1. An object recognition system, comprising: a stereo camera configured to output left and right images of a same object; and an object recognition device configured to extract left and right feature vectors from the left and right images received from the stereo camera, match the left feature vectors extracted from the left images with the right feature vectors extracted from the right images to find a plurality of common feature vectors which are present in both the left and right images, match the plurality of found common feature vectors with a plurality of common feature vectors which are present in both left and right images according to objects stored in a database, and recognize an object present in the left and right images based on results of the matching, wherein the object recognition device is configured to match the left feature vectors and the right feature vectors such that the left feature vectors in a scale space is compared with the right feature vector in a same scale space, and wherein the object recognition device is configured to recognize the object by finding object candidates using the following equation and recognizing an object having a highest matching score out of the object candidates as the object present in the left and right images, a matching matrix M(s,m) between any object model Gm of a plurality of object models stored in the database and an object model Gs of the received left and right images is expressed by: M ⁡ ( s , m ) = [ M 11 M 12 … M 1 ⁢ I M 21 M 22 … M 2 ⁢ I … … … … M A ⁢ ⁢ 1 M A ⁢ ⁢ 2 … M AI ] where, Mai={1, 0}, and the matching matrix is obtained according to object models and the object candidates of the object models are selected according to matching scores.