGRAPH 2015. PatchTable speeds up patch queries by making a precomputed index data structure. The precomputation is assumed to be an offline process that can take seconds to minutes.

Currently this code runs on Mac and Windows.

License

The code can be used for non-commercial research purposes. For a commercial license, contact the authors.

Citations

If you use this in an academic setting, please cite our paper (BibTeX):

  • PatchTable: Efficient Patch Queries for Large Datasets and Applications. Connelly Barnes, Fang-Lue Zhang, Liming Lou, Xian Wu, Shi-Min Hu. ACM Transactions on Graphics (Proc. SIGGRAPH) 2015.

Install Dependencies

The dependency libraries should be installed:

  • libpng
  • png++
  • OpenCV
  • FLANN
  • ANN
  • Boost

Build Command-line

PatchTable can be built on Mac OS 10.10:

cd patchtable/proj
make -j                           % Parallel build

PatchTable can be built on Windows 7 64-bit Operating System with Visual Studio 2013:

  • The user needs to change project property->Configuration Properties->VC++ Directories to point to their own directory and add the dependency libraries.
  • The patchtable.exe binary will be created in a directory such as patchtable\patchtable\VSproj\ConsoleApplication1\x64\Release\.

Command-line Usage

For the documentation of the command-line tool, run:

./patchtable

Example of matching with accuracy roughly similar to PatchMatch:

./patchtable match vidpair0/a.png vidpair0/b.png out.pfm

Example of matching with increased coherence (mimics smooth NNFs of PatchMatch):

./patchtable match vidpair0/a.png vidpair0/b.png out.pfm -speed 3 -coherence_spatial 4

Simple C++ Code Example

Here is a simple code fragment of how PatchTable could be used in your own C++ program:

PatchTableParams p(argc, argv);  /* Initialize with command-line arugments */

Array<float> a(load_color_image<float>(a_filename));
Array<float> b(load_color_image<float>(b_filename));

double T_build_table_start = wall_time();
PatchTable<> table(&p, b);
printf("Build table time: %f seconds\n", wall_time() - T_build_table_start);

Array<double> ann;

double T_query = table.lookup(a, ann);
printf("Query time: %f seconds\n", T_query);

/* Explanation of ann (nearest neighbor field matching from a -> b):
   int b_patch_x       = ann(a_patch_y, a_patch_x, NNF_X);
   int b_patch_y       = ann(a_patch_y, a_patch_x, NNF_Y);
   double b_patch_dist = ann(a_patch_y, a_patch_x, NNF_DIST); */

save_color_image(ann, out_filename);

For more detailed usage of PatchTable, see the test_match function in patchtable_main.cpp.

GUI (Windows)

The Windows GUI code for image editing and stitching is in patchtable_apps/ImgCollection/Superes.

The Light field super-resolution code is in patchtable_apps/HybridSuperres/Superes. The input file lists are HybridSuperres/Superes/Highresolution.txt and lowresolutionFile.txt. These contain the locations for the high and low resolution PNG files for each of the camera views. When the program runs sucessfully, it will create a folder named result in HybridSuperres/Superes/ All the parameters are set in the code which are used to produce the same reference images in our paper.

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