Samsung Electronics Co., Ltd.

Usens, Inc.

Wentao Mao

Gengyu Ma

Keun Woo Park

Kyoobin Lee

Shandong Wang

Eric Hyunsurk Ryu

Yue Fei

Ping Guo

Xiaotao Wang

Guangqi Shao

Qiang Wang

Qing Fa Wang

Young Su Moon

Ji Yeun Kim

Anli He

Jung Uk Cho

Xu Zhang

Wenjie Mou

Yu Gao

Eunseok Park

A system for hand tracking may comprise a head mounted display wearable by a user and a hand tracking camera module attached to the head mounted display and comprising at least one of a pair of stereo cameras or a depth camera. The hand tracking camera module may be configured to capture images of at least one physical hand of the user. The head mounted display may be configured to render a virtual hand resembling the physical hand in a virtual environment for viewing by the user based at least on the images.

Methods and systems for hand tracking

A tracking system is disclosed. The system may comprise a processor and a non-transitory computer-readable storage medium coupled to the processor and storing instructions that, when executed by the processor, cause the system to perform a method. The method may comprise training a detection model and an extraction model, capturing one or more images of at least a portion of an object, detecting the portion of the object in each of the one or more images through the trained detection model, tracking the detected portion of the object in real-time, obtaining 2D positions of one or more locations on the tracked portion of the object through the trained extraction model, and obtaining 3D positions of the one or more locations on the tracked portion of the object based at least in part on the obtained 2D positions.

Method and system for 3D hand skeleton tracking

An object recognition apparatus and an object recognition method are provided. The object recognition method includes generating an input image based on an event flow of an object, generating a composite feature based on features extracted by a plurality of recognizers, and recognizing the object based on the composite feature.

Object recognition method and apparatus

A method and apparatus for detecting an object using an event-based sensor is provided. An object detection method includes determining a feature vector based on target pixels and neighbor pixels included in an event image, and determining a target object corresponding to the target pixels based on the feature vector.

Method and apparatus of detecting object using event-based sensor

Provided are an apparatus and method for generating an image with a defocused background. According to various aspects, a preview image is used as the basis for extracting a background distribution and a defocused background is generated based on the extracted background distribution. Accordingly, it is not necessary to photograph two or more images to generate a defocused background effect.

Apparatus for generating an image with defocused background and method thereof

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Beijing, China

Wentao Mao