Object Recognition using Bag of Features

Tech Geek

Object recognition in computer vision is the task of finding a given object in an image or video sequence(Source Wikipedia). Object Recognition using Bag of Features is one of the successful object classification techniques. Our main task here is to classify a given image in to one of the pre-determined objects.

Object Recognition using BOF works on the principal that every object can be represented by it’s parts .Let’s say an Aeroplane contains parts like wheels, wings and windows which all combine to form an object called Aeroplane. Also car contains wheels and windows which defines a car, but the basic difference between an Aeroplane and car is it’s wings and some other parts which distinguishes car from plane . So, in order to recognize an object we need to first recognize the parts and based on the parts we need to classify the object. This is the principal…

View original post 766 more words


Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s