Free Hand Sketch Recognition For Visualizing Interactive Physics

Demo from my graduation project.

The aim of the project is to develop a natural sketching system that allows the users to sketch different objects to draw simple two-dimensional classical mechanics physical model in natural and freely way as they would on paper. The user then shall be able to interact with the design, simulate and visualize the model at any point of time in design process, and watch how the objects interact together.

- More info:
http://magdy-world.blogspot.com/2010/03/demo-from-my-graduation-project.html

Category:

Education

Tags:

• pattern recognition
• reasoning
• physics simulation
• collision detection

[fatso784]

Magdy, do you perhaps know where I can find a paper on the sketch recognition algorithm used in this video, or the work it was based off of? Thanks.

[HeroMagdy]

Well, the whole project was inspired by MIT ASSIST project, which was the actual motivation for the work.

I am not fully aware of the sketch recognition part! However, I think this might be useful:

- We used geometrical approaches to recognize the sketched shapes! Another option is to use statistical methods (pattern recognition, machine learning)!

- This paper, [Jorge, J., Fonseca, M., 2000. A Simple Approach to Recognise Geometric Shapes Interactively.], was quite helpful.. [cont.]

[HeroMagdy]

@HeroMagdy [cont.].. and I think the recognition algorithm used was based on it.

Other recommended references:

- C. Alvarado. A Natural Sketching Environment: Bringing the Computer into the Early Stages of Mechanical Design. Master’s Thesis, MIT, 2000. (This was very useful for the whole project, check the recognition chapters there)

- The four papers in the Publications section in MIT ASSIST project website might be useful ... [cont.]

[HeroMagdy]

@HeroMagdy .. [cont.]

url: rationale[dot]csail[dot]mit[do t]edu/project_assist_a_shrewd_ sketch_interpretation[dot]html

- Book: Hastie, T., Tibshirani, R. & Friedman, J.H., 2003. The Elements of Statistical Learning Corrected., Springer.

(highly recommended if you are going to follow the statistical methods and machine learning)

Hope that helps! =)

[HeroMagdy]

This was my gradation project, and unfortunately and for certain reasons, for now there is no intention by the team to continue in this one. That is bad I know, but this is our decision for now.

However, I will check with the team if we could post the current version. =)

[poloBebo1]

tb ana 3ayez ashoof el project da 3l 7a2i2a .. hoa ynf3 tb3at-holi ?

[fatso784]

@HeroMagdy Thank you so much Magdy! That was just what i needed ^__^

[tobby2468]

where we can download this

[123evronia]

Magdy! the video is awesome! totally breathtaking! great great work! keep it coming!

[fady911x]

NICE!!