Active geometric shape models

版本 1.6.0.0 (4.4 MB) 作者: Quan Wang

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

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更新时间 2014/4/28

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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

引用格式

Quan Wang (2024). Active geometric shape models (https://www.mathworks.com/matlabcentral/fileexchange/38358-active-geometric-shape-models), MATLAB Central File Exchange. 检索来源 2024/4/28.

Wang, Quan, and Kim L. Boyer. “The Active Geometric Shape Model: A New Robust Deformable Shape Model and Its Applications.” Computer Vision and Image Understanding, vol. 116, no. 12, Elsevier BV, Dec. 2012, pp. 1178–94, doi:10.1016/j.cviu.2012.08.004.

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Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Transforms > Hough Transform >

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AGSM_toolkit_v2.3/code/

compile.m

AGSM_toolkit_v2.3/code/arbitrary_ellipse_fitting/

AGSM_toolkit_v2.3/code/circle_fitting/

AGSM_toolkit_v2.3/code/force_field/

gaussianBlur(I,s)

AGSM_toolkit_v2.3/code/line_fitting/

AGSM_toolkit_v2.3/code/math/

AGSM_toolkit_v2.3/code/spline_contour_fitting/

版本	已发布	发行说明
1.6.0.0	2014/4/28	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.	下载
1.5.0.0	2014/3/24	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.	下载
1.4.0.0	2014/3/21	New features in AGSM version 2.1: 1 We added the AGSM Canvas App, which is an interactive software.	下载
1.3.0.0	2014/3/21	Fixed some typos in PPT.	下载
1.2.0.0	2014/3/20	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 in C++/MEX.	下载
1.1.0.0	2012/9/28	changed the description	下载
1.0.0.0	2012/9/26		下载

MLA	Wang, Quan, and Kim L. Boyer. “The Active Geometric Shape Model: A New Robust Deformable Shape Model and Its Applications.” Computer Vision and Image Understanding, vol. 116, no. 12, Elsevier BV, Dec. 2012, pp. 1178–94, doi:10.1016/j.cviu.2012.08.004.
APA	Wang, Q., & Boyer, K. L. (2012). The active geometric shape model: A new robust deformable shape model and its applications. Computer Vision and Image Understanding, 116(12), 1178–1194. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.cviu.2012.08.004
BibTeX	@article{Wang_2012, doi = {10.1016/j.cviu.2012.08.004}, url = {https://doi.org/10.1016%2Fj.cviu.2012.08.004}, year = 2012, month = {dec}, publisher = {Elsevier {BV}}, volume = {116}, number = {12}, pages = {1178--1194}, author = {Quan Wang and Kim L. Boyer}, title = {The active geometric shape model: A new robust deformable shape model and its applications}, journal = {Computer Vision and Image Understanding} }

Active geometric shape models