Code author : Tomas Vojir
This is a C++ implementation of fast segmentation algorithm presented in "A graphical model for rapid obstacle image-map estimation from unmanned surface vehicles" paper.
It is free for research use. If you find it useful or use it in your research, please acknowledge my git repository and cite the original paper [1].
The code depends on OpenCV 2.4+ library and is build via cmake toolchain.
Quick start guide
for linux: open terminal in the directory with the code
$ mkdir build; cd build; cmake .. ; make
This code compiles into binary segment
./segment image_file_path_name x1 y1 x2 y2 apriori
- INPUT : image_file_path ... image file to be used for segmentatin (x1,y1) is top-left corner and (x2, y2) is bottom-right corner apriori (optional) ... >0 use pixel weights in extraction of foreground model (i.e. pixels near the center of the bbox have higher probability that belong to object)
- OUTPUT : visualize segmentation of the object
References
[1] M. Kristan, J. Pers, V. Sulic, S. Kovacic, "A graphical model for rapid obstacle image-map estimation from unmanned surface vehicles", in Proc. Asian Conf. Computer Vision, 2014
Copyright (c) 2014, Tomáš Vojíř
Permission to use, copy, modify, and distribute this software for research purposes is hereby granted, provided that the above copyright notice and this permission notice appear in all copies.
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.