Presentation is loading. Please wait.

Presentation is loading. Please wait.

Maynes-Aminzade, D., T. Winograd, and T. Igarashi.

Similar presentations


Presentation on theme: "Maynes-Aminzade, D., T. Winograd, and T. Igarashi."— Presentation transcript:

1 Maynes-Aminzade, D., T. Winograd, and T. Igarashi.

2 EyePatch Rapid computer vision prototyping tool
Simplifies developing computer vision apps Allows novice programmers to extract data from live video and stream to prototyping tools novice programmers to extract useful data from live video and stream that data to other rapid prototyping tools, such as Adobe Flash, d.tools, and Microsoft Visual Basic.

3 Training mode Composition mode
users train different types of classifiers to recognize the object, region, or parameter Composition mode classifiers are composed in various ways users specify where classifier output should go

4 Examples Classifier Types Color Brightness Shape AdaBoost SIFT Motion
Gesture Recognition

5 Advocate Allows for iterative rapid prototyping
Supports computer vision for non programmers Good starting point for people learning computer vision Validated by showing it could be used for apps

6 Critic Didn’t show it worked for correct user population
Hard to evaluate


Download ppt "Maynes-Aminzade, D., T. Winograd, and T. Igarashi."

Similar presentations


Ads by Google