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    • 71. 发明授权
    • Tracking objects in bowl-shaped imaging systems
    • 跟踪碗形成像系统中的物体
    • US09437001B2
    • 2016-09-06
    • US14490369
    • 2014-09-18
    • Intel Corporation
    • Kay-Ulrich SchollKoba Natroshvili
    • G06T7/00B60R1/00H04N5/232G06T3/00
    • G06T7/0042B60R1/00B60R2300/10B60R2300/30B60R2300/303B60R2300/80G06K9/00805G06T3/0018G06T3/0062G06T7/536G06T2207/30252H04N5/23238
    • Technologies for determining a distance of an object from a vehicle include a computing device to identify an object captured in a fisheye image generated by a fisheye camera of the vehicle. The computing device projects a contour of the identified object on a selected virtual plane that is located outside the vehicle and selected from a predefined set of virtual planes based on a location of the identified object relative to the vehicle. The computing device identifies a bottom of the projected contour on the selected virtual plane and determines an intersection point of an imaginary line with a ground plane coincident with a plane on which the vehicle is positioned. The imaginary line passes through each of the identified bottom of the projected contour and the fisheye camera. The computing device determines a location of the identified object relative to the vehicle based on the determined intersection point and the identified bottom of the projected contour.
    • 用于确定物体与车辆的距离的技术包括用于识别由车辆的鱼眼照相机生成的鱼眼图像中捕获的物体的计算装置。 所述计算设备在位于车辆外部的所选择的虚拟平面上投射所识别对象的轮廓,并且基于所识别的对象相对于所述车辆的位置从预定义的一组虚拟平面中选择。 计算装置识别所选择的虚拟平面上的投影轮廓的底部,并且确定假想线与与车辆所在的平面重合的接地平面的交点。 假想线穿过所识别的投影轮廓的底部和鱼眼相机。 计算设备基于所确定的交叉点和所识别的投影轮廓的底部来确定所识别的对象相对于车辆的位置。
    • 73. 发明申请
    • Orthogonal and Collaborative Disparity Decomposition
    • 正交和协同差异分解
    • US20150332474A1
    • 2015-11-19
    • US14628278
    • 2015-02-22
    • Edge 3 Technologies, Inc.
    • Tarek El DokorJordan Cluster
    • G06T7/00
    • G06T7/0008G06T7/11G06T7/174G06T7/187G06T7/536G06T7/593G06T2207/10012G06T2207/10021G06T2207/10024G06T2207/20061
    • A novel disparity computation technique is presented which comprises multiple orthogonal disparity maps, generated from approximately orthogonal decomposition feature spaces, collaboratively generating a composite disparity map. Using an approximately orthogonal feature set extracted from such feature spaces produces an approximately orthogonal set of disparity maps that can be composited together to produce a final disparity map. Various methods for dimensioning scenes and are presented. One approach extracts the top and bottom vertices of a cuboid, along with the set of lines, whose intersections define such points. It then defines a unique box from these two intersections as well as the associated lines. Orthographic projection is then attempted, to recenter the box perspective. This is followed by the extraction of the three-dimensional information that is associated with the box, and finally, the dimensions of the box are computed. The same concepts can apply to hallways, rooms, and any other object.
    • 提出了一种新的视差计算技术,其包括从近似正交分解特征空间生成的多个正交视差图,协同生成复合视差图。 使用从这样的特征空间提取的近似正交特征集合产生近似正交的视差图集合,其可以被合成在一起以产生最终视差图。 提供了各种尺寸标注场景的方法。 一种方法提取长方体的顶部和底部顶点,以及一组线,其交点定义了这些点。 然后,它们定义了来自这两个交叉点以及相关行的唯一框。 然后尝试正交投影,以更新盒子的透视图。 之后是提取与框相关联的三维信息,最后计算框的尺寸。 相同的概念可以应用于走廊,房间和任何其他物体。
    • 74. 发明授权
    • Method, apparatus and computer-readable recording medium for refocusing photographed image
    • 用于重新聚焦拍摄图像的方法,装置和计算机可读记录介质
    • US09171357B2
    • 2015-10-27
    • US13976355
    • 2012-08-17
    • Jihyeon Kate YiKanghee Edward Lee
    • Jihyeon Kate YiKanghee Edward Lee
    • G06T5/00H04N5/232G06T7/00
    • G06T5/003G06T7/536G06T2207/10004G06T2207/10028H04N5/232
    • The present disclosure relates to a method, apparatus and computer-readable recording medium for refocusing a photographed image using a depth map. According an aspect of the present disclosure, there is provided a refocusing method including a) outputting a photographed image on a display unit; b) determining whether a region to be refocused is specified in the output image; c) computing a depth map of the output image if the region to be refocused is specified; d) acquiring a refocused image by increasing resolution of the specified region to be refocused and decreasing resolution of regions other than the specified region to be refocused, based on the computed depth map; and e) outputting the refocused image on the display unit. According to the present disclosure, when an image photographed using a camera is not focused exactly or it is intended to focus on another region of the photographed image, a refocused image can be generated by specifying a region to be refocused in the photographed image.
    • 本公开涉及一种用于使用深度图重新聚焦拍摄图像的方法,装置和计算机可读记录介质。 根据本公开的一个方面,提供了一种重新聚焦方法,包括:a)在显示单元上输出所拍摄的图像; b)确定输出图像中是否指定要重新聚焦的区域; c)如果指定了要重新聚焦的区域,则计算输出图像的深度图; d)基于所计算的深度图,通过增加要重新聚焦的指定区域的分辨率和减小重新聚焦的指定区域以外的区域的分辨率来获取重新聚焦图像; 以及e)在显示单元上输出重新聚焦的图像。 根据本公开,当使用相机拍摄的图像没有精确地聚焦或者旨在聚焦在拍摄图像的另一区域时,可以通过在拍摄图像中指定要重新聚焦的区域来生成重新聚焦的图像。
    • 75. 发明申请
    • METHOD AND APPARATUS FOR DETERMINING A DEPTH OF A TARGET OBJECT
    • 用于确定目标对象深度的方法和装置
    • US20150279042A1
    • 2015-10-01
    • US14432341
    • 2012-10-01
    • TELEFONAKTIEBOLAGET L M ERICSSON (PUBL)
    • Julien Michot
    • G06T7/00
    • G06T7/536G06T5/005G06T7/529G06T2207/10028
    • A method for determining a depth of a target object in an environment is disclosed. The method comprises sensing a depth of objects within the environment with a depth sensing apparatus (1 10), identifying a disocclusion gap caused by the target object (120), detecting a position depth sensing apparatus of edge contours of the disocclusion gap (1 30), and calculating a depth of the target object from the position of the disocclusion gap edge contours and a position of the depth sensing apparatus (140). Also disclosed are a computer program product for carrying out a method for determining a depth of a target object in an environment and an apparatus (300) for determining a depth of a target object in an environment.
    • 公开了一种用于在环境中确定目标物体的深度的方法。 该方法包括用深度感测装置(110)感测环境内的物体的深度,识别由目标物体(120)引起的脱离间隙,检测位错深度检测装置的脱离间隙(110)的边缘轮廓 ),并且从所述脱离间隙边缘轮廓的位置和所述深度感测装置(140)的位置计算所述目标对象的深度。 还公开了一种用于执行用于确定环境中的目标对象的深度的方法的计算机程序产品以及用于确定环境中的目标对象的深度的装置(300)。
    • 77. 发明授权
    • Row guidance parameterization with Hough transform
    • 行引导参数化与霍夫变换
    • US09123113B2
    • 2015-09-01
    • US13791515
    • 2013-03-08
    • Raven Industries, Inc.
    • Robert Leonard Nelson, Jr.
    • G06T7/00A01B69/04
    • A01B69/008A01B69/007G05D1/0219G05D1/0246G06T7/536G06T2207/20061
    • Systems and techniques for row guidance parameterization with Hough transform are described herein. An electronic representation of a field (ERF) can be received. The ERF can include a set of feature sets including one of a set of crop row features or a set of furrow features. A first parameter space can be produced by applying a slope-intercept Hough transform (SLIHT) to members of a feature set. Peaks in the first parameter space can be identified. A second parameter space can be produced by application of the SLIHT to the peaks. A vanishing point can be calculated based on a vanishing point peak in the second parameter space. A track-angle error can be calculated from the vanishing point.
    • 本文描述了使用霍夫变换进行行引导参数化的系统和技术。 可以接收字段(ERF)的电子表示。 ERF可以包括一组特征集,其包括一组裁剪行特征或一组沟槽特征中的一个。 可以通过对特征集的成员应用斜率截距霍夫变换(SLIHT)来产生第一参数空间。 可以识别第一个参数空间中的峰。 可以通过将SLIHT应用于峰值来产生第二参数空间。 可以基于第二参数空间中的消失点峰值来计算消失点。 可以从消失点计算出轨迹角误差。
    • 79. 发明授权
    • Using photo collections for three dimensional modeling
    • 使用照片集进行三维建模
    • US09001120B2
    • 2015-04-07
    • US13708448
    • 2012-12-07
    • Microsoft Corporation
    • Drew SteedlyRick SzeliskiSudipta SinhaManeesh Agrawala
    • G06T15/00G06T17/00G06T7/00G06T15/20
    • G06T17/00G06T7/536G06T7/564G06T15/205G06T2200/08G06T2207/10016
    • A collection of photos and a three-dimensional reconstruction of the photos are used to construct and texture a mesh model. In one embodiment, a first digital image of a first view of a real world scene is analyzed to identify lines in the first view. Among the lines, parallel lines are identified. A three-dimensional vanishing direction in a three-dimensional space is determined based on the parallel lines and an orientation of the digital image in the three-dimensional space. A plane is automatically generated by fitting the plane to the vanishing direction. A rendering of a three-dimensional model with the plane is displayed. Three-dimensional points corresponding to features common to the photos may be used to constrain the plane. The photos may be projected onto the model to provide visual feedback when editing the plane. Furthermore, the photos may be used to texture the model.
    • 使用照片的集合和照片的三维重建来构造和纹理网格模型。 在一个实施例中,分析现实世界场景的第一视图的第一数字图像以识别第一视图中的线。 在行中,确定了平行线。 基于三维空间中的数字图像的平行线和取向来确定三维空间中的三维消失方向。 通过将平面装配到消失方向,自动生成平面。 显示用平面渲染三维模型。 对应于照片共同特征的三维点可以用于约束平面。 照片可以投影到模型上,以便在编辑飞机时提供视觉反馈。 此外,照片可以用于纹理模型。