公开(公告)号：US12112569B2

公开(公告)日：2024-10-08

申请号：US17455883

申请日：2021-11-19

Applicant: QUALCOMM Incorporated

Inventor： Upal Mahbub ,  Rakesh Nattoji Rajaram ,  Vasudev Bhaskaran

IPC: G06V40/16 ,  G06N3/045 ,  G06T5/92 ,  G06T7/11 ,  G06V40/10

CPC classification number: G06V40/171 ,  G06N3/045 ,  G06T5/92 ,  G06T7/11 ,  G06V40/103

Abstract: Embodiments include systems and methods that may be performed by a processor of a computing device. Embodiments may be applied for keypoint detection in an image. In embodiments, the processor of the computing device may apply to an image a first-stage neural network to define and output a plurality of regions, apply to each of the plurality of regions a respective second-stage neural network to output a plurality of keypoints in each of the plurality of regions, and apply to the plurality of keypoints a third-stage neural network to determine a correction for each of the plurality of keypoints to provide corrected keypoints.

公开(公告)号：US11710344B2

公开(公告)日：2023-07-25

申请号：US16859836

申请日：2020-04-27

Applicant: QUALCOMM Incorporated

Inventor： Upal Mahbub ,  Rakesh Nattoji Rajaram ,  Vasudev Bhaskaran

IPC: G06N3/08 ,  G06V10/75 ,  G06V40/16 ,  G06V10/764 ,  G06V10/82 ,  G06V10/44 ,  G06V10/28

CPC classification number: G06V40/168 ,  G06N3/08 ,  G06V10/28 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82

Abstract: A method is presented. The method includes determining a number of landmarks in an image comprising multiple pixels. The method also includes determining a number of channels for the image based on a function of the number of landmarks. The method further includes determining, for each one of the number of channels, a confidence of each pixel of the multiple pixels corresponding to a landmark. The method still further includes identifying the landmark in the image based on the confidence.

公开(公告)号：US09761000B2

公开(公告)日：2017-09-12

申请号：US14858471

申请日：2015-09-18

Applicant: QUALCOMM Incorporated

Inventor： Gokce Dane ,  Vasudev Bhaskaran

IPC: G06K9/00 ,  G06T7/00 ,  G06K9/62

CPC classification number: G06T7/20 ,  G06K9/00791 ,  G06K9/00798 ,  G06K9/6292 ,  G06T7/11 ,  G06T7/50 ,  G06T7/507 ,  G06T2207/10028 ,  G06T2207/30256

Abstract: A method performed by an electronic device is described. The method includes performing vertical processing of a depth map to determine a vertical non-obstacle estimation. The method also includes performing horizontal processing of the depth map to determine a horizontal non-obstacle estimation. The method further includes combining the vertical non-obstacle estimation and the horizontal non-obstacle estimation. The method additionally includes generating a non-obstacle map based on the combination of the vertical and horizontal non-obstacle estimations.

公开(公告)号：US09374506B2

公开(公告)日：2016-06-21

申请号：US13734595

申请日：2013-01-04

Applicant: Qualcomm Incorporated

Inventor： Mainak Biswas ,  Vasudev Bhaskaran ,  Sujith Srinivasan ,  Shilpi Sahu

IPC: H04N5/14 ,  G06T5/00 ,  G06T5/20 ,  G06T5/50 ,  G06T7/20

CPC classification number: H04N5/144 ,  G06T5/002 ,  G06T5/20 ,  G06T5/50 ,  G06T7/254 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20012 ,  G06T2207/20182 ,  G06T2207/20192 ,  G06T2207/20221 ,  G06T2207/20224

Abstract: Method and apparatus for reducing random noise in digital video streams are described. In one innovative aspect, the device includes a noise estimator. The device also includes a motion detector configured to determine a motion value indicative of motion between two frames of the video stream, the motion value based at least in part on the noise value. The device further includes a spatial noise reducer configured to filter the image data based at least in part on a blending factor and the noise value. The device also includes a temporal noise reducer configured to filter the video data based on the motion value and the noise value. The device also includes a blender configured to blend the spatial and temporal filtered values to provide a weighted composite filtered output image.

Abstract translation: 描述了用于减少数字视频流中随机噪声的方法和装置。 在一个创新方面，该装置包括噪声估计器。 该装置还包括运动检测器，其被配置为至少部分地基于噪声值来确定指示视频流的两个帧之间的运动的运动值，运动值。 该装置还包括空间噪声减少器，其被配置为至少部分地基于混合因子和噪声值来对图像数据进行滤波。 该装置还包括：时间噪声降低器，被配置为基于运动值和噪声值对视频数据进行滤波。 该装置还包括配置成混合空间和时间滤波值以提供加权复合滤波输出图像的混合器。

公开(公告)号：US20140192267A1

公开(公告)日：2014-07-10

申请号：US13734595

申请日：2013-01-04

Applicant: QUALCOMM INCORPORATED

Inventor： Mainak Biswas ,  Vasudev Bhaskaran ,  Sujith Srinivasan ,  Shilpi Sahu

IPC: H04N5/14

CPC classification number: H04N5/144 ,  G06T5/002 ,  G06T5/20 ,  G06T5/50 ,  G06T7/254 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20012 ,  G06T2207/20182 ,  G06T2207/20192 ,  G06T2207/20221 ,  G06T2207/20224

Abstract: Method and apparatus for reducing random noise in digital video streams are described. In one innovative aspect, the device includes a noise estimator. The device also includes a motion detector configured to determine a motion value indicative of motion between two frames of the video stream, the motion value based at least in part on the noise value. The device further includes a spatial noise reducer configured to filter the image data based at least in part on a blending factor and the noise value. The device also includes a temporal noise reducer configured to filter the video data based on the motion value and the noise value. The device also includes a blender configured to blend the spatial and temporal filtered values to provide a weighted composite filtered output image.

Abstract translation: 描述了用于减少数字视频流中随机噪声的方法和装置。 在一个创新方面，该装置包括噪声估计器。 该装置还包括运动检测器，其被配置为至少部分地基于噪声值来确定指示视频流的两个帧之间的运动的运动值，运动值。 该装置还包括空间噪声减少器，其被配置为至少部分地基于混合因子和噪声值来对图像数据进行滤波。 该装置还包括：时间噪声降低器，被配置为基于运动值和噪声值对视频数据进行滤波。 该装置还包括配置成混合空间和时间滤波值以提供加权复合滤波输出图像的混合器。