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公开(公告)号：US11636618B2
公开(公告)日：2023-04-25
申请号：US17093944
申请日：2020-11-10
Applicant: Samsung Electronics Co., Ltd.
Inventor： Tianhao Gao , Xiaolong Shi , Xiongfeng Peng , Kuan Ma , Hongseok Lee , Myungjae Jeon , Qiang Wang , Yuntae Kim , Zhihua Liu
Abstract: A simultaneous localization and mapping device is provided. The device includes an image obtaining device configured to capture color images and depth images of a surrounding environment; an initial pose estimating device configured to estimate an initial pose based on the color images and the depth images; a map constructing device configured to construct a three-dimensional map based on the depth images and the color images; and a pose determining device configured to determine a final pose based on the initial pose and the three-dimensional map.
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公开(公告)号：US20220292715A1
公开(公告)日：2022-09-15
申请号：US17690219
申请日：2022-03-09
Applicant: SAMSUNG ELECTRONICS CO.,LTD.
Inventor： Zhihua LIU , Hongseok Lee , Qiang Wang , Yuntae Kim , Kuan Ma
Abstract: The present disclosure relates to the field of artificial intelligence technology, and to a method of estimating a pose of a device and a related device. The method of estimating a pose of a device includes identifying a similar key frame that is similar to a current frame collected by the device from a key frame set, based on a vector distance between the similar key frame and the current frame; obtaining data-related information between image frames based on a feature matching relationship between the current frame and the similar key frame; and obtaining the pose of the device based on the data-related information.
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公开(公告)号：US20220172386A1
公开(公告)日：2022-06-02
申请号：US17536432
申请日：2021-11-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Zhihua LIU , Donghoon Sagong , Hongseok Lee , Qiang Wang , Yuntae Kim , Kuan Ma
Abstract: Provided is a method for simultaneous localization and mapping (SLAM), the method including obtaining a current frame image input through a camera, performing scene recognition on the current frame image to obtain a key frame image having a greatest similarity to the current frame image in a global map, and obtaining a camera pose of the current frame image based on the key frame image.
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公开(公告)号：US11164326B2
公开(公告)日：2021-11-02
申请号：US16714963
申请日：2019-12-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Zhihua Liu , Yun-Tae Kim , Hyong Euk Lee , Lin Ma , Qiang Wang , Yamin Mao , Tianhao Gao
Abstract: Disclosed is a depth map calculation method and apparatus. The depth map calculation method includes calculating a global sparse depth map corresponding to a current frame using frames including the current frame, calculating a local dense depth map corresponding to the current frame using the current frame, extracting a non-static object region from the current frame by masking a static object region, removing the non-static object region from the global sparse depth map, and generating a global dense depth map corresponding to the current frame by merging the non-static object region-removed global sparse depth map and the local dense depth map.
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公开(公告)号：US10341634B2
公开(公告)日：2019-07-02
申请号：US15277572
申请日：2016-09-27
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Ping Guo , Dongqing Zou , Qiang Wang , Baek Hwan Cho , Keun Joo Park
IPC: H04N13/128 , H04N13/122 , H04N13/239 , H04N13/00
Abstract: A method and apparatus for acquiring an image disparity are provided. The method may include acquiring, from dynamic vision sensors, a first image having a first view of an object and a second image having a second view of the object; calculating a cost within a preset disparity range of an event of first image and a corresponding event of the second image; calculating an intermediate disparity of the event of the first image and an intermediate disparity of the event of the second image based on the cost; determining whether the event of the first image is a matched event based on the intermediate disparity of the event of the first image and the intermediate disparity of the event of the second image; and predicting optimal disparities of all events of the first image based on an intermediate disparity of the matched event of the first imaged.
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Patent Agency Ranking
公开(公告)号：US20190065885A1
公开(公告)日：2019-02-28
申请号：US16113409
申请日：2018-08-27
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jia Li , Feng Shi , Weiheng Liu , Dongqing Zou , Qiang Wang , Hyunsurk Ryu , Keun Joo Park , Hyunku Lee
Abstract: An object detection method and a neural network system for object detection are disclosed. The object detection method acquires a current frame of a sequence of frames representing an image sequence, and extracts a feature map of the current frame. The extracted feature map is pooled with information of a pooled feature map of a previous frame to thereby obtain a pooled feature map of the current frame. An object is detected from the pooled feature map of the current frame. A dynamic vision sensor (DVS) may be utilized to provide the sequence of frames. Improved object detection accuracy may be realized, particularly when object movement speed is slow.
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公开(公告)号：US09639915B2
公开(公告)日：2017-05-02
申请号：US13961973
申请日：2013-08-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Kuanhong Xu , Qiang Wang , Ji-yeun Kim , Woo-young Jang
IPC: G06T5/00
CPC classification number: G06T5/00 , G06T5/002 , G06T2207/10101 , G06T2207/20012
Abstract: An image processing method includes configuring a noise reduction filter for each of pixels in an image in accordance with a linear noise model of the image, based on different levels of a noise effect caused to a corresponding pixel, among the pixels, by other pixels, among the pixels and adjacent to the corresponding pixel. The method further includes performing noise reduction filtering on each of the pixels, using the noise reduction filter for each of the pixels, to obtain a noise reduced image.
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公开(公告)号：US12169945B2
公开(公告)日：2024-12-17
申请号：US17690219
申请日：2022-03-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Zhihua Liu , Hongseok Lee , Qiang Wang , Yuntae Kim , Kuan Ma
Abstract: The present disclosure relates to the field of artificial intelligence technology, and to a method of estimating a pose of a device and a related device. The method of estimating a pose of a device includes identifying a similar key frame that is similar to a current frame collected by the device from a key frame set, based on a vector distance between the similar key frame and the current frame; obtaining data-related information between image frames based on a feature matching relationship between the current frame and the similar key frame; and obtaining the pose of the device based on the data-related information.
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公开(公告)号：US11915432B2
公开(公告)日：2024-02-27
申请号：US17146809
申请日：2021-01-12
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jingtao Xu , Jiaqian Yu , Byung In Yoo , Chang Kyu Choi , Hyunjeong Lee , Hangkai Tan , Jaejoon Han , Qiang Wang , Yiwei Chen
IPC: G06T7/246 , G06T7/73 , G06F18/241 , G06V10/25 , G06V10/764 , G06V10/82 , G06V20/64
CPC classification number: G06T7/248 , G06F18/241 , G06T7/73 , G06V10/25 , G06V10/764 , G06V10/82 , G06V20/64
Abstract: Disclosed is a target tracking method and apparatus. The target tracking apparatus includes a processor configured to obtain a first depth feature from a target region image and obtain a second depth feature from a search region image, obtain a global response diagram between the first depth feature and the second depth feature, acquire temporary bounding box information based on the global response diagram, updated the second depth feature based on the temporary bounding box information, obtain local feature blocks based on the first depth feature, obtain a local response diagram based on the local feature blocks and the updated second depth feature, and determine output bounding box information based on the local response diagram.
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30.发明授权公开(公告)号：US11315354B2
公开(公告)日：2022-04-26
申请号：US16718404
申请日：2019-12-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Hao Wang , Yang Liu , Hyong Euk Lee , Seungin Park , Qiang Wang , Yueying Kao , Weiming Li
Abstract: A method and apparatus for controlling an augmented reality (AR) apparatus are provided. The method includes acquiring a video, detecting a human body from the acquired video, performing an action prediction with regard to the detected human body, and controlling the AR apparatus based on a result of the action prediction and a mapping relationship between human body actions and AR functions.
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