Visual Servoing Platform  version 3.0.0
Tutorial: Installation from source on Linux Ubuntu

In this tutorial you will learn how to install ViSP from source on Linux Ubuntu. These steps have been tested for Ubuntu 14.04 (64 bit) distribution, but should work with any other distribution as well.

Concerning ViSP installation, we provide also other Tutorials.

Install prerequisities

  • gcc 4.4.x or later. This can be installed with:
    sudo apt-get install build-essential
  • CMake 2.6 or higher that could be installed with:
    sudo apt-get install cmake-curses-gui

Install 3rd parties

ViSP is interfaced with several optional 3rd party libraries. The complete list is provided here.

Recommended 3rd parties

We recommend to install the following:

  • OpenCV
    sudo apt-get install libopencv-dev
  • libX11 to be able to open a window to display images
    sudo apt-get install libx11-dev
  • lapack to benefit from optimized mathematical capabilities
    sudo apt-get install liblapack-dev
  • libdc1394 to grab images from firewire cameras
    sudo apt-get install libdc1394-22-dev
  • libv4l to grab images from usb or analogic cameras
    sudo apt-get install libv4l-dev
  • libxml2 to be able to configure the model-based trackers from xml files
    sudo apt-get install libxml2-dev
  • QR code detection
    sudo apt-get install libzbar-dev

Other optional 3rd parties

We give also the way to install other 3rd party libraries to enable specific capabilities.

  • Coin, to be able to support vrml cad model used by the model-based trackers
    sudo apt-get install libcoin80-dev
  • libjpeg and libpng to support jpeg and png images respectively (only useful if OpenCV is not installed)
    sudo apt-get install libjpeg-dev libpng12-dev
  • ffmpeg, to be able to read or encode compressed video streams (only useful if OpenCV is not installed)
    sudo apt-get install libswscale-dev libavutil-dev libavformat-dev libavcodec-dev libbz2-dev libbz2-1.0
  • Ogre 3D if you want to do augmented reality or simulation
    sudo apt-get install libogre-1.9-dev libois-dev
  • Datamatrix code detection
    sudo apt-get install libdmtx-dev

Install ViSP from source code

Getting ViSP source code

There are different ways to get ViSP source code:

  • You can download the latest release as a zip or a tarball. Once downloaded, uncompress the file using either
    tar xvzf visp-x.y.z.tar.gz
  • You can also download a daily snapshot. Once downloaded, uncompress the file using
    tar xvzf visp-snapshot-yyyy-mm-dd.tar.gz
  • Or you get the cutting-edge ViSP from GitHub repository using the following command
    $ git clone

We suppose now that ViSP source is in a directory denoted <source_dir>, for example $HOME/visp

Configuring ViSP from source

  • Create first a directory denoted <binary_dir> where you want to build ViSP. This directory will contain generated Makefiles, object files, and output libraries and binaries.
    cd $HOME; mkdir visp-build
  • Enter the <binary_dir> and configure the build:
    cd $HOME/visp-build
    cmake ../visp
    A more versatile way to configure the build is to use ccmake, the CMake GUI:
    ccmake ../visp
    The following image shows that this command allows to configure (just by pressing [c] key) the build in a more advanced way where some options could be easily turned On/Off. It allows also to see which are the 3rd parties that will be used. To generate the makefiles, just press [g] key in the ccmake gui.
    Snapshot of the ccmake ../visp command used to configure ViSP.

Now we can build ViSP.

Building ViSP from source

  • To build ViSP proceed with:
    make -j4
  • To install ViSP in /usr/local which is the default install location, proceed with:
    sudo make install
    The default install location is set to /usr/local. This location could be changed modifying CMAKE_INSTALL_PREFIX var.
  • To build ViSP documentation, you have first to install Doxygen package:
    sudo apt-get install doxygen graphviz texlive-latex-base
    Then you can proceed with:
    make -j4 visp_doc

Install ViSP dataset

Some ViSP examples and tests require data (images, video, models) that are not part of ViSP source code but available in a separate archive named This archive could be downloaded from page. We provide here after the way to install these data if you want to run ViSP examples.

cd $HOME

We suppose now that the data are located in $HOME/ViSP-images.

$ ls $HOME/ViSP-images
Klimt circle ellipse iv mbt mire-2
LICENSE.txt calibration cube ellipse-1 line mire video

Set VISP_INPUT_IMAGE_PATH environment variable to help ViSP examples and tests to find the location of the data set. It's convenient if the environment variables is automatically added to your bash session every time a new shell is launched:

echo "export VISP_INPUT_IMAGE_PATH=$HOME" >> ~/.bashrc
source ~/.bashrc
For historical reasons VISP_INPUT_IMAGE_PATH should not contain the folder ViSP-images, but the parent folder.

From now, you can try to run ViSP examples and tests. For example you can run displayX example that should open a windows with Klimt painting image and some overlay drawings:

$ cd $HOME/visp-build
$ ./example/device/display/displayX
A click to close the windows...
A click to display a cross...
Cross position: 201, 441
A click to exit the program...

Tips and tricks

How to uninstall ViSP

After ViSP installation, you can remove installed material using:

$ sudo make uninstall

How to build only ViSP libraries

If you want to build only ViSP modules libraries, nor the examples, tutorials and tests:

$ make -j4 visp_modules

How to build a ViSP specific module

If you want to build a given module and all the dependencies:

$ make -j4 visp_<module_name>

For example to build the model-based tracker module named mbt, run:

$ make -j4 visp_mbt

Which are the targets that could be run with make ?

To know which are the target available with make:

$ make help | grep visp
... visp_tests
... visp_demos
... visp_tutorials
... visp_examples
... visp_modules
... visp_doc
... visp_core
... visp_detection
... visp_gui
... visp_io
... visp_klt
... visp_me
... visp_robot
... visp_sensor
... visp_ar
... visp_blob
... visp_visual_features
... visp_vs
... visp_vision
... visp_mbt
... visp_tt
... visp_tt_mi

Which are the 3rd party libraries that are used in ViSP ?

To see which are the optional 3rd parties that are found during the configuration stage and that will be used by ViSP during the build you can have a look to the text file named ViSP-third-party.txt and located in <binary_dir>. We provide hereafter an example of a possible content of this file:

ViSP third-party libraries
Below you will find the list of third party libraries used to
build ViSP on your computer.
Gnu Scientific Library : no
Lapack/blas : yes
Ogre simulator : no
\- Ogre3D : no
\- OIS : no
Coin simulator : no
\- Coin3D : no
\- SoWin : no
\- SoXt : no
\- SoQt : no
\- Qt4 : no
\- Qt3 : no
Afma6 : no
Afma4 : no
Biclops : no
Ptu46 : no
Pioneer : no
Viper S650 : no
Viper S850 : no
Video devices (display)
X11 : yes
GTK : no
OpenCV : yes
GDI : no
Direct3D : no
Firewire libdc1394-2.x : yes
Video For Linux Two : yes
DirectShow : no
CMU 1394 Digital Camera SDK : no
OpenCV : yes
Specific devices
Yarp : no
Kinect : no
\-libfreenect : no
\-libusb-1.0 : no
\-pthread : yes
Video and image Read/Write:
libjpeg : no
libpng : no
XML2 : yes
pthread : yes
OpenMP : yes
zbar : yes
dmtx : no
Doxygen : no
Graphviz dot : no
ViSP built with C++11 features: no

Next tutorial

You are now ready to see the next Tutorial: How to create and build a CMake project that uses ViSP on Unix or Windows that will show you how to use ViSP as a 3rd party to build your own project.