Skip to content

egeyosunkaya/ImageAnalysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

70 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Object Recognition Based On Super Pixel Method

Computer vision applications commonly using data sets for training object recognition systems, sets that include images which are tightly cropped around objects. This approach decreases the running time and increase recognition accuracy by providing best characteristics of the objects of interests to the learning algorithms. In an effort to create best test set for learning algorithms, we decided to use superpixel grouping based object recognition. Resulting objects can be used for training the learning algorithms. While this approach can be efficient for complex recognition algorithms which will focus only proposed objects from our algorithm rather than calculating the objects by itself, it can also be powerful and efficient for other but rather simple computer vision applications as well.

Serhan Gürsoy and Ege Yosunkaya from Bilkent University

You can find resulting paper under the Paper folder.

About

Object Recognition based on super pixel method

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published