Overview

This code provides an implementation of the research paper:

Edgar Simo-Serra, Carme Torras, Francesc Moreno-Noguer
DaLI: Deformation and Light Invariant Descriptor
International Journal of Computer Vision (IJCV), 2015

Which was originally published in

F.Moreno-Noguer
Deformation and Illumination Invariant Feature Point Descriptor
Conference in Computer Vision and Pattern Recognition (CVPR), 2011

This allows local representation of image patches in such a way that they can be compared with strong invariance to both deformation and illumination.

The core of the code is written in C and is meant to be embedded in applications. It should be also possible to compile as a library and installed at a system level.

License

Copyright (C) <2011-2015> <Francesc Moreno-Noguer, Edgar Simo-Serra>

This program is free software: you can redistribute it and/or modify
it under the terms of the version 3 of the GNU General Public License
as published by the Free Software Foundation.

This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.      
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.

Edgar Simo-Serra, Institut de Robotica i Informatica Industrial (CSIC/UPC), January 2015.
esimo@iri.upc.edu, http://www-iri.upc.es/people/esimo/

Installation

The software depends on the ceigs library which provides an elegant C frontend to the ARPACK library. Upon installing the ceigs library it should be possible to compile both the test application and the matlab/octave by simpling running make:

$ make

Usage

The descriptor can be used both from octave (theoretically also matlab) and C. For an example of usage from C see the “test.c” file. As it should be compiled you can also run it by doing

 #!bash
 $ ./test

You should get an output as the following:

Processing point 9 x 8...
   Computing mesh...
   Computing Laplace-Beltrami...
   Computing EigenVectors...
   Computing HKS...
   Computing HKS-SI...
   Done!
Processing point 310 x 0...
   Computing mesh...
   Computing Laplace-Beltrami...
   Computing EigenVectors...
   Computing HKS...
   Computing HKS-SI...
   Done!

 ...

2 vs 6: 3967.624281
3 vs 4: 1897.634498
3 vs 5: 2542.110789
3 vs 6: 2476.372066
4 vs 5: 2614.770836
4 vs 6: 2631.432283
5 vs 6: 956.697412

Additionally it is possible to run the application from octave. Currently matlab is not supported due to a library conflict, but in theory it should also be possible. To try the octave version from the “octave/” directory launch octave and run “test” as such:

>> test

You should get an output such as:

Processing point 9 x 8...
   Computing mesh...
   Computing Laplace-Beltrami...
   Computing EigenVectors...
   Computing HKS...
   Computing HKS-SI...
   Done!

 ...

3 vs 4: 2.238990
3 vs 5: 2.119231
3 vs 6: 2.050154
4 vs 5: 3.051406
4 vs 6: 3.014572
5 vs 6: 0.891666

If you use this code please cite:

 @Article{SimoSerraIJCV2015,
    author = {Edgar Simo-Serra and Carme Torras and Francesc Moreno Noguer},
    title = {{DaLI: Deformation and Light Invariant Descriptor}},
    journal = {International Journal of Computer Vision (IJCV)} volume = {1},
    pages = {1--1},
    year = 2015,
 }

Known Issues

Currently it is not possible to run in matlab due to library conflict issues. However, it is possible to run it in octave or integrate it into any C application.

Changelog

January 2015: Initial version 1.0 release