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    • 3. 发明申请
    • Image segmentation using branch and bound analysis
    • 使用分支和边界分析的图像分割
    • US20050226493A1
    • 2005-10-13
    • US10815896
    • 2004-03-31
    • Yoram GatHorst Haussecker
    • Yoram GatHorst Haussecker
    • G06K9/00G06T5/00G06T7/00
    • G06T7/0006G06T7/11G06T7/162G06T2207/10056G06T2207/30141G06T2207/30148
    • According to an embodiment of the invention, a method and apparatus for image segmentation are described. An embodiment of a method comprises inserting a state comprising a set of image segmentations into a queue, the queue being ordered by priority, the set of image segmentations having a priority representing a bound for a quality of the segmentations; extracting the state in the queue having the highest priority; if the extracted state is a terminal state, halting and outputting the extracted state as a solution; if the extracted state is not a terminal state refining the extracted state into a plurality of sets of segmentations, each of the plurality of sets having a priority, inserting the plurality of sets of segmentations into the queue, and iteratively repeating the extraction of the state in the queue having the highest priority.
    • 根据本发明的实施例,描述了一种用于图像分割的方法和装置。 一种方法的实施例包括将包括一组图像分段的状态插入到队列中,该队列按优先顺序排列,所述一组图像分割具有表示对分段质量的限制的优先级; 提取具有最高优先级的队列中的状态; 如果所提取的状态是终端状态,则停止并输出所提取的状态作为解决方案; 如果所提取的状态不是终止状态,则将所提取的状态改进为多个分割集合,则所述多个集合中的每一个具有优先级,将所述多个分段集合插入队列中,并且迭代地重复所述状态的提取 在队列中具有最高优先级。
    • 4. 发明授权
    • Augmenting image data based on related 3D point cloud data
    • 基于相关3D点云数据增强图像数据
    • US08872851B2
    • 2014-10-28
    • US12890251
    • 2010-09-24
    • Maha El ChoubassiIgor V. KozintsevYi WuYoram GatHorst Haussecker
    • Maha El ChoubassiIgor V. KozintsevYi WuYoram GatHorst Haussecker
    • G09G5/00G06T7/00G06T17/00G06T11/00
    • G06T7/0081G06T7/11G06T11/00G06T17/00G06T2207/10028G06T2210/56
    • Embodiments of the invention describe processing a first image data and 3D point cloud data to extract a first planar segment from the 3D point cloud data. This first planar segment is associated with an object included in the first image data. A second image data is received, the second image data including the object captured in the first image data. A second planar segment related to the object is generated, where the second planar segment is geometrically consistent with the object as captured in the second image data. This planar segment is generated based, at least in part, on the second image data, the first image data and the first planar segment. Embodiments of the invention may further augment the second image data with content associated with the object. This augmented image may be displayed such that the content is displayed geometrically consistent with the second planar segment.
    • 本发明的实施例描述了处理第一图像数据和3D点云数据以从3D点云数据中提取第一平面段。 该第一平面段与包括在第一图像数据中的对象相关联。 接收第二图像数据,第二图像数据包括在第一图像数据中捕获的对象。 产生与对象相关的第二平面段,其中第二平面段与第二图像数据中捕获的对象几何一致。 至少部分地基于第二图像数据,第一图像数据和第一平面片段生成该平面片段。 本发明的实施例可以进一步增加具有与对象相关联的内容的第二图像数据。 可以显示该增强图像,使得内容与第二平面段几何一致地显示。
    • 7. 发明申请
    • AUGMENTING IMAGE DATA BASED ON RELATED 3D POINT CLOUD DATA
    • 基于相关3D点云数据建立图像数据
    • US20120075342A1
    • 2012-03-29
    • US12890251
    • 2010-09-24
    • Maha El ChoubassiIgor V. KozintsevYi WuYoram GatHorst Haussecker
    • Maha El ChoubassiIgor V. KozintsevYi WuYoram GatHorst Haussecker
    • G09G5/00
    • G06T7/0081G06T7/11G06T11/00G06T17/00G06T2207/10028G06T2210/56
    • Embodiments of the invention describe processing a first image data and 3D point cloud data to extract a first planar segment from the 3D point cloud data. This first planar segment is associated with an object included in the first image data. A second image data is received, the second image data including the object captured in the first image data. A second planar segment related to the object is generated, where the second planar segment is geometrically consistent with the object as captured in the second image data. This planar segment is generated based, at least in part, on the second image data, the first image data and the first planar segment.Embodiments of the invention may further augment the second image data with content associated with the object. This augmented image may be displayed such that the content is displayed geometrically consistent with the second planar segment.
    • 本发明的实施例描述了处理第一图像数据和3D点云数据以从3D点云数据中提取第一平面段。 该第一平面段与包括在第一图像数据中的对象相关联。 接收第二图像数据,第二图像数据包括在第一图像数据中捕获的对象。 产生与对象相关的第二平面段,其中第二平面段与第二图像数据中捕获的对象几何一致。 至少部分地基于第二图像数据,第一图像数据和第一平面片段生成该平面片段。 本发明的实施例可以进一步增加具有与对象相关联的内容的第二图像数据。 可以显示该增强图像,使得内容与第二平面段几何一致地显示。
    • 8. 发明申请
    • Image recognition algorithm, method of identifying a target image using same, and method of selecting data for transmission to a portable electronic device
    • 图像识别算法,使用其识别目标图像的方法以及选择用于传输到便携式电子设备的数据的方法
    • US20100135527A1
    • 2010-06-03
    • US12315405
    • 2008-12-02
    • Yi WuHorst HausseckerIgor Kozintsev
    • Yi WuHorst HausseckerIgor Kozintsev
    • G06K9/00G10L15/04
    • G06K9/6292G06K9/00664G10L15/26
    • An image recognition algorithm includes a keypoints-based comparison and a region-based color comparison. A method of identifying a target image using the algorithm includes: receiving an input at a processing device, the input including data related to the target image; performing a retrieving step including retrieving an image from an image database, and, until the image is either accepted or rejected, designating the image as a candidate image; performing an image recognition step including using the processing device to perform an image recognition algorithm on the target and candidate images in order to obtain an image recognition algorithm output; and performing a comparison step including: if the image recognition algorithm output is within a pre-selected range, accepting the candidate image as the target image; and if the image recognition algorithm output is not within the pre-selected range, rejecting the candidate image and repeating the retrieving, image recognition, and comparison steps.
    • 图像识别算法包括基于关键点的比较和基于区域的颜色比较。 使用所述算法识别目标图像的方法包括:在处理装置处接收输入,所述输入包括与所述目标图像有关的数据; 执行检索步骤,包括从图像数据库检索图像,并且直到图像被接受或拒绝为止,将图像指定为候选图像; 执行图像识别步骤,包括使用所述处理装置对所述目标图像和候选图像执行图像识别算法,以便获得图像识别算法输出; 并且执行比较步骤,包括:如果图像识别算法输出在预选范围内,则接受候选图像作为目标图像; 并且如果图像识别算法输出不在预选范围内,则拒绝候选图像并重复检索,图像识别和比较步骤。