Abstract
This paper presents scene discrimination by using a histogram based on local image features. Local feature is often used for various applications such as object recognition and navigation of mobile robots. When the robot requires the identification of some landmarks, the feature matching against a lot of interest points can be omitted in order to decide the most similar image. Therefore we obtain the histogram of binary features detected in an image. And the histogram is compared with other histograms so as to determine the visual scene from the database. Speed up of the similar image matching is enabled because keypoints matching computation that needs long processing time can be omitted by using the histogram.
