Gaussian Mixture Models and Geodesics

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SUMMARY

The discussion centers on the implementation challenges of Gaussian Mixture Models (GMM) and Geodesic Active Contours as outlined in the research paper from Microsoft Research. The user, Wave, seeks assistance in numerically implementing equations related to GMMs and understanding the concept of Geodesic boundaries. Suggestions include exploring the Hough Transform for shape recognition and clarifying the differences between geodesic and normal contours.

PREREQUISITES
  • Understanding of Gaussian Mixture Models (GMM)
  • Familiarity with Geodesic Active Contours
  • Basic knowledge of numerical methods for implementing mathematical equations
  • Experience with image segmentation techniques
NEXT STEPS
  • Research the Hough Transform for shape recognition in image processing
  • Study the implementation of Geodesic Active Contours in programming languages like Python
  • Explore numerical methods for representing probability distributions in code
  • Learn about the mathematical foundations of Gaussian Mixture Models and their applications in image segmentation
USEFUL FOR

Researchers, computer vision practitioners, and developers working on image segmentation and mathematical modeling using Gaussian Mixture Models and Geodesic Active Contours.

Sudharaka
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Hi everyone, :)

This is a question that one of my friends sent me. It is kind of open ended and I don't have any clue about the particular area of research he is undertaking. Therefore I am posting the question here with the hope that anybody knowledgeable in this area would be able to help. :)

Question: This question is with regard to the following research paper.

http://research.microsoft.com/pubs/70262/tr-2006-10.pdf

My friend says, "I have understood the concept of Gaussian mixture models but I have trouble implementing the equations numerically. I also have no idea on the "Geodesic" boundary curve. "
 
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Sudharaka said:
Hi everyone, :)

This is a question that one of my friends sent me. It is kind of open ended and I don't have any clue about the particular area of research he is undertaking. Therefore I am posting the question here with the hope that anybody knowledgeable in this area would be able to help. :)

Question: This question is with regard to the following research paper.

http://research.microsoft.com/pubs/70262/tr-2006-10.pdf

My friend says, "I have understood the concept of Gaussian mixture models but I have trouble implementing the equations numerically. I also have no idea on the "Geodesic" boundary curve. "

Hey Sudharaka!

I do not understand what the question is. :confused:

Anyway, I can brainstorm a little seeing the type of research involved.
I can suggest taking a look at the so called Hough Transform. That should help to create numerical equations that assist in recognizing specific shapes.
 
Hi all,
I am actually the person Sudharaka is talking about (Wave)
Brief background. I'm trying to implement this image segmentation method as a computer program. I have somewhat of a good knowledge in mathematics but not in areas such as Gaussian Mixture Models.

I have two questions.

1. What is a geodesic active contour mentioned in the paper? How does it defer from a normal contour?

2. How can I represent equations such as [15] & [17] (refer paper) in a computer program?

With regard to question 2, I know it's not much of a mathematics question but if anyone has implemented mathematical formulas involving probability distributions, logarithms and partial derivatives in a computer program, can he/she share the basic methodologies of doing so?

Thanks in advance! And thank you Sudharaka for posting this and introducing me to this forum :)

http://research.microsoft.com/pubs/70262/tr-2006-10.pdf
 

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