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    • 2. 发明授权
    • Method and arrangement for image retrieval based on multiple images
    • EP2746962B1
    • 2018-04-04
    • EP12306631.8
    • 2012-12-20
    • ALCATEL LUCENT
    • Namboodiri, VinayFeki, Mohamed AliSix, Erwin
    • G06F17/30
    • G06F17/30256G06F17/30244G06K9/6215G06K9/68
    • A Method for retrieving at least one image from a database (DB) of images based on at least two input images (image i, image j), comprises the steps of - determining (120) first low level feature correspondences (LC1) between said at least two input images (image i, image j), - searching (200) within said database (DB) for at least two sets (Mi, Mj) of images respectively matching said at least to images (image i, image j), - determining (120) second low level features correspondences (LC2) between respective images from said at least two sets of images (Mi, Mj), - determining (130) a first set of relationships (RLC1) between entities of said at least two input images (image i, image j) based on said first low level feature correspondences (LC1), - determining (130) a second set of relationships (RLC2) between respective entities of said respective images from said at least two sets of images (Mi, Mj) based on said second low level feature correspondences (LC2), - identifying (300) matching relationships between said first set of relationships (RLC1) and said second set of relationships (RLC2), - checking (400) the quality of the matching relationships, and, if matching relationships of sufficient quality are found, retrieving (500) the at least one image corresponding to the matching relationships of said second set from said database, and - providing said at least one image of said second set as output .
    • 6. 发明公开
    • SYSTEM AND METHOD FOR CREATING A COLLECTION OF IMAGES
    • SYSTEM UND VERFAHREN ZUR ERSTELLUNG EINER SAMMLUNG VON BILDERN
    • EP2537124A4
    • 2017-08-16
    • EP11744357
    • 2011-02-17
    • PHOTOCCINO LTD
    • BERCOVICH MOSHEKENIS ALEXANDERCOHEN ERAN
    • G06K9/62
    • G06K9/6221G06F17/30244G06F17/30268G06F17/3028G06F17/30598G06K9/6267
    • System and method for creating a collection of images are described, the method comprising: receiving images from at least one source of images; processing the images to produce an output collection of images, the processing comprising grouping the images to clusters of related images and selecting the preferred images in the clusters; and outputting the output collection of images, the output collection of images comprising the clusters of related images and indication of the preferred images in the clusters. The system for creating a collection of images comprising: a storage medium to receive images from at least one source of images; a processor to produce an output collection of images by grouping the images to clusters of related images and selecting the preferred images in the clusters; and a collection output medium for outputting the output collection of images.
    • 描述了用于创建图像集合的系统和方法,该方法包括:从至少一个图像源接收图像; 处理所述图像以产生图像的输出集合,所述处理包括将所述图像分组为相关图像的群集并且在所述群集中选择所述优选图像; 并且输出图像的输出集合,图像的输出集合包括相关图像的集群以及集群中优选图像的指示。 所述用于创建图像集合的系统包括:存储介质,用于从至少一个图像源接收图像; 处理器,用于通过将图像分组成相关图像的群集并选择群集中的优选图像来产生图像的输出集合; 以及用于输出图像的输出集合的采集输出介质。
    • 7. 发明公开
    • IDENTIFYING CONTENT ITEMS USING A DEEP-LEARNING MODEL
    • 吸烟者密歇根大学深潜训练
    • EP3166025A1
    • 2017-05-10
    • EP16169502.8
    • 2016-05-13
    • Facebook, Inc.
    • Bourdev, Lubomir DimitrovPaluri, BalmanoharRippel, OrenDollar, Piotr
    • G06F17/30G06Q50/00G06K9/62
    • G06Q50/01G06F17/30244G06K9/00624G06K9/4628G06K9/6218G06K9/6271
    • In one embodiment, a method may include receiving a first content item. A first embedding of the first content item may be determined and may correspond to a first point in an embedding space. The embedding space may include a plurality of second points corresponding to a plurality of second embeddings of second content items. The embeddings are determined using a deep-learning model. The points are located in one or more clusters in the embedding space, which are each associated with a class of content items. Locations of points within clusters may be based on one or more attributes of the respective corresponding content items. Second content items that are similar to the first content item may be identified based on the locations of the first point and the second points and on particular clusters that the second points corresponding to the identified second content items are located in.
    • 在一个实施例中,一种方法可以包括接收第一内容项。 可以确定第一内容项的第一嵌入,并且可以对应于嵌入空间中的第一点。 嵌入空间可以包括对应于第二内容项的多个第二嵌入的多个第二点。 使用深度学习模型确定嵌入。 点位于嵌入空间中的一个或多个集群中,每个集群都与一类内容项相关联。 集群内的点的位置可以基于相应的相应内容项的一个或多个属性。 可以基于第一点和第二点的位置以及对应于所识别的第二内容项目的第二点所在的特定集群来识别与第一内容项目相似的第二内容项目。
    • 10. 发明公开
    • CO-LOCATED SCANNING, PRINTING AND/OR MACHINING DEVICES FOR MEDICAL CONSTRUCTS
    • POSITIONSGLEICHE ABTASTUNG,DRUCK-UND / ODER BEARBEITUNGSWERKZEUGEFÜRMEDISINISCHE KONSTRUKTE
    • EP3007609A1
    • 2016-04-20
    • EP14810492.0
    • 2014-06-14
    • Osiris Biomed 3D, Llc
    • LIN, Samuel, Jui-wenLEE, Bernard, T.GERSTLE, Theodore, L.
    • A61B1/04
    • G05B19/4099G05B2219/45168G05B2219/45172G06F17/30244H04N1/00827
    • The present disclosure provides devices and methods for obtaining images of body parts, implants, bones, and other areas of a patient that are involved in plastic or reconstructive surgery. A scanning device obtains an image of a body part of a patient to be replicated, sends it to a computer for review and/or manipulation, and the computer sends it to a printer or fabricator for reproduction. The scanning device, computer, and/or printer can be co-located, meaning that they are within the same facility. As an alternative to scanning the patient's body part, the computer of the present disclosure can obtain an image of the required body part from a stored set of anthropometric data on a database. The surgeon can modify the part produced from the anthropometric data as needed.
    • 本公开提供了用于获得参与塑性或重建手术的患者的身体部位,植入物,骨骼和其他区域的图像的装置和方法。 扫描装置获取要复制的患者的身体部位的图像,将其发送到计算机进行审查和/或操纵,并且计算机将其发送到打印机或制造商进行再现。 扫描设备,计算机和/或打印机可以位于同一位置,这意味着它们在同一设施内。 作为扫描患者身体部位的替代方案,本公开的计算机可以从数据库上存储的一组人体测量数据获得所需身体部位的图像。 外科医生可根据需要修改从人体测量数据生成的部位。