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    • 1. 发明申请
    • OBJECT TRACKING FOR ARTIFICIAL VISION
    • 人工视觉对象跟踪
    • WO2011038465A1
    • 2011-04-07
    • PCT/AU2010/001290
    • 2010-09-30
    • NATIONAL ICT AUSTRALIA LIMITEDBARNES, NickSHEN, Chunhua
    • BARNES, NickSHEN, Chunhua
    • A61F2/00A61F2/14A61F9/08G06E1/00G06F9/00G06K9/32G06T7/00H04N7/00H04N15/00
    • G09B21/008A61F9/08A61N1/36046G06K9/605G06T11/60H04N7/002
    • This invention concerns the tracking of objects in video data for artificial vision; for instance for a bionic eye. More particularly, the invention concerns a vision enhancement apparatus for a vision-impaired user. In other aspects, the invention concerns a method for enhancing vision and software to perform the method. The image processor operates to process video data representing images of a scene. Automatically detect and track a user selected object, such as a face, in the images. And, automatically modify the video data, by reserving a user selected area of the displayed images for displaying the tracked object as a separate video tile within the scene. The separate video tile remains in the selected area despite movement of the camera relative to the scene, or movement of the user relative to the object or the scene.
    • 本发明涉及用于人造视觉的视频数据中的对象的跟踪; 例如用于仿生眼。 更具体地说,本发明涉及一种视觉障碍用户的视力增强装置。 在其他方面,本发明涉及用于增强视觉和软件以执行该方法的方法。 图像处理器操作以处理表示场景的图像的视频数据。 在图像中自动检测和跟踪用户选择的对象(如脸部)。 并且,通过将所显示的图像的用户选择区域保留为场景内的单独的视频图块来自动修改视频数据,用于显示被跟踪的对象。 尽管照相机相对于场景的移动,或相对于物体或场景的使用者的移动,单独的视频瓷砖保留在所选择的区域中。
    • 2. 发明申请
    • REPRESENTING A SURFACE OF AN OBJECT APPEARING IN AN ELECTRONIC IMAGE
    • 表示在电子图像中出现的对象的表面
    • WO2011057318A1
    • 2011-05-19
    • PCT/AU2009/001370
    • 2009-10-19
    • NATIONAL ICT AUSTRALIA LIMITEDLIEBY, PauletteBARNES, Nick
    • LIEBY, PauletteBARNES, Nick
    • G06T15/00
    • G06T17/20
    • The invention concerns representing three-dimensional surface information of an object appearing in an' electronic image (14), such as for medical diagnostic purposes. A partitioning module (14a) partitions (200) the object into multiple three-dimensional parts. A representation module (14b) determines for each part a representation (202) of the three- dimensional surface of that part using a scale space analysis of the shape index and curvedness of the surface of that part. The representation offers a complementary understanding of the nature of the shape of the object using a shape index and curvedness for surface description, a scale space analysis of the surface and a, localisation of that analysis through a partitioning of the surface. The resulting representation is specific to particular regions ( i.e. parts) of the shape. In this way the representation is not a single global descriptor of the shape of the object. By being specific to particular regions the representation of the surface is better able to capture subtle differences in the shape classes ( i.e. roughness vs smoothness).
    • 本发明涉及表示出现在“电子图像(14)”中的对象的三维表面信息,例如用于医学诊断目的。 分区模块(14a)将对象分割(200)成多个三维部分。 表示模块(14b)使用对该部分的表面的形状指数和曲线的尺度空间分析来确定每个部分的该部分的三维表面的表示(202)。 该表示使用表面描述的形状指数和曲面,表面的尺度空间分析和通过表面分割对该分析的定位,提供对对象形状的性质的补充性理解。 所得到的表示对于形状的特定区域(即,部分)是特定的。 以这种方式,表示不是对象形状的单个全局描述符。 通过特定于特定区域,表面的表示能够更好地捕获形状类别(即粗糙度与平滑度)之间的微妙差异。
    • 3. 发明申请
    • VISION ENHANCEMENT FOR A VISION IMPAIRED USER
    • 视力不良用户的愿景增强
    • WO2011041842A1
    • 2011-04-14
    • PCT/AU2010/001320
    • 2010-10-07
    • NATIONAL ICT AUSTRALIA LIMITEDBARNES, Nick
    • BARNES, Nick
    • A61F9/08G01S13/88G06F19/00
    • A61N1/36046A61N1/3606A61N1/36128
    • This invention concerns a vision enhancement apparatus that improves vision for a vision-impaired user of interface equipment. Interface equipment stimulates the user's cortex, directly or indirectly, to provide artificial vision. It may include a passive sensor to acquire real-time high resolution video data representing the vicinity of the user. A sight processor to receive the acquired high resolution data and automatically: Analyse the high resolution data to extract depth of field information concerning objects of interest. Extract lower resolution data representing the vicinity of the user. And, provide both the depth of field information concerning objects of interest and the lower resolution data representing the vicinity of the user to the interface equipment to stimulate artificial vision for the user.
    • 本发明涉及一种视觉增强装置,其提高界面设备的视力受损用户的视力。 界面设备直接或间接地刺激使用者皮质,提供人工视觉。 它可以包括无源传感器来获取表示用户附近的实时高分辨率视频数据。 用于接收所获取的高分辨率数据并自动进行的视觉处理器:分析高分辨率数据以提取关于感兴趣对象的景深信息。 提取表示用户附近的较低分辨率数据。 并且向接口设备提供关于感兴趣对象的景深信息和表示用户附近的较低分辨率数据,以刺激用户的人造视觉。
    • 4. 发明申请
    • ENHANCING VISION FOR A VISION IMPAIRED USER
    • 增强愿景让目标用户
    • WO2016037238A1
    • 2016-03-17
    • PCT/AU2015/050537
    • 2015-09-10
    • NATIONAL ICT AUSTRALIA LIMITED
    • MCCARTHY, ChrisBARNES, Nick
    • A61F2/14H04N5/235
    • A61N1/36046A61N1/0531A61N1/0543A61N1/0548H04N5/243
    • The present disclosure provides a computer-implemented method for enhancing vision for a vision impaired user. The method comprises, for a point in an input image, determining (210) a weight for the point based on visual importance of the point in the input image; comparing (220) the weight for the point to a threshold; and if the weight for the point meets the threshold, determining (230) a first output value for an imaging element of a vision enhancement apparatus so that a difference between the first output value and an intensity level of a portion of the input image neighbouring the point increases with the weight, wherein the difference is at least one Just-Noticeable- Difference of the vision enhancement apparatus, such that when the first output value is applied to the imaging element of the vision enhancement apparatus to create a first visual stimulus, the first visual stimulus is substantially perceivable by the vision impaired user.
    • 本公开提供了一种用于增强视力受损用户的视力的计算机实现的方法。 该方法包括对于输入图像中的一点,基于输入图像中的点的视觉重要性来确定(210)该点的权重; 将点的重量与阈值进行比较(220); 并且如果所述点的权重满足阈值,则确定(230)视觉增强装置的成像元件的第一输出值,使得所述第一输出值与所述输入图像的邻近所述输入图像的部分的强度级之间的差 随着重量的增加,其中差异是视觉增强装置的至少一个Just-Noteable-Difference,使得当第一输出值被应用于视觉增强装置的成像元件以创建第一视觉刺激时, 第一视觉刺激基本上被视力受损的使用者所感知。
    • 5. 发明申请
    • DETERMINATION OF PARAMETER VALUES FOR SENSORY SUBSTITUTION DEVICES
    • 确定传感器替代设备的参数值
    • WO2016015099A1
    • 2016-02-04
    • PCT/AU2015/050425
    • 2015-07-28
    • NATIONAL ICT AUSTRALIA LIMITED
    • STRONKS, Hendrik ChristiaanBARNES, NickPARKER, Daniel John
    • G06F19/00A61F9/00G08B6/00
    • A61H23/02A61F9/08G08B6/00
    • The present disclosure provides a computer-implemented method for representing intensity levels indicative of a first type of sense of a subject (150) by parameter values for a different second type of sense of the subject (150). The method comprises determining (210) a first parameter value for the second type of sense representing a first intensity level indicative of the first type of sense; and determining (220) a second parameter value for the second type of sense representing a second intensity level indicative of the first type of sense with reference to the first parameter value, wherein the first parameter value differs from the second parameter value by at least one Just-Noticeable-Difference (JND) of the second type of sense of the subject (150).
    • 本公开提供了一种计算机实现的方法,用于通过用于对象(150)的不同第二类感觉的参数值来表示指示对象(150)的第一类型的感觉的强度水平。 该方法包括确定(210)第二种类型的感测的第一参数值,该第二参数值表示第一类型的感觉的第一强度级别; 以及参考所述第一参数值,确定(220)表示表示所述第一类型感测的第二强度级别的所述第二类型感测的第二参数值,其中所述第一参数值与所述第二参数值不同至少一个 第二类主体意识(150)的Just-Noticeable-Difference(JND)。
    • 6. 发明申请
    • ENHANCING VISION FOR A VISION IMPAIRED USER
    • 增强愿景让目标用户
    • WO2015010164A1
    • 2015-01-29
    • PCT/AU2014/050142
    • 2014-07-22
    • NATIONAL ICT AUSTRALIA LIMITED
    • BARNES, NickHE, Xuming
    • G06T5/00A61F2/14
    • A61N1/36046G06T5/008G06T5/50G06T7/11G06T7/162G06T7/174G06T2207/10016G06T2207/10024G06T2207/20072G06T2207/30041
    • This disclosure concerns a method for enhancing vision for a vision impaired user comprises. A processor, such as a controller of a retinal prosthesis, determines based on input image data a shape associated with an object represented by the input image data. The processor then determines for each of multiple areas of the input image data a coverage value that indicates to what extent the shape covers that area of the input image. Each of the multiple areas is associated with one of multiple imaging elements of the retinal prosthesis. The processor then determines an output value for each of the multiple imaging elements of the retinal prosthesis, such that when the output values are applied to the imaging elements to create a visual stimulus, a contrast is perceivable between a first element and a second element based on their respective coverage values.
    • 本公开涉及用于增强视力受损用户的视力的方法,包括。 诸如视网膜假体的控制器的处理器基于输入图像数据确定与由输入图像数据表示的对象相关联的形状。 然后,处理器为输入图像数据的多个区域中的每一个确定覆盖值,该覆盖值指示形状覆盖输入图像的该区域的程度。 多个区域中的每一个与视网膜假体的多个成像元件中的一个相关联。 然后处理器确定视网膜假体的多个成像元件中的每一个的输出值,使得当将输出值应用于成像元件以产生视觉刺激时,可以在第一元件和第二元件之间感知到对比度 各自的覆盖率。
    • 7. 发明申请
    • REDUCING THE DYNAMIC RANGE OF IMAGE DATA
    • 减少图像数据的动态范围
    • WO2013166544A1
    • 2013-11-14
    • PCT/AU2013/000465
    • 2013-05-06
    • NATIONAL ICT AUSTRALIA LIMITED
    • LI, YiBARNES, Nick
    • G06T5/00
    • G06T5/007G06T2207/10012G06T2207/10016G06T2207/10024G06T2207/10028G06T2207/20012G06T2207/20208
    • This disclosure concerns the determination of low dynamic range image data from high dynamic range image data. A processor determines the low dynamic range image data by optimising a degree to which the low dynamic range image data satisfies a local contrast constraint and a global consistency constraint. The local contrast constraint is based on a local contrast in a perception space while the global consistency constraint is based on a relationship between points in the high dynamic range image data. The determined low dynamic range image data preserves the local contrast from the high dynamic range image data while also preserving the relationship between points in the high dynamic range image data to a high degree. As a result, the method prevents contrast distortion, halos and artifacts and ordering of level lines (isocontours) is preserved.
    • 本公开涉及从高动态范围图像数据确定低动态范围图像数据。 处理器通过优化低动态范围图像数据满足局部对比约束和全局一致性约束的程度来确定低动态范围图像数据。 局部对比约束基于感知空间中的局部对比度,而全局一致性约束基于高动态范围图像数据中的点之间的关系。 确定的低动态范围图像数据保持来自高动态范围图像数据的局部对比度,同时还高度保持高动态范围图像数据中的点之间的关系。 因此,该方法可以防止对比度失真,光栅和伪影以及等级线(异形体)的排序。