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公开(公告)号:US20160247308A1
公开(公告)日:2016-08-25
申请号:US14763773
申请日:2014-09-24
Applicant: INTEL CORPORATION
Inventor: Shaohui Jiao , Xiaofeng Tong , Qiang Li , Wenlong Li
CPC classification number: G06T13/40 , G06T1/20 , G06T15/005 , G06T15/503 , G06T15/80
Abstract: Apparatuses, methods and storage medium associated with animating and rendering an avatar are disclosed herein. In embodiments, the apparatus may comprise an avatar animation engine to receive a plurality of fur shell texture data maps associated with a furry avatar, and drive an avatar model to animate the furry avatar, using the plurality of fur shell texture data maps. The plurality of fur shell texture data maps may be generated through sampling of fur strands across a plurality of horizontal planes. Other embodiments may be described and/or claimed.
Abstract translation: 本文公开了与动画和呈现化身相关联的装置,方法和存储介质。 在实施例中,该装置可以包括头像动画引擎,用于接收与毛茸茸化身相关联的多个毛皮外壳纹理数据图,并且使用多个皮草外壳纹理数据图来驱动化身模型以使毛茸茸的头像动画化。 可以通过跨越多个水平面的毛线进行抽样来生成多个皮壳结构数据图。 可以描述和/或要求保护其他实施例。
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公开(公告)号:US09317768B2
公开(公告)日:2016-04-19
申请号:US13625962
申请日:2012-09-25
Applicant: Intel Corporation
IPC: G06K9/46
CPC classification number: G06K9/46
Abstract: Techniques for improved feature detection are described. In one embodiment, for example, a device may include a processor circuit and a feature detection module, and the feature detection module may be operative on the processor circuit to perform a first feature detection iteration for a graphics information element using an integral pixel value array, determine a scaling factor, recalculate the integral pixel value array based on the scaling factor, and perform a second feature detection iteration for the graphics information element using the recalculated integral pixel value array. Other embodiments are described and claimed.
Abstract translation: 描述了用于改进特征检测的技术。 在一个实施例中,例如,设备可以包括处理器电路和特征检测模块,并且特征检测模块可以在处理器电路上操作,以使用积分像素值阵列来执行图形信息元素的第一特征检测迭代 确定缩放因子,基于缩放因子重新计算积分像素值阵列,并且使用重新计算的积分像素值阵列对图形信息元素执行第二特征检测迭代。 描述和要求保护其他实施例。
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33.
公开(公告)号:US20150348266A1
公开(公告)日:2015-12-03
申请号:US14732053
申请日:2015-06-05
Applicant: Intel Corporation
Inventor: Jianguo Li , Ying Zheng , Qiang Li , Yurong Chen
CPC classification number: G06T7/593 , G06T1/20 , G06T7/32 , G06T7/62 , G06T2207/10012 , H04N13/106
Abstract: Stereo image reconstruction techniques are described. An image from a root viewpoint is translated to an image from another viewpoint. Homography fitting is used to translate the image between viewpoints. Inverse compositional image alignment is used to determine a homography matrix and determine a pixel in the translated image.
Abstract translation: 描述立体图像重建技术。 从根视角的图像从另一个角度转换为图像。 同位素拟合用于在视点之间翻译图像。 使用反向组合图像对准来确定单应性矩阵并确定翻译图像中的像素。
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公开(公告)号:US11915450B2
公开(公告)日:2024-02-27
申请号:US17396633
申请日:2021-08-06
Applicant: Intel Corporation
Inventor: Yiwei He , Ming Lu , Haihua Lin , Liwei Liao , Jiansheng Chen , Xiaofeng Tong , Qiang Li , Wenlong Li
IPC: G06T7/73 , G06T15/20 , G06T7/292 , G06V10/44 , G06V20/40 , G06V20/64 , G06V40/10 , G06F18/214 , G06V30/10
CPC classification number: G06T7/75 , G06F18/2148 , G06T7/292 , G06T15/205 , G06V10/457 , G06V20/42 , G06V20/64 , G06V40/103 , G06T2207/30224 , G06V30/10
Abstract: Embodiments are generally directed to methods and apparatuses for determining a frontal body orientation. An embodiment of a method for determining a three-dimensional (3D) orientation of frontal body of a player comprises: detecting each of a plurality of players in each of a plurality of frames captured by a plurality of cameras; for each of the plurality of cameras, tracking each of the plurality of players between continuous frames captured by the camera; and associating the plurality of frames captured by the plurality of cameras to generate the 3D orientation of each of the plurality of players.
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公开(公告)号:US20240005701A1
公开(公告)日:2024-01-04
申请号:US18254818
申请日:2021-09-23
Applicant: Intel Corporation
Inventor: Chenning Liu , Qiang Li , Wenlong Li , Yikai Fang , Hang Zheng , Jiansheng Chen
IPC: G06V40/20 , G06V10/82 , G06V10/764
CPC classification number: G06V40/23 , G06V10/764 , G06V10/82
Abstract: An example apparatus includes processor circuitry to extract features from image data obtained from a plurality of cameras, the extraction of features performed using a plurality of sequential neural network layers; in response to each of the plurality of sequential neural network layer extracting the features, identify the extracted features in a torso region of the image data via a plurality of attention modules; estimate body landmarks from image data to localize an area; generate an upper heatmap mask based on a geometric center of the image data; calculate a loss function for the image data based on a cross-entropy loss, a pixel-wise loss, and a triplet loss determined from the extracted features and the generated heatmap mask; select lowest correlated classes based on calculated correlations between pairs of a plurality of classes; and calculate voting scores for groups associated with the lowest correlated classes.
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公开(公告)号:US20220292825A1
公开(公告)日:2022-09-15
申请号:US17626994
申请日:2019-08-13
Applicant: Intel Corporation
Inventor: Yikai Fang , Qiang Li , Wenlong Li , Haihua Lin , Chen Ling , Ming Lu , Hongzhi Tao , Xiaofeng Tong , Yumeng Wang
Abstract: Methods, systems and apparatuses may provide for technology that selects a player from a plurality of players based on an automated analysis of two-dimensional (2D) video data associated with a plurality of cameras, wherein the selected player is nearest to a projectile depicted in the 2D video data. The technology may also track a location of the selected player over a subsequent plurality of frames in the 2D video data and estimate a location of the projectile based on the location of the selected player over the subsequent plurality of frames.
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公开(公告)号:US20220262142A1
公开(公告)日:2022-08-18
申请号:US17627631
申请日:2019-08-14
Applicant: Intel Corporation
Inventor: Qiang Li , Yikai Fang , Wenlong Li , Chen Ling , Ofer Shkedi , Xiaofeng Tong
Abstract: Methods, systems and apparatuses may provide for technology that obtains multi-camera video data including a first 2D image corresponding to a first camera and a second 2D image corresponding to a second camera. The technology may also identify an association between a first instance of a 3D object in the first 2D image and a second instance of the 3D object in the second 2D image, and automatically generate a 3D bounding box around the 3D object based on the association between the first instance and the second instance.
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公开(公告)号:US20220184481A1
公开(公告)日:2022-06-16
申请号:US17438393
申请日:2019-07-31
Applicant: Intel Corporation
Inventor: Xiaofeng Tong , Qiang Li , Wenlong Li , Haihua Lin , Ming Lu
Abstract: An example system for game status detection and trajectory fusion is described herein. The system includes a tracker to obtain a ball position and a player position based on images from a plurality of cameras and a fusion controller to combine multiple trajectories that are detected via the ball position to obtain a fused trajectory. The system also includes a finite state machine configured to model a game pattern, wherein a game status is determined via the ball position, the player position and the fused trajectory as input to the finite state machine.
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公开(公告)号:US20220180649A1
公开(公告)日:2022-06-09
申请号:US17438348
申请日:2019-07-31
Applicant: Intel Corporation
Inventor: Qiang Li , Wenlong Li , Chen Ling , Hang Zheng
Abstract: A method is described herein. The method includes the designation of a player as a profile player or a non-profile player in each camera view. In response to the player being a non-profile player, the method includes extracting features from the detected player within the bounding box and classifying the features according to a label. In response to the player being a non-profile player, the method also includes selecting a label with a highest number of votes according to a voting policy as a final label.
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公开(公告)号:US20220076447A1
公开(公告)日:2022-03-10
申请号:US17396633
申请日:2021-08-06
Applicant: Intel Corporation
Inventor: Yiwei He , Ming Lu , Haihua Lin , Liwei Liao , Jiansheng Chen , Xiaofeng Tong , Qiang Li , Wenlong Li
Abstract: Embodiments are generally directed to methods and apparatuses for determining a frontal body orientation. An embodiment of a method for determining a three-dimensional (3D) orientation of frontal body of a player comprises: detecting each of a plurality of players in each of a plurality of frames captured by a plurality of cameras; for each of the plurality of cameras, tracking each of the plurality of players between continuous frames captured by the camera; and associating the plurality of frames captured by the plurality of cameras to generate the 3D orientation of each of the plurality of players.
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