1. Field
The embodiments discussed herein are related to a method of separating a front view and a background of a photographed image.
2. Description of the Related Art
When a robot recognizes an object or a person in an indoor or outdoor environment, a technique for separating an input image into a front view and a background is important. In a recognition technique, an object may be erroneously recognized due to a feature point extracted from a place other than an object. Even when using a boundary-based recognition algorithm, a recognition rate is lowered due to misjudgment of an object boundary. Accordingly, accurate separation of an image into a front view and a background is important in a robot recognition technique.
There are various methods of separating a front view and a background of an image. A method of expressing an image using a Markov Random Field (MRF) model and minimizing energy using graph cut or Belief Propagation (BP) is generally used. To accurately separate a front view and a background, a predefined front view region and a predefined background region are necessary.
Algorithmic results for separating a front view and a background of the related art is not completely automated. A front view region and a background region are set by a user and the front view and the background of the image are separated based on the set regions.
In addition, in the algorithm for separating the front view and the background in the related art, recognition rate may be lowered due to background noise, edges, or patterns within the image.