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This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can…

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Build Status

Authors :

  • [main author] Yasutaka Furukawa, Jean Ponce
  • [Windows Porting] Pierre moulon

Special thanks to ASTRE Henri for the PTHREAD 64 bits lib and dll : http://www.visual-experiments.com/

Initial port date : 13 July 2011


  • Web resources : -


-- Compilation --

  • Windows => Use precompiled binary, or compile it with VS2008/2010 (Express or pro, Pro will allow you to enable Opemp in CMVS) => Use CMake GUI in order to generate the Visual Studio project file (in ./program you will find the main CMakeLists.txt).

  • Linux => use makefile in program.

Or use CMake build system : => Install the following libraries : jpeg boost boost-graph

$ mkdir OutputLinux
$ cd OutputLinux
$ cmake . ..
$ make
=> That's all. Openmp is not activated yet.
Add openmp in the cmvs link option and define the _OPENMP cxx flags

---- Notes : ----

To test it : ./WinX-VS2010/Readme.txt "Usage of the binaries"

What have been done on native Yasutaka Furukawa source code :

  • Create the CMake build system for CMVS/PMVS2 and required library.

  • Optimize a little bit JPEG image loading.

  • Update CMVS source code in order to compile.

  • Add changes from Nghia Ho http://nghiaho.com/

    • memoize pow(2,X)
    • Change GSL simplex to lmfit.
  • Replaced GSL simplex/lmfit with nlopt optimizer

  • Replaced image loading routines with CImg. Now PPMs are supported properly, with optional support for PNG and TIFF

  • Replaced BLAS/LAPACK with Eigen

  • Updated internal jpeg library and miniBoost

  • CMake-system now supports system boost, jpeg and other libraries if available.

  • Replaced pthread with tinycthread to get rid of pthread.dll on Windows

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This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can…

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