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    SYSTEM AND METHOD FOR COMBINING DATA FROM MULTIPLE DEPTH CAMERAS
    11.
    发明申请
    SYSTEM AND METHOD FOR COMBINING DATA FROM MULTIPLE DEPTH CAMERAS 审中-公开
    用于从多个深度摄像机组合数据的系统和方法

    公开(公告)号：US20140104394A1

    公开(公告)日：2014-04-17

    申请号：US13652181

    申请日：2012-10-15

    Applicant: INTEL CORPORATION

    Inventor： Yaron Yanai ,  Maoz Madmoni ,  Gilboa Levy ,  Gershom Kutliroff

    IPC: H04N13/02

    CPC classification number: G06F3/017 ,  G06F3/0304 ,  G06T3/4038 ,  H04N5/23238 ,  H04N13/254 ,  H04N13/271

    Abstract: A system and method for combining depth images taken from multiple depth cameras into a composite image are described. The volume of space captured in the composite image is configurable in size and shape depending upon the number of depth cameras used and the shape of the cameras' imaging sensors. Tracking of movements of a person or object can be performed on the composite image. The tracked movements can subsequently be used by an interactive application.

    Abstract translation: 描述将从多个深度相机拍摄的深度图像组合成合成图像的系统和方法。 根据所使用的深度相机的数量和相机的成像传感器的形状，在合成图像中捕获的空间体积可根据尺寸和形状进行配置。 可以对合成图像执行人或物体的移动跟踪。 跟踪的动作随后可以由交互式应用程序使用。

    3-dimensional scene analysis for augmented reality operations
    13.
    发明授权
    3-dimensional scene analysis for augmented reality operations 有权

    公开(公告)号：US10373380B2

    公开(公告)日：2019-08-06

    申请号：US15046614

    申请日：2016-02-18

    Applicant: INTEL CORPORATION

    Inventor： Gershom Kutliroff ,  Yaron Yanai ,  Shahar Fleishman ,  Mark Kliger

    IPC: G06K9/00 ,  G06T19/00 ,  G06T7/10

    Abstract: Techniques are provided for 3D analysis of a scene including detection, segmentation and registration of objects within the scene. The analysis results may be used to implement augmented reality operations including removal and insertion of objects and the generation of blueprints. An example method may include receiving 3D image frames of the scene, each frame associated with a pose of a depth camera, and creating a 3D reconstruction of the scene based on depth pixels that are projected and accumulated into a global coordinate system. The method may also include detecting objects, and associated locations within the scene, based on the 3D reconstruction, the camera pose and the image frames. The method may further include segmenting the detected objects into points of the 3D reconstruction corresponding to contours of the object and registering the segmented objects to 3D models of the objects to determine their alignment.

    SYSTEM AND METHOD FOR CREATING AND INTERACTING WITH A SURFACE DISPLAY
    15.
    发明申请
    SYSTEM AND METHOD FOR CREATING AND INTERACTING WITH A SURFACE DISPLAY 审中-公开
    用于创建和交互表面显示的系统和方法

    公开(公告)号：US20150058782A1

    公开(公告)日：2015-02-26

    申请号：US13972621

    申请日：2013-08-21

    Applicant: INTEL CORPORATION

    Inventor： Gershom Kutliroff ,  Maoz Madmoni

    IPC: G06F3/0488 ,  G06F3/0481 ,  G06F3/0484

    CPC classification number: G06F3/04815 ,  G06F3/011 ,  G06F3/017 ,  G06F3/0304 ,  G06F3/0426 ,  G06K9/00375

    Abstract: Systems and methods for projecting graphics onto an available surface, tracking a user's interactions with the projected graphics, and providing feedback to the user regarding the tracked interactions are described. In some embodiments, the feedback is provided via updated projected graphics onto the surface. In some embodiments, the feedback is provided via an electronic screen.

    Abstract translation: 描述用于将图形投影到可用表面上的系统和方法，跟踪用户与投影图形的交互以及向用户提供有关跟踪的交互的反馈。 在一些实施例中，反馈通过更新的投影图形提供到表面上。 在一些实施例中，经由电子屏幕提供反馈。

    System for building a map and subsequent localization
    16.
    发明授权
    System for building a map and subsequent localization 有权

    公开(公告)号：US10719759B2

    公开(公告)日：2020-07-21

    申请号：US16110212

    申请日：2018-08-23

    Applicant: INTEL CORPORATION

    Inventor： Gershom Kutliroff

    IPC: G06N3/04 ,  G05D1/02 ,  G06T7/73 ,  G06K9/62 ,  G06K9/00 ,  G06N3/08

    Abstract: SLAM systems are provided that utilize an artificial neural network to both map environments and locate positions within the environments. In some example embodiments, a sensor arrangement is used to map an environment. The sensor arrangement acquires sensor data from the various sensors and associates the sensor data, or data derived from the sensor data, with spatial regions in the environment. The sensor data may include image data and inertial measurement data that effectively describes the visual appearance of a spatial region at a particular location and orientation. This diverse sensor data may be fused into camera poses. The map of the environment includes camera poses organized by spatial region within the environment. Further, in these examples, an artificial neural network is adapted to the features of the environment by a transfer learning process using image data associated with camera poses.

    Three dimensional scene reconstruction based on contextual analysis
    17.
    发明授权
    Three dimensional scene reconstruction based on contextual analysis 有权

    公开(公告)号：US10573018B2

    公开(公告)日：2020-02-25

    申请号：US15209014

    申请日：2016-07-13

    Applicant: INTEL CORPORATION

    Inventor： Gershom Kutliroff ,  Shahar Fleishman ,  Mark Kliger

    IPC: G06T7/60 ,  G06T17/00 ,  G06T9/00 ,  H04N13/128 ,  H04N13/257 ,  G06T11/60 ,  G06T7/33 ,  G06T7/90 ,  G06T7/50 ,  G06K9/00 ,  H04N13/271 ,  H04N13/111

    Abstract: Techniques are provided for context-based 3D scene reconstruction employing fusion of multiple instances of an object within the scene. A methodology implementing the techniques according to an embodiment includes receiving 3D image frames of the scene, each frame associated with a pose of a depth camera, and creating a 3D reconstruction of the scene based on depth pixels that are projected and accumulated into a global coordinate system. The method may also include detecting objects, based on the 3D reconstruction, the camera pose and the image frames. The method may further include classifying the detected objects into one or more object classes; grouping two or more instances of objects in one of the object classes based on a measure of similarity of features between the object instances; and combining point clouds associated with each of the grouped object instances to generate a fused object.

    RECOGNITION-BASED OBJECT SEGMENTATION OF A 3-DIMENSIONAL IMAGE
    18.
    发明申请
    RECOGNITION-BASED OBJECT SEGMENTATION OF A 3-DIMENSIONAL IMAGE 审中-公开

    公开(公告)号：US20170228940A1

    公开(公告)日：2017-08-10

    申请号：US15019011

    申请日：2016-02-09

    Applicant: INTEL CORPORATION

    Inventor： Gershom Kutliroff

    IPC: G06T19/20 ,  G06T7/00

    CPC classification number: G06T19/20 ,  G06K9/00624 ,  G06T7/12 ,  G06T2207/10028 ,  G06T2219/2008

    Abstract: Techniques are provided for segmentation of objects in a 3D image of a scene. An example method may include receiving, 3D image frames of a scene. Each of the frames is associated with a pose of a depth camera that generated the 3D image frames. The method may also include detecting the objects in each of the frames based on object recognition; associating a label with the detected object; calculating a 2D bounding box around the object; and calculating a 3D location of the center of the bounding box. The method may further include matching the detected object to an existing object boundary set, created from a previously received image frame, based on the label and the location of the center of the bounding box, or, if the match fails, creating a new object boundary set associated with the detected object.

    3-dimensional scene analysis for augmented reality operations
    20.
    发明授权
    3-dimensional scene analysis for augmented reality operations 有权

    公开(公告)号：US10229542B2

    公开(公告)日：2019-03-12

    申请号：US15046614

    申请日：2016-02-18

    Applicant: INTEL CORPORATION

    Inventor： Gershom Kutliroff ,  Yaron Yanai ,  Shahar Fleishman ,  Mark Kliger

    IPC: G06K9/00 ,  G06T19/00 ,  G06T7/10

    Abstract: Techniques are provided for 3D analysis of a scene including detection, segmentation and registration of objects within the scene. The analysis results may be used to implement augmented reality operations including removal and insertion of objects and the generation of blueprints. An example method may include receiving 3D image frames of the scene, each frame associated with a pose of a depth camera, and creating a 3D reconstruction of the scene based on depth pixels that are projected and accumulated into a global coordinate system. The method may also include detecting objects, and associated locations within the scene, based on the 3D reconstruction, the camera pose and the image frames. The method may further include segmenting the detected objects into points of the 3D reconstruction corresponding to contours of the object and registering the segmented objects to 3D models of the objects to determine their alignment.

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