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Not sure if this is the proper forum for asking but here goes:

I am working on trying to match partially occluded shape contours and am trying various approaches. Most recently, I tried Generalized Hough Transform and that may be my fallback position. That said, I am looking for something that gives better recognition in shorter times.

I am considering implementing the contour fragment matching approach described in: Xingang, et al., "Bag of Contour Fragments for Robust Shape Classification" (2014). http://dl.acm.org/citation.cfm?id=2589350

Does anyone have any experience with this approach that they would be willing to share?

More importantly, has anyone implemented this using OpenCV and would they be willing to share some code?

For those interested, Matlab code is available (https://bitbucket.org/xinggangw/bcf/src) but I am hoping to avoid porting it.

Thanks, James

Not sure if this is the proper forum for asking but here goes:

I am working on trying to match partially occluded shape contours and am trying various approaches. Most recently, I tried Generalized Hough Transform and that may be my fallback position. That said, I am looking for something that gives better recognition in shorter times.

I am considering implementing the contour fragment matching approach described in: Xingang, et al., "Bag of Contour Fragments for Robust Shape Classification" (2014). http://dl.acm.org/citation.cfm?id=2589350

Does anyone have any experience with this approach that they would be willing to share?

More importantly, has anyone implemented this using OpenCV and would they be willing to share some code?

This method relies on Discrete Contour Evolution and code for that would also be very helpful.

For those interested, Matlab code is available (https://bitbucket.org/xinggangw/bcf/src) but I am hoping to avoid porting it.

Thanks, James