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Patent Agency Ranking
公开(公告)号：KR1020150099964A
公开(公告)日：2015-09-02
申请号：KR1020140021167
申请日：2014-02-24
Applicant: 한국전자통신연구원
CPC classification number: G06K9/4671 , G06F17/30247
Abstract: 본 발명은 컴퓨팅 장치에서의 이미지의 특징(Feature)을 추출하기 위한 방법에 관한 것으로, 상기 컴퓨팅 장치로 입력되는 이미지를 기반으로 GSS(Gaussian Scale Space) 이미지를 피라미드 형태로 생성하는 과정과, 상기 GSS 이미지에 대해 스케일 정규화된 라플라시안 필터링(Scale Normalized Laplacian Filtering)을 수행하는 과정과, 상기 스케일 정규화된 라플라시안 필터링을 통해 특징점(Interest Point)을 검출하는 과정과, 상기 검출된 특징점을 이용하여 상기 이미지의 특징을 추출하는 과정을 포함할 수 있다.
Abstract translation: 本发明涉及一种用于提取计算设备中的图像特征的方法，包括以下步骤：基于输入到计算设备中的图像，生成金字塔形状的高斯尺度空间（GSS）图像; 对GSS图像执行缩放归一化拉普拉斯滤波; 通过缩放归一化拉普拉斯滤波来检测兴趣点; 以及通过使用检测到的兴趣点来提取图像特征。
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公开(公告)号：KR1020130098771A
公开(公告)日：2013-09-05
申请号：KR1020120020558
申请日：2012-02-28
Applicant: 한국전자통신연구원
IPC: G06T7/00
CPC classification number: G06K9/46 , G06K9/4676 , G06K9/6201
Abstract: PURPOSE: An image recognizing apparatus using a scalable compact local descriptor and a method thereof are provided to generate scalable feature descriptors having different sizes and different processing speeds according to purposes, thereby differently extracting the descriptors according to descriptor storage spaces and the performance of an extractor. CONSTITUTION: A feature descriptor extractor extracts scalable compact local feature descriptor information, for recognizing an object, from input image information. A database (140) includes a plurality of feature descriptor information. A feature descriptor matching unit (130) compares a feature descriptor output from a feature descriptor generator (120) with a feature descriptor stored in the database, and recognizes an object included in the image. [Reference numerals] (110) Image obtaining unit; (120) Feature descriptor generator; (130) Feature descriptor matching unit
Abstract translation: 目的：提供一种使用可缩放紧凑局部描述符的图像识别装置及其方法，以根据目的产生具有不同大小和不同处理速度的可缩放特征描述符，从而根据描述符存储空间和提取器的性能不同地提取描述符 。 构成：特征描述符提取器从输入图像信息中提取用于识别对象的可缩放紧凑局部特征描述符信息。 数据库（140）包括多个特征描述符信息。 特征描述符匹配单元（130）将从特征描述符生成器（120）输出的特征描述符与存储在数据库中的特征描述符进行比较，并识别图像中包括的对象。 （附图标记）（110）图像获取单元; （120）特征描述符生成器; （130）特征描述符匹配单元
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公开(公告)号：KR1020130098769A
公开(公告)日：2013-09-05
申请号：KR1020120020556
申请日：2012-02-28
Applicant: 한국전자통신연구원
CPC classification number: G06K9/6202 , G06K9/4647
Abstract: PURPOSE: A matching device for generating a scalable feature descriptor and using the feature descriptor and a method thereof are provided to generate the scalable feature descriptor according to purposes and environments to which feature descriptor extraction technology will be applied, thereby providing various feature descriptors suitable for a mobile environment or a high performance personal computer environment. CONSTITUTION: An image pre-processor of a feature descriptor extraction device converts an input image into a black/white image, and normalizes a size of the image (320). A feature point and patch extractor extracts a feature point and a patch from a scale space of the normalized black/white image (330). A feature point patch statistics calculator generates patch blocks and respectively calculates statistics of the patch blocks (340). A morphological gradient calculator calculates a morphological gradient by using the calculated statistics (350). A feature descriptor extractor generates a feature descriptor (360). [Reference numerals] (310) Input an image; (320) Pre-treat the image; (330) Extract feature points and patches; (340) Calculates statistics of feature patches; (350) Calculate a morphological gradient; (360) Extract feature descriptors; (AA) Start; (BB) End
Abstract translation: 目的：提供用于生成可缩放特征描述符并使用特征描述符及其方法的匹配装置，以根据要应用特征描述符提取技术的目的和环境生成可伸缩特征描述符，从而提供适于 移动环境或高性能个人计算机环境。 构成：特征描述符提取装置的图像预处理器将输入图像转换成黑/白图像，并且对图像的尺寸进行归一化（320）。 特征点和补片提取器从归一化的黑/白图像（330）的比例空间中提取特征点和斑块。 特征点补丁统计计算器生成补丁块并分别计算补丁块的统计（340）。 形态梯度计算器通过使用计算的统计量计算形态梯度（350）。 特征描述符提取器生成特征描述符（360）。 （附图标记）（310）输入图像; （320）预处理图像; （330）提取特征点和补丁; （340）计算特征块的统计; （350）计算形态梯度; （360）提取特征描述符; （AA）开始; （BB）结束
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公开(公告)号：KR1020120064581A
公开(公告)日：2012-06-19
申请号：KR1020100125865
申请日：2010-12-09
Applicant: 한국전자통신연구원
IPC: G06T7/00
CPC classification number: G06K9/00362 , G06K9/629
Abstract: PURPOSE: Image classification apparatus and method are provided to enable users to obtain representative samples of individuals without the interference of a user on a personal photograph classifying system. CONSTITUTION: An image classification apparatus comprises the following: a database construction unit(100) saving a face feature descriptor or a clothing feature descriptor; a first processing unit(300) comparing a classification target image with the face feature or clothing feature descriptor, and generating a representative image model; a second processing unit(400) comparing additional information saved in the representative image model, and additional information of the classification target image. The second processing unit also classifies the classification target image per individual by the comparison result and the measured similarity.
Abstract translation: 目的：提供图像分类装置和方法，以使用户能够在没有用户对个人照片分类系统的干扰的情况下获得个体的代表性样本。 构成：图像分类装置包括以下：保存面部特征描述符或服装特征描述符的数据库构造单元（100） 将分类目标图像与面部特征或服装特征描述符进行比较并生成代表图像模型的第一处理单元（300） 比较代表图像模型中保存的附加信息和分类目标图像的附加信息的第二处理单元（400）。 第二处理单元还通过比较结果和测量的相似度对每个人的分类目标图像进行分类。
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公开(公告)号：KR1020110070732A
公开(公告)日：2011-06-24
申请号：KR1020100052026
申请日：2010-06-01
Applicant: 한국전자통신연구원
Abstract: PURPOSE: Digital video management and search system are provided to reduce search capacity and time and to improve search accuracy using features of digital video. CONSTITUTION: A video feature extractor(100) decodes input video and extracts features from the video. A video feature database(200) stores and manages features of a compared video. A video feature comparator obtains a candidate group by comparing the features of the input video and the features of the compared video. The video feature comparator detects and informs a section where the duplication of content occurs.
Abstract translation: 目的：提供数字视频管理和搜索系统，以减少搜索能力和时间，并通过数字视频功能提高搜索精度。 构成：视频特征提取器（100）解码输入视频并从视频中提取特征。 视频特征数据库（200）存储和管理比较视频的特征。 视频特征比较器通过比较输入视频的特征和比较视频的特征来获得候选组。 视频功能比较器检测并通知内容重复发生的部分。
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