公开(公告)号：US20240193981A1

公开(公告)日：2024-06-13

申请号：US18064519

申请日：2022-12-12

Applicant: Intel Corporation

Inventor： David Pearce ,  David Stanhill

IPC: G06V40/10 ,  G06V10/82 ,  G06V40/60

CPC classification number: G06V40/103 ,  G06V10/82 ,  G06V40/60

Abstract: A user computing device includes a camera sensor and a depth sensor. Image data generated by the camera captures an image of a user of the user computing device and is provided as an input to a first machine learning model trained to determine a feature set associated with posture of the user from the image data. Depth data generated by the depth sensor contemporaneously with generation of the image data is provided as input to a second machine learning model along with the first feature set to generate a second feature set as an output of the second machine learning model based on the depth data and the first feature set. The posture of the user is determined from the second feature set to provide feedback to the user.

公开(公告)号：US09589359B2

公开(公告)日：2017-03-07

申请号：US14260783

申请日：2014-04-24

Applicant: Intel Corporation

Inventor： Ziv Aviv ,  David Stanhill ,  Dror Reif ,  Roi Ziss ,  Jeffrey Danowitz ,  Ehud Pertzov

IPC: G01C3/08 ,  G06T7/00

CPC classification number: G06T7/521 ,  G06T7/593 ,  G06T2207/10012 ,  G06T2207/10048

Abstract: An apparatus, system, and method are described herein. The apparatus includes an emitter and a plurality of sensors. The emitter and the sensors are asymmetrically placed in the system with respect to the emitter. Data from the emitter and sensors is used to generate a high accuracy depth map and a dense depth map. A high resolution and dense depth map is calculated using the high accuracy depth map and the dense depth map.

Abstract translation: 这里描述了一种装置，系统和方法。 该装置包括发射器和多个传感器。 发射器和传感器相对于发射器不对称地放置在系统中。 来自发射器和传感器的数据用于生成高精度的深度图和密集的深度图。 使用高精度深度图和密集深度图计算高分辨率和密集深度图。

公开(公告)号：US09247225B2

公开(公告)日：2016-01-26

申请号：US13626161

申请日：2012-09-25

Applicant: Intel Corporation

Inventor： Raanan Yehezkel ,  David Stanhill

IPC: H04N9/80 ,  H04N9/82 ,  G11B27/10 ,  H04N21/25 ,  H04N21/258 ,  H04N21/266 ,  H04N21/278 ,  H04N21/442 ,  H04N21/845 ,  H04N21/8549 ,  G06F17/30

CPC classification number: H04N9/8205 ,  G06F17/30817 ,  G11B27/105 ,  H04N21/251 ,  H04N21/25891 ,  H04N21/26603 ,  H04N21/278 ,  H04N21/44218 ,  H04N21/8456 ,  H04N21/8549

Abstract: Generally, this disclosure provides methods and systems for video indexing systems with viewer reaction estimation based on visual cue detection. The method may include detecting visual cues generated by a user, the visual cues generated in response to the user viewing the video; mapping the visual cues to an emotion space associated with the user; estimating emotion events of the user based on the mapping; and indexing the video with metadata, the metadata comprising the estimated emotion events and timing data associated with the estimated emotion events. The method may further include summarization, partitioning and searching of videos based on the video index.

Abstract translation: 通常，本公开提供了基于视觉提示检测的具有观看者反应估计的视频索引系统的方法和系统。 该方法可以包括检测由用户生成的视觉提示，响应于用户观看视频而产生的视觉提示; 将视觉提示映射到与用户相关联的情感空间; 基于映射估计用户的情绪事件; 并且利用元数据对视频进行索引，元数据包括估计的情绪事件和与估计的情绪事件相关联的定时数据。 该方法还可以包括基于视频索引的视频的总结，分割和搜索。

公开(公告)号：US09036047B2

公开(公告)日：2015-05-19

申请号：US13797898

申请日：2013-03-12

Applicant: Intel Corporation

Inventor： Jeffrey Danowitz ,  Sarit Shwartz ,  Ziv Aviv ,  David Stanhill

IPC: H04N9/73 ,  H04N5/235

CPC classification number: H04N5/235 ,  H04N5/23229 ,  H04N9/735

Abstract: An apparatus may include an image sensor that contains a multiplicity of pixel elements to detect one or more images and a processor circuit coupled to the image sensor. The apparatus may include a white balance module for execution on the processor circuit to receive, based upon a detected image of the one or more images, for a plurality of pixel elements of the multiplicity of pixel elements, three of more gray level values for a respective three or more color channels, to determine grayness likelihood functions for the respective three or more color channels, the three or more grayness likelihood functions comprising a proportional contribution to grey pixels of the detected image from one or more gray levels for each respective color channel, and to determine a white balance gain for two or more color channels based upon the determined grayness likelihood functions. Other embodiments are described and claimed.

Abstract translation: 装置可以包括图像传感器，其包含用于检测一个或多个图像的多个像素元件和耦合到图像传感器的处理器电路。 该装置可以包括用于在处理器电路上执行的白平衡模块，用于基于对于多个像素元素的多个像素元素的一个或多个图像的检测图像来接收三个以上的灰度级值 相应的三个或更多个颜色通道，以确定相应的三个或更多个颜色通道的灰度似然函数，所述三个或更多个灰度似然函数包括对于每个相应颜色通道的来自一个或多个灰度级的检测图像的灰度像素的比例贡献 并且基于所确定的灰度似然函数来确定两个或更多个颜色通道的白平衡增益。 描述和要求保护其他实施例。

公开(公告)号：US20170345165A1

公开(公告)日：2017-11-30

申请号：US15166595

申请日：2016-05-27

Applicant: Intel Corporation

Inventor： David Stanhill ,  Ziv Aviv

IPC: G06T7/269 ,  G06T7/50 ,  G06T7/55

CPC classification number: G06T7/269 ,  G06K9/00201 ,  G06K9/03 ,  G06K9/3233 ,  G06T7/11 ,  G06T7/50 ,  G06T7/55 ,  G06T2207/10028

Abstract: A three-dimensional depiction of an object to be tracked may be tracked using a depth sensing camera. An indication of the object's movement is developed. Also, an amount of pixels in the depiction that are not part of the object is estimated. Then the indication is corrected based on said amount of pixels that are not part of the object.