ABSTRACT

An object recognition system finds objects in the real world from an image of the world, using object models which are known a priori. . The object recognition problem can be defined as a labeling problem based on models of known objects.

Formally, given an image containing one or more objects of interest (and background) and a set of labels corresponding to a set of models known to the system, the system should assign correct labels to regions, or a set of regions, in the image.

1.1) Motivation

The SIFT Feature extraction discovered by Prof. David Lowe was quite fascinating.We tried to use it to detect objects in an image using Bag of Words approach.

2. Our Approach

2.1) In short, our project was implemented according to following flow chart :


Flow - Chart

Links :

  1. Code


  2. Database


  3. Report