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公开(公告)号：KR1020140089731A
公开(公告)日：2014-07-16
申请号：KR1020130001507
申请日：2013-01-07
Applicant: 한국기술교육대학교 산학협력단 , 한국전자통신연구원
IPC: H04N13/00
CPC classification number: H04N13/398 , H04N2013/0077 , H04N2013/0096
Abstract: Disclosed is an apparatus for synchronizing stereoscopic images. The apparatus comprises a similarity calculation unit for calculating a similarity between a left image frame and a right image frame or similarity between blocks based on any one frame or frame block of a left image of a stereoscopic image or a right image of the stereoscopic image; a frame difference extraction unit for extracting a frame difference between the left image and the right image based on the calculated similarity between the frames; and a frame synchronization correction unit for synchronizing the left image and the right image by correcting the extracted frame difference.
Abstract translation: 公开了一种用于同步立体图像的装置。 该装置包括：相似度计算单元，用于基于立体图像的左图像或立体图像的右图像的任何一个帧或帧块来计算左图像帧和右图像帧之间的相似度或块之间的相似性; 帧差提取单元，用于基于所计算的帧之间的相似度来提取左图像和右图像之间的帧差; 以及帧同步校正单元，用于通过校正所提取的帧差来同步左图像和右图像。
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公开(公告)号：KR101392823B1
公开(公告)日：2014-05-12
申请号：KR1020130009273
申请日：2013-01-28
Applicant: 한국기술교육대학교 산학협력단
CPC classification number: G06T7/0008 , G06T7/337 , G06T2207/20081 , G06T2207/30248
Abstract: Disclosed is a method for detecting the existence of a part by analyzing an image obtained by photographing a part of a chassis. The method comprises a step of extracting a first image sample in which a part exists, a second image sample in which the part does not exist, and a third image sample which is irrelevant to the existence of the part; a step of learning how to detect the part from the image using the extracted first, second, and third samples; and a step of determining the existence of the part learned in a predefined interest section of the image, obtained by photographing a part of the chassis, based on the learning results.
Abstract translation: 公开了一种通过分析通过拍摄底盘的一部分而获得的图像来检测零件的存在的方法。 该方法包括提取部分存在的第一图像样本，不存在该部分的第二图像样本和与该部分的存在无关的第三图像样本的步骤; 使用提取的第一，第二和第三样本学习如何从图像检测部分的步骤; 以及基于学习结果确定通过拍摄一部分机架获得的图像的预定兴趣部分中学习的部分的存在的步骤。
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公开(公告)号：KR1020130009367A
公开(公告)日：2013-01-23
申请号：KR1020110070421
申请日：2011-07-15
Applicant: 한국기술교육대학교 산학협력단
Abstract: PURPOSE: A method for estimating vehicle-to-vehicle distance is provided to minimize error of estimated distance by analyzing a rear image of a preceding vehicle. CONSTITUTION: A method for estimating vehicle-to-vehicle distance comprises: a step of calculating a first estimated distance of a preceding vehicle from an rear image of the preceding vehicle; a step of calculating a scale factor of the preceding vehicle using the first estimated distance and the width of the preceding vehicle; a step of calculating the scale factor in a predetermined time interval and determining the average scale factor of the preceding vehicle; and a step of calculating a second estimated distance using the average scale factor and the width of the preceding vehicle. An apparatus(100) for estimating vehicle-to-vehicle distance comprises a first estimated distance calculating unit(120), a scale factor calculating unit(130), an average scale factor determining unit(140), and a second estimated distance calculating unit(150). [Reference numerals] (110) Image acquiring unit; (120) First estimated distance calculating unit; (130) Scale factor calculating unit; (140) Average scale factor determining unit; (150) Second estimated distance calculating unit; (160) Average scale factor verifying unit; (AA) Inputting taken images; (BB) Outputting distance between vehicles
Abstract translation: 目的：提供一种用于估计车辆与车辆距离的方法，以通过分析前方车辆的后方图像来最小化估计距离的误差。 一种用于估计车辆至车辆距离的方法包括：从前一车辆的后方图像计算前方车辆的第一估计距离的步骤; 使用第一估计距离和前一车辆的宽度来计算前方车辆的比例系数的步骤; 在预定时间间隔内计算比例因子并确定前一车辆的平均比例因子的步骤; 以及使用平均比例因子和前一车辆的宽度来计算第二估计距离的步骤。 用于估计车辆到车辆距离的装置（100）包括第一估计距离计算单元（120），比例因子计算单元（130），平均比例因子确定单元（140）和第二估计距离计算单元 （150）。 （附图标记）（110）图像获取单元; （120）第一估计距离计算单元; （130）比例因子计算单位; （140）平均比例因子确定单位; （150）第二估计距离计算单元; （160）平均比例因子验证单位; （AA）输入拍摄图像; （BB）车辆之间的输出距离
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公开(公告)号：KR101067437B1
公开(公告)日：2011-09-27
申请号：KR1020090103126
申请日：2009-10-29
Applicant: 한국기술교육대학교 산학협력단
Abstract: 본 발명은 차선검출방법 및 이를 이용한 차선이탈검출시스템에 관한 것으로, 외부입력영상을 이용하여 HSV 색상모델과 에지모델을 이용하여 차선특징을 추출하고 베이즈 결정규칙을 이용해서 특징을 결정하는 단계와, 추출된 차선특징을 이용하여 허프변환 및 필터링을 통해 차선을 검출하는 단계, 그리고 검출된 대표차선을 기준으로 차선이탈을 판단하는 단계로 구성되는 차선검출방법 및 이를 구현하는 시스템을 제공하는 것을 요지로 한다.
본 발명에 따르면, HSV 색상모델과 에지모델을 통한 특징추출과 베이즈 결정규칙에 의한 차선 특징 결정방법, 허프변환을 이용하여 효과적인 차선검출방법 및 시스템을 제공하여 차량의 주행중에 외부환경에 의한 노이즈 정보를 효율적으로 제거하여 차선의 이탈정보를 정확히 형성할 수 있는 효과가 있다.
차선검출, HSV 색상모델, 에지모델, 허프변환, 베이즈 결정규칙-
公开(公告)号：KR101791963B1
公开(公告)日：2017-11-01
申请号：KR1020150098982
申请日：2015-07-13
Applicant: 한국기술교육대학교 산학협력단
Abstract: 본발명은, 공정라인에서비전검사를수행하는비전검사장치의검사결과신뢰도를개선하여, 공정라인의생산성및 관리편의성을효율적으로증대시킬수 있는비전검사장치및 비전검사장치의동작방법과, 그장치가적용되는비전검사중앙제어시스템을제시하고있다.
Abstract translation: 本发明中，通过提高可靠性的检查结果的视觉检查单元，该处理线的生产率和管理视力的操作方法sikilsu有效地提高测试装置和便利设备的视觉检查，和装置用于在生产线中进行视觉检查 应用中央视觉检查控制系统。
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Patent Agency Ranking
公开(公告)号：KR1020150064943A
公开(公告)日：2015-06-12
申请号：KR1020130149893
申请日：2013-12-04
Applicant: 한국기술교육대학교 산학협력단
Abstract: 본발명은듀얼카메라를이용한영상감지방법및 장치에관한것이다. 본발명에따르면, 고정카메라및 이동카메라를포함하는듀얼카메라를이용한영상감지방법에있어서, 상기고정카메라의촬상영상으로부터추출된각각의특징점이상기이동카메라내에서촬상되도록하는상기이동카메라의팬 또는틸트값을상기각각의특징점에대응하여저장하는단계와, 상기고정카메라에서타겟이감지되면, 상기각각의특징점중 상기타겟과인접하여존재하는복수의특징점을추출하는단계와, 상기추출된복수의특징점에대응하여기 저장된상기팬 또는틸트값을이용하여상기타겟에대한팬 또는틸트값을연산하는단계, 및상기이동카메라상에서상기타겟을추적하도록, 상기이동카메라를상기연산된팬 또는틸트값으로제어하는단계를포함하는듀얼카메라를이용한영상감지방법을제공한다. 상기듀얼카메라를이용한영상감지방법및 장치에따르면, 고정카메라와이동카메라간의복잡한좌표변환과정을필요로하지않아시스템의복잡도를줄일수 있으며카메라의제어효율및 물체의감시효율을높일수 있다.
Abstract translation: 本发明涉及一种使用双相机的图像感测方法和装置。 根据本发明的使用诸如固定照相机或移动相机的双摄像机的图像感测方法由以下阶段组成：通过使用移动摄像机来保存通过固定摄像机从记录图像提取的每个特征点的相位 对应于特征点的风扇或倾斜值，使得特征点可以由移动摄像机拍摄; 当由固定摄像机检测到目标时，在特征点中提取存在于目标附近的多个特征点的相位; 通过使用与提取的多个特征点相对应的风扇或倾斜值来对目标的风扇进行算术运算或倾斜值的相位; 以及通过使用屈服的风扇或倾斜值来控制移动的相机的相位，使得移动的相机可以跟踪目标。 根据使用双摄像头的图像感测方法和设备，不需要改变固定摄像机和移动摄像机之间的复杂坐标，因此可以降低复杂程度，提高摄像机控制效率和对象监控效率 。
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公开(公告)号：KR1020110046607A
公开(公告)日：2011-05-06
申请号：KR1020090103126
申请日：2009-10-29
Applicant: 한국기술교육대학교 산학협력단
Abstract: PURPOSE: A lane detection method is provided to efficiently remove pixels including error data in features of lanes by being applied to a real-time lane deviation detection system and to create the information with high precision. CONSTITUTION: A lane detection method comprises the steps of: extracting lane features using external input images; detecting and filtering lanes using the extracted lane features; determining the lane deviation on a basis of the detected representative lanes. The color model and edge information of lanes are extracted from the input images.
Abstract translation: 目的：提供一种车道检测方法，通过应用于实时车道偏离检测系统，高精度地创建信息，有效地移除包括车道特征中误差数据的像素。 构成：车道检测方法包括以下步骤：使用外部输入图像提取车道特征; 使用提取的车道特征检测和过滤车道; 基于检测到的代表性车道确定车道偏离。 从输入图像中提取车道的颜色模型和边缘信息。
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公开(公告)号：KR101304137B1
公开(公告)日：2013-09-05
申请号：KR1020120063774
申请日：2012-06-14
Applicant: 한국기술교육대학교 산학협력단
CPC classification number: G06T7/64 , G06T7/0004 , G06T7/149
Abstract: PURPOSE: A vision based part curvature estimating method and an apparatus thereof are provided to extract an outline from a photographed image about a part having a curved surface and to estimate central point coordinates about a virtual circle having the curved surface as an arc using arbitrary coordinates of the outline corresponding to the curved surface, thereby accurately estimating an actual curvature value about the curved surface. CONSTITUTION: A part curvature estimating apparatus obtains a photographed image about a part having a curved surface (S410). The part curvature estimating apparatus extracts an outline of the part from the photographed image (S420). The part curvature estimating apparatus estimates central point coordinates about a virtual circle having the curved surface as an arc using arbitrary coordinates of the outline corresponding to the curved surface (S430). The part curvature estimating apparatus estimates curvature of the curved surface using the arbitrary coordinates and the central point coordinates (S440). [Reference numerals] (AA) Start; (BB) End; (S410) Obtain a photographed image about a part having a curved surface; (S420) Extract an outline of the part from the photographed image; (S430) Estimate central point coordinates about a virtual circle having the curved surface as an arc using arbitrary coordinates of the outline corresponding to the curved surface; (S440) Estimate curvature of the curved surface using selected arbitrary coordinates forming the outline and the central point coordinates; (S450) Compare the estimate curvature information to the basic curvature information; (S460) Correction control of the curvature
Abstract translation: 目的：提供一种基于视觉的部分曲率估计方法及其装置，用于从拍摄的图像中提取关于具有曲面的部分的轮廓，并且使用任意坐标估计围绕具有曲面的虚拟圆的中心点坐标 对应于曲面的轮廓，从而精确地估计关于曲面的实际曲率值。 构成：部分曲率估计装置获得关于具有曲面的部分的拍摄图像（S410）。 部分曲率估计装置从拍摄图像中提取该部分的轮廓（S420）。 部分曲率估计装置使用对应于曲面的轮廓的任意坐标来估计关于具有曲面的虚拟圆的中心点坐标（S430）。 部分曲率估计装置使用任意坐标和中心点坐标来估计曲面的曲率（S440）。 （附图标记）（AA）开始; （BB）结束; （S410）获取关于具有曲面的部分的拍摄图像; （S420）从拍摄图像中提取部分的轮廓; （S430）使用对应于曲面的轮廓的任意坐标来估计关于具有曲面的虚拟圆的中心点坐标为弧; （S440）使用形成轮廓和中心点坐标的选择的任意坐标来估计曲面的曲率; （S450）将估计曲率信息与基本曲率信息进行比较; （S460）曲率的校正控制
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公开(公告)号：KR1020170007938A
公开(公告)日：2017-01-23
申请号：KR1020150098982
申请日：2015-07-13
Applicant: 한국기술교육대학교 산학협력단
Abstract: 본발명은, 공정라인에서비전검사를수행하는비전검사장치의검사결과신뢰도를개선하여, 공정라인의생산성및 관리편의성을효율적으로증대시킬수 있는비전검사장치및 비전검사장치의동작방법과, 그장치가적용되는비전검사중앙제어시스템을제시하고있다.
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公开(公告)号：KR101609819B1
公开(公告)日：2016-04-06
申请号：KR1020140193105
申请日：2014-12-30
Applicant: 한국기술교육대학교 산학협력단
Abstract: 차간거리추정장치는카메라, 정보처리장치, 차선규격데이터베이스, 및출력장치를포함한다. 상기카메라는앞차및 차선의영상을이미지데이터로변환시킨다. 상기정보처리장치는상기카메라로부터복수의프레임동안이미지데이터를인가받아차선데이터를검출하는차선검출부와, 상기앞차의 y축화소위치를검출하여상기차선데이터및 기저장된차선규격데이터와비교하여상기앞차와운행차량사이의거리를추정하는거리추정부와, 상기거리정보생성부에의해추정된거리를상기복수개의프레임동안수집하여상기추정된거리를보정하는보정부를포함한다. 상기차선규격데이터베이스는상기차선규격데이터가저장된다. 상기출력장치는상기정보처리장치에의해생성된상기추정된거리를출력한다.
Abstract translation: 用于估计车辆间距离的装置包括照相机，信息处理装置，车道标准数据库和输出装置。 相机将前一个车辆和车道的图像转换为图像数据。 信息处理装置具有车道检测单元，距离估计单元和校正单元。 车道检测单元通过从相机对多个帧应用的图像数据来检测车道数据。 距离估计单元通过检测前一个轿厢的y轴像素位置并将y轴像素位置与车道数据和预先存储的车道标准数据进行比较来估计前一个轿厢和行驶车辆之间的距离。 校正单元通过收集由多个帧的距离信息生成单元估计的距离来校正估计距离。 车道标准数据存储在车道标准数据库中。 输出装置输出由信息处理装置产生的估计距离。
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