Active geometric shape models

The active geometric shape model is a novel approach for fitting geometric shapes in images.

For details, see this paper:
Quan Wang, Kim L. Boyer, The active geometric shape model: A new robust deformable shape model and its applications, Computer Vision and Image Understanding, Volume 116, Issue 12, December 2012, Pages 1178-1194, ISSN 1077-3142, 10.1016/j.cviu.2012.08.004.

The project wiki: https://sites.google.com/site/agsmwiki/

New features in AGSM version 2.3:

1 Robustness of closed contour fitting is dramatically improved by smart initialization (see InitialCircle.cpp).

2 Line fitting is compared to Hough transform and RANSAC least squares.

3 Circle fitting is compared to circle Hough transform.

New features in AGSM version 2.2:

1 We made the AGSM Canvas app more robust by smart initialization and image padding.

2 Only one app for both 64-bit Windows and 64-bit Mac.

New features in AGSM version 2.1:

1 We added the AGSM Canvas App, which is an interactive software.

New features in AGSM version 2.0:

1 We added the line fitting and circle fitting packages.

2 We re-implemented GVF in C++/MEX to make it much faster.

3 We implemented Bresenham algorithm in C++/MEX to generate points on a line.

4 All force/torque computations are re-implemented in C++/MEX, which significantly improves efficiency.

Please also take a look at our video demo:
http://youtu.be/c6Vto4VN5GA