%##########################################################################
%% DGSAC: Density Guided SAmpling and Consensus
%% This package contains the source code which implements DGSAC (A Robust Multi-Model Fitting Pipeline) proposed in
% L. Tiwari, and S. Anand 
% DGSAC: Density Guided SAmpling and Consensus, 
% In Proceedings of the Winter Conference on Applications of Computer Vision (WACV),
% March 2018, Lake Tahoe, Nevada, USA
% 
% Copyright (c) 2018 L. Tiwari (lokendert@iiitd.ac.in)
% Infosys Center for Artificial Intelligence,
% Dept. of Computer Science and Engineering, IIIT-Delhi, India
% https://lokender.bitbucket.io/
%% Please acknowledge the authors by citing the above paper in any academic 
%  publications that have made use of this package or part of it.
%##########################################################################

%% Please report any bug to lokendert@iiitd.ac.in %%



To run demos

open dgsac_demo.m file and toggle following lines in order to a run specific demo example

%test_case='line';
test_case='VP';
%test_case='homography';
%test_case='fundamental';