Samsung Electronics Co., Ltd.

Yuguang Li

Zhuo Li

Liu Yang

Chuangqi Tang

Huiguang Yang

Jian Zhao

Manjun Yan

Jiguang Xue

Xiongzhan Linghu

A pose tracking method and apparatus are disclosed. The pose tracking method includes obtaining an image of a trackable target having a plurality of markers, detecting first points in the obtained image to which the markers are projected, matching the first points and second points corresponding to positions of the markers in a coordinate system set based on the trackable target based on rotation information of the trackable target, and estimating a pose of the trackable target based on matching pairs of the first points and the second points.

Method and apparatus with pose tracking

A pose estimation method includes obtains an event stream from an event-based vision sensor configured to capture a target object to which light-emitting devices flickering at a predetermined first frequency are attached, obtains a polarity change period of at least one pixel based on the event stream, generates an image frame sequence using at least one target pixel having a polarity change period corresponding to the first frequency, among the at least one pixel, extracts a feature sequence including feature vectors corresponding to the at least one target pixel, from the image frame sequence, and estimates a pose sequence of the target object by applying the feature sequence to a deep neural network (DNN) model.

Pose estimation method, pose estimation apparatus, and training method for pose estimation

A method and apparatus for processing sparse points. The method includes determining spatial hierarchical point data based on a key point set and a local point set of a sparse point set, determining relationship feature data by encoding a spatial hierarchical relationship between points of the spatial hierarchical point data, generating a global feature and a local feature of the sparse point set through a conversion operation associated with the relationship feature data, and generating a processing result for the sparse point set based on the global feature and the local feature.

Method and apparatus for processing sparse points

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Xi'an, China

Yuguang Li