다이렉트 메모리 액세스 컨트롤러 및 그것의 동작 방법
    21.
    发明授权
    다이렉트 메모리 액세스 컨트롤러 및 그것의 동작 방법 有权
    直接存储器访问控制器及其操作方法

    公开(公告)号:KR101706201B1

    公开(公告)日:2017-02-15

    申请号:KR1020100128379

    申请日:2010-12-15

    CPC classification number: G06F13/28

    Abstract: 본발명은다이렉트메모리액세스컨트롤러및 그것의동작방법에관한것이다. 상기다이렉트메모리액세스컨트롤러는레지스터셋에구성된루프레지스터셋을통해채널별 루프전송을, 채널루프관리메모리장치에저장된데이터를통해전체채널에대한루프전송을수행한다. 상기다이렉트메모리액세스컨트롤러는전송할블럭데이터에대한전송정보를자체적으로변경하여다이렉트메모리액세스전송동작을수행할수 있다.

    Abstract translation: 公开了具有第一和第二DMA通道的直接存储器访问(DMA)控制器的操作方法。 操作方法包括:基于第一DMA通道的循环信息和传送信息来迭代地执行第一DMA通道的DMA传送操作; 基于所述第二DMA通道的循环信息和传送信息迭代地执行所述第二DMA通道的DMA传送操作; 重新配置第一和第二DMA通道的传送和循环信息; 并且基于第一和第二DMA通道的重新配置的传输和循环信息,再次执行迭代地执行第一DMA通道的DMA传送操作和迭代地执行第一DMA通道的DMA传送操作。

    영상 정합 장치 및 방법
    22.
    发明授权
    영상 정합 장치 및 방법 有权
    图像注册装置及其方法

    公开(公告)号:KR101697512B1

    公开(公告)日:2017-01-19

    申请号:KR1020110135208

    申请日:2011-12-15

    CPC classification number: G06T3/0068

    Abstract: 본발명은영상정합장치및 방법에관한것이다. 본발명의실시예에의한영상정합장치는영상을입력받는영상입력부, 상기입력된영상으로부터호모그래피행렬을생성하는정합정보생성부및 상기호모그래피행렬을기초로영상을정합하는와핑부를포함하며, 상기정합정보생성부는상기입력된영상의피사체들에대한거리정보를생성하는거리정보생성기, 상기생성된거리정보를근사하는거리정보모델링기, 상기근사된거리정보에서겹침정보를생성하는겹침정보생성기, 상기겹침정보로부터매칭쌍을결정하는매칭쌍결정기및 상기매칭쌍으로부터호모그래피행렬을생성하는호모그래피행렬생성기를포함한다. 본발명에의한영상정합장치및 방법은감소된계산량을가지므로고속으로실시간영상정합이가능하다.

    Abstract translation: 公开了一种图像注册装置,其包括接收图像的图像输入单元; 图像信息生成单元,其从输入图像生成单应性矩阵; 以及基于单应性矩阵来登记图像的翘曲单元。 所述登记信息生成部包括距离信息生成部,其生成与所述输入图像对象相对应的距离信息; 距离信息建模器近似所生成的距离信息; 重叠信息生成器,其从所述近似距离信息生成重叠信息; 匹配对确定器,其从所述重叠信息确定匹配对; 以及从匹配对生成单应性矩阵的单应性矩阵生成器。

    영상 정합 장치 및 방법
    23.
    发明公开
    영상 정합 장치 및 방법 有权
    图像注册设备及其方法

    公开(公告)号:KR1020130068243A

    公开(公告)日:2013-06-26

    申请号:KR1020110135208

    申请日:2011-12-15

    CPC classification number: G06T3/0068 H04N5/262 G06T3/00 H04N5/232

    Abstract: PURPOSE: An image matching apparatus and a method thereof are provided to omit a process which detects a characteristic point and generates and matches a specific vector by generating duplicate information of an image based on distance information and determining a matching pair from the duplicate information. CONSTITUTION: A matching information generator(100) generates distance information about subjects of image which are inputted through a distance information generator(110) and generates duplicate information in 'distance information which is approximated in a distance information modeling unit(120)' through a duplicate information generator(130). The matching information generator determines matching pairs from the duplicate information through a matching pair determiner(140) and generates a homography matrix from the matching pairs through a homography matrix generator(150). [Reference numerals] (110) Distance information generator; (120) Distance information modeling unit; (130) Duplicate information generator; (140) Matching pair determiner; (150) Homography matrix generator

    Abstract translation: 目的:提供一种图像匹配装置及其方法,以省略检测特征点的处理,并通过基于距离信息生成图像的重复信息并根据重复信息确定匹配对来生成并匹配特定向量。 构成:匹配信息生成器(100)生成关于通过距离信息生成器(110)输入的图像的对象的距离信息,并且通过“距离信息建模单元(120)近似的距离信息”生成复制信息 重复信息发生器(130)。 匹配信息生成器通过匹配对确定器(140)确定来自重复信息的匹配对,并且通过单应性矩阵生成器(150)从匹配对生成单应性矩阵。 (附图标记)(110)距离信息发生器; (120)距离信息建模单位; (130)重复信息发生器; (140)匹配对确定器; (150)同位素矩阵发生器

    영상 인식 장치 및 그것의 영상 인식 방법
    24.
    发明公开
    영상 인식 장치 및 그것의 영상 인식 방법 有权
    图像识别装置和识别图像的方法

    公开(公告)号:KR1020120136682A

    公开(公告)日:2012-12-20

    申请号:KR1020110055762

    申请日:2011-06-09

    CPC classification number: G06K9/6239 G06K9/6269 G06T7/30

    Abstract: PURPOSE: An image recognition apparatus and a method for recognizing image thereof are provided to reduce the degree of a support vector through folding, compression, and interleaving operations and to reduce a number of calculations for image recognition. CONSTITUTION: An input vector extracting unit extracts an input vector from an input image. By using a projection vector, a compression vector converting unit converts the input vector into a compression vector. By using a projection vector obtained through folding computation of an input training vector, a training parameter generating unit generates the training parameter. An image classification unit outputs the compression vector through the image classification of the training parameter to image acknowledgement data.

    Abstract translation: 目的:提供用于识别图像的图像识别装置和方法,以通过折叠,压缩和交织操作来减小支持向量的程度,并减少图像识别的计算次数。 构成:输入向量提取单元从输入图像中提取输入向量。 通过使用投影矢量,压缩矢量变换单元将输入矢量转换为压缩矢量。 通过使用通过输入训练矢量的折叠计算获得的投影向量,训练参数生成单元生成训练参数。 图像分类单元通过训练参数的图像分类将压缩矢量输出到图像确认数据。

    영상 정합 장치 및 그것의 영상 정합 방법
    25.
    发明公开
    영상 정합 장치 및 그것의 영상 정합 방법 有权
    图像注册装置及其图像注册方法

    公开(公告)号:KR1020120063858A

    公开(公告)日:2012-06-18

    申请号:KR1020100125016

    申请日:2010-12-08

    Abstract: PURPOSE: Image registration method and device capable of performing the high speed operation are provided to reduce the number of similarity calculation by setting a matching candidate domain by using a homography matrix. CONSTITUTION: An Image registration method capable of performing the high speed operation comprises the following: extracting feature points from photographed images using a feature point extraction unit (S110); matching a reference image and a target image using a feature point matching unit(S120); generating a new homography matrix using a homography matrix generator(S130); warping the reference image and the target image using a warping unit(S140); and correcting the target image using a correction unit(S150).

    Abstract translation: 目的:提供能够执行高速操作的图像配准方法和装置,以通过使用单对应矩阵设置匹配的候选域来减少相似度计算的数量。 构成:能够执行高速操作的图像配准方法包括:使用特征点提取单元从拍摄图像中提取特征点(S110); 使用特征点匹配单元对参考图像和目标图像进行匹配(S120); 使用单应性矩阵生成器生成新的单色矩阵(S130); 使用翘曲单元翘曲参考图像和目标图像(S140); 以及使用校正单元校正目标图像(S150)。

    벡터 분류기 및 그것의 벡터 분류 방법
    26.
    发明公开
    벡터 분류기 및 그것의 벡터 분류 방법 无效
    矢量分类器和矢量分类方法

    公开(公告)号:KR1020120040015A

    公开(公告)日:2012-04-26

    申请号:KR1020100101509

    申请日:2010-10-18

    CPC classification number: G06N99/005

    Abstract: PURPOSE: A vector classifier and a method for classifying a vector thereby are provided to classify an input vector in real time by reducing the degree between a support vector and the input vector and performing an operation. CONSTITUTION: A vector compressor(120) compresses an input vector. A support vector storage(140) stores a compressed support vector. A support vector machine operation unit(160) receives a compressed input vector and the compressed support vector and performs calculation according to a classification decision rule. A vector compression unit compresses the input vector to reduce the influence of an eigenvector on the support vector.

    Abstract translation: 目的:提供一种向量分类器和由此分类矢量的方法,通过减小支持向量与输入向量之间的程度并进行操作,实时对输入向量进行分类。 构成:矢量压缩器(120)压缩输入矢量。 支持向量存储(140)存储压缩的支持向量。 支持向量机操作单元(160)接收压缩输入向量和压缩支持向量,并根据分类判定规则进行计算。 向量压缩单元压缩输入向量以减少特征向量对支持向量的影响。

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