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FEATURE POINT EXTRACTOR BASED ON IMAGE RECOGNITION ALGORITHM

机译:基于图像识别算法的特征点提取器

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.;COPYRIGHT KIPO 2015
机译:本发明涉及一种基于图像识别算法的特征点提取器,其中可以按每个比例并行处理特征点提取器的重复计算,以及存在诸如图像识别期间的速度降低和存储器使用率增加的问题。并且治疗可以解决。基于图像识别算法的特征点提取器包括:集成图像存储器,用于存储输入图像的差分图像信息;粗麻布存储器用于存储从微分图像信息中提取的特征点候选组。积分图像存储器以被输入图像的每个比例划分的并行结构形成,并且差分图像信息被每个比例划分地存储在积分图像存储器中。此外,粗麻布存储器以被输入图像的各个比例划分的并行结构形成,并且特征点候选组被各个比例分别存储在粗麻布存储器中。; COPYRIGHT KIPO 2015

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