FEATURE POINT EXTRACTOR BASED ON IMAGE RECOGNITION ALGORITHM

摘要

The present invention relates to a feature point extractor based on an image recognition algorithm, wherein repeated calculations of the feature point extractor can be treated in parallel by each scale, and existing problems such as reduction in velocity and increase in memory usage rate during image recognition and treatment can be resolved. The feature point extractor based on an image recognition algorithm comprises: an integral image memory for storing differentiation image information of an input image; and a hessian memory for storing a feature point candidate group extracted from the differentiation image information. The integral image memory is formed in a parallel structure divided by each scale of the input image, and the differentiation image information is dividedly stored by each scale in the integral image memory. Furthermore, the hessian memory is formed in a parallel structure divided by each scale of the input image, and the feature point candidate group is dividedly stored by each scale in the hessian memory.