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    • 6. 发明公开
    • A HAAR CALCULATION SYSTEM, AN IMAGE CLASSIFICATION SYSTEM, ASSOCIATED METHODS AND ASSOCIATED COMPUTER PROGRAM PRODUCTS
    • HAAR计算系统,图像分类系统,相关方法和相关的计算机程序产品
    • EP2976736A1
    • 2016-01-27
    • EP13879201.5
    • 2013-03-22
    • Freescale Semiconductor, Inc.
    • HERRMANN, StephanSTAUDENMAIER, Michael
    • G06K9/46G06K9/00G06T7/00
    • G06K9/4614B60R1/00B60R2300/802B60R2300/8073G06K9/00791G06K9/00986G06T7/11G06T7/246G06T2207/10016
    • A HAAR calculation system (HSYS) for calculating a HAAR feature of a predefined rectangular region (REG1 ) of an image is described. The HAAR calculation system comprises one or more memories (MEM), a plurality of compute engines (CU1, CU2, CU3, CUn), and a main processor (MCPU). Each compute engine is arranged to retrieve a block of image data (BLK(i)) corresponding to a rectangular image region (BLK(1 )...(BLK(mn+n)) from the one or more memories (MEM); calculate integral image values (IBLK(i)) for all pixels of the block of image data to obtain an integral image of the block of image data; and store the integral image (IBLK(i)) of the block in the one or more memories (MEM). The main processor (MCPU) is arranged to determine which one or more blocks of image data comprise pixels of the predefined rectangular region of the image; for each block of image data that comprise pixels of the predefined rectangular region of the image, define a respective rectangular region part (REC1, REC2, REC3, REC4, REC12, REC34) as the pixels of the block that belong to the predefined rectangular region of the image; calculate a HAAR feature of the rectangular region part (REC1, REC2, REC3, REC4, REC12, REC34) for each block of image data (IB1, IB2, IB3, IB4, IB12, IB34) that comprise pixels of the predefined rectangular region (REG1 ) of the image; and add the HAAR features of the rectangular region parts (REC1, REC2, REC3, REC4, REC12, REC34) to obtain the HAAR feature of the predefined rectangular region of the image.
    • 描述用于计算图像的预定矩形区域(REG1)的HAAR特征的HAAR计算系统(HSYS)。 HAAR计算系统包括一个或多个存储器(MEM),多个计算引擎(CU1,CU2,CU3,CUn)和主处理器(MCPU)。 每个计算引擎被布置为从一个或多个存储器(MEM)检索对应于矩形图像区域(BLK(1)...(BLK(mn + n))的图像数据块(BLK(i)); 计算该图像数据块的所有像素的积分图像值(IBLK(i)),以获得该图像数据块的积分图像;以及将该块的积分图像(IBLK(i))存储在一个或多个 存储器(MEM),主处理器(MCPU)被配置为确定图像数据中的哪一个或多个块包括图像的预定矩形区域的像素;对于包括图像数据的预定矩形区域的像素的每个图像数据块 图像,定义属于图像的预定义矩形区域的块的像素的相应矩形区域部分(REC1,REC2,REC3,REC4,REC12,REC34);计算矩形区域部分(REC1, 对于每个图像数据块(IB1,IB2,IB3,IB4,IB12,IB34)中的每个块(REC2,REC3,REC4,REC12,REC34) 包括图像的预定矩形区域(REG1)的像素; 并添加矩形区域部分(REC1,REC2,REC3,REC4,REC12,REC34)的HAAR特征以获得图像的预定矩形区域的HAAR特征。