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    • 3. 发明申请
    • DIGITAL FITNESS ENHANCEMENT METHOD AND APPARATUS
    • 数字适应性增强方法和装置
    • WO2007022421A2
    • 2007-02-22
    • PCT/US2006032338
    • 2006-08-17
    • GRAY ROBERTPEPPEL TYLER
    • GRAY ROBERTPEPPEL TYLER
    • G06F19/00
    • G06F19/3481G06Q30/0601G06Q50/22
    • The presently preferred embodiment of the invention provides a digital fitness enhancement system having multiple components, including controlled playback of digital media for fitness training; a data module which acquires real-time training data, such as heart rate, speed, and distance, where the data can be recorded and also used as feedback to control media playback; and a web service (fitpod.com) which provides tools for storage and analysis of personal fitness data, community services for system users, e.g. events, chat, and a bulletin board, and the ability for users to create and share fitness workout and training programs (fitcasts).
    • 本发明的当前优选实施例提供了一种具有多个部件的数字适应度增强系统,包括用于健身训练的数字媒体的受控播放; 数据模块,其获取诸如心率,速度和距离的实时训练数据,其中可以记录数据,并且还用作反馈以控制媒体回放; 以及网络服务(fitpod.com),其提供用于个人健身数据的存储和分析的工具,用于系统用户的社区服务。 活动,聊天和公告牌,以及用户创建和分享健身锻炼和训练计划(fitcasts)的能力。
    • 5. 发明申请
    • CUT-LINE STEERING METHODS FOR FORMING A MOSAIC IMAGE OF A GEOGRAPHICAL AREA
    • 用于形成地理区域的马赛克图像的切线方法
    • WO2010017255A3
    • 2010-05-06
    • PCT/US2009052776
    • 2009-08-05
    • PICTOMETRY INT CORPGIUFFRIDA FRANKSCHULTZ STEPHENGRAY ROBERTBRADACS ROBERT
    • GIUFFRIDA FRANKSCHULTZ STEPHENGRAY ROBERTBRADACS ROBERT
    • G06T3/00G06T1/00
    • G06T3/4038G01C11/02G06T7/12G06T11/60G06T2207/10016G06T2207/10032G06T2207/30184
    • A method for automatically steering mosaic cut lines along preferred routes to form an output mosaic image includes the step of creating an assignment map corresponding to the output mosaic image where each pixel has an initial designation of unassigned. Then, each pixel of the assignment map that intersects the preferred routes is marked as being a Preferred Cut Line pixel to divide the Assignment Map into one or more regions. For each region, a search is conducted to locate one or more source images that completely cover that region. If multiple source images completely covering the region are located, the method uses a Selection Heuristic to determine quality of coverage, and then designates each pixel in that region as being assigned to the source image determined to be best by the Selection Heuristic. For any remaining unassigned regions, the method searches for two or more source images whose combined footprint completely covers the region, and for each set of two or more combined images, a Pairing Heuristic is used for determining quality of coverage. Each pixel in the region is designated as being assigned to the two or more combined images determined best by the Pairing Heuristic. Then, the Preferred Cut Line pixels are redesignated to match the image assignments of their bounded regions, and the output mosaic image is formed by contributing pixel values from the source images based upon the designations set forth in the assignment map.
    • 一种用于沿优选路线自动转向马赛克切割线以形成输出马赛克图像的方法,包括创建与输出马赛克图像相对应的分配图的步骤,其中每个像素具有未分配的初始指定。 然后,与首选路线相交的分配图中的每个像素都被标记为首选切割线像素,以将分配图划分为一个或多个区域。 对于每个区域,执行搜索以找到完全覆盖该区域的一个或多个源图像。 如果多个源图像完全覆盖该区域,则该方法使用选择启发式来确定覆盖质量,然后将该区域中的每个像素指定为被选择启发式确定为最佳的源图像。 对于任何剩余的未分配区域,该方法搜索两个或更多源图像,其组合图像完全覆盖该区域,并且对于每组两个或更多个组合图像,使用配对启发式来确定覆盖质量。 该区域中的每个像素被指定为被分配给由配对启发式确定最佳确定的两个或更多个组合图像。 然后,优选切割线像素被重新指定以匹配其有界区域的图像指定,并且输出马赛克图像通过基于赋值图中所述的指定来自源图像的贡献像素值而形成。
    • 7. 发明申请
    • MANUALLY-ASSISTED AUTOMATED INDEXING OF IMAGES USING FACIAL RECOGNITION
    • 手动自动识别使用人脸识别的图像索引
    • WO2007011709A3
    • 2007-06-21
    • PCT/US2006027323
    • 2006-07-12
    • YOUFINDER INTELLECTUAL PROPERTGOLDBERG DAVID AGRAY ROBERTANGELL JOEROSE JEFFREY
    • GOLDBERG DAVID AGRAY ROBERTANGELL JOEROSE JEFFREY
    • G06K9/00
    • G06K9/033G06K9/00295
    • The present method relates to the manual assistance for the automated indexing (100) of a collection of images using facial recognition. In a first automated indexing step, automated indexing of faces within a collection of images is performed, creating sets of faces each of which comprises faces that are determined by the automated process to be representative of the same person. In a second splitting step (200), sets are displayed to an operator, who determines whether there are false-positive associations within a set. If false-positive associations are found, the faces representing different people are manually split into different sets, hi this way, there will be no false-positive associations within the collection of images, hi a third merging step (300), sets that have some' degree of similarity are presented to the operator, who determines whether the two sets comprise representations of the same person. If so, the two sets are manually merged, thereby eliminating false-negative errors. In this way, all of the faces in the image collection can be completely and accurately indexed.
    • 本方法涉及使用面部识别的图像集合的自动索引(100)的手动辅助。 在第一自动索引步骤中,执行图像集合内的面部的自动索引,创建一组面部,每个面部包括由自动化过程确定为代表相同人物的面部。 在第二分割步骤(200)中,将集合显示给运算符,运算符确定集合内是否存在假阳性关联。 如果发现假阳性关联,则表示不同人物的面部手动分割成不同的集合。这样,图像集合内将不存在假阳性关联。在第三合并步骤(300)中,具有 一些相似度呈现给运营商,运营商决定这两个组合是否包含同一个人的表示。 如果是这样,这两套手动合并,从而消除假阴性错误。 以这种方式,图像集合中的所有面都可以被完全和准确的编入索引。
    • 8. 发明申请
    • MOSAIC OBLIQUE IMAGES AND METHODS OF MAKING AND USING SAME
    • WO2008028040A3
    • 2008-11-13
    • PCT/US2007077242
    • 2007-08-30
    • PICTOMETRY INT CORPSCHULTZ STEPHENGIUFFRIDA FRANKGRAY ROBERT
    • SCHULTZ STEPHENGIUFFRIDA FRANKGRAY ROBERT
    • G06K9/26G06K9/32G09G5/00
    • G06T11/60G06T3/0031G06T3/0093G06T3/4038G06T7/50G06T7/97G06T2207/30176
    • A method for creating an oblique-mosaic image from a plurality of source images is disclosed. Initially, a desired area to be imaged and collected into an oblique-mosaic image is identified (18) and then a mathematical model of a sensor of a virtual camera (20) is created (22), where the virtual camera has an elevation greater than an elevation of the area to be imaged. The mathematical model has an oblique-mosaic pixel map for the sensor of the desired area. A surface location is determined for each pixel included in the oblique mosaic pixel map (24), and at least one source oblique image pixel of the area to be imaged is reprojected for each pixel included in the oblique-mosaic pixel map to thereby create an oblique- mosaic image of the desired geographical area (26). Further, techniques for compensating for building lean in oblique- mosaic images are disclosed (28).
    • 公开了一种用于从多个源图像生成倾斜马赛克图像的方法。 首先,识别要成像并收集到倾斜马赛克图像中的所需区域(18),然后创建虚拟相机(20)的传感器的数学模型(22),其中虚拟相机具有较大的仰角 比要成像的区域的高度。 数学模型具有用于所需区域的传感器的倾斜马赛克像素图。 针对包括在斜马赛克像素图(24)中的每个像素确定表面位置,并且对于包括在斜马赛克像素图中的每个像素重新投影要成像的区域的至少一个源倾斜图像像素,从而创建 所需地理区域的斜马赛克图像(26)。 此外,公开了用于补偿倾斜马赛克图像中的建筑物的技术(28)。