Abstract: A method and apparatus with pose determination are provided. The method includes determining first pose information of a computing apparatus dependent on motion sensor information of motion of the computing apparatus, estimating second pose information of the computing apparatus dependent on feature point position information that is pre-defined for an object, and one or more feature points of the object that are extracted from an image captured by the computing apparatus, determining respective reliability values of the first pose information and the second pose information, and determining a pose of the computing apparatus for augmented reality (AR) content based on the first pose information, the second pose information, and the respective reliability values. AR content may be generated based on the determined pose.

Abstract: A simultaneous localization and mapping-based electronic device includes: a data acquisition device configured to acquire external data; a memory; and a processor configured to be operatively connected to the data acquisition device and the memory, wherein the processor is further configured to extract features of surrounding objects from the acquired external data, calculate a score of a registration error of the extracted features when the number of the extracted features is greater than a set number stored in the memory, and select the set number of features from the among the extracted features, based on the calculated score.

Abstract: A method of generating augmented reality includes obtaining external data, obtaining current pose data corresponding to a position of an augmented reality device, through edge computing, based on the obtained external data, obtaining first future pose data and second future pose data corresponding to movement of the augmented reality device, based on the obtained current pose data, generating a virtual image through the edge computing, based on the obtained first future pose data, and generating a virtual video, based on the obtained second future pose data and the generated virtual image.

Abstract: An electronic device includes a memory storing a plurality of motion prediction models, and a processor configured to estimate a current pose of the electronic device based on external data; predict a first motion of the electronic device at a future first prediction time through a first model in which the plurality of motion prediction models are combined for the future first prediction time, and calculate a first pose of the electronic device at the first prediction time based on the current pose and the first motion; and predict a second motion of the electronic device at a future second prediction time through a second model in which the plurality of motion prediction models are combined for the future second prediction time, and calculate a second pose of the electronic device at the second prediction time based on the first pose and the second motion.

Abstract: A simultaneous localization and mapping-based electronic device includes: a data acquisition device configured to acquire external data; a memory; and a processor configured to be operatively connected to the data acquisition device and the memory, wherein the processor is further configured to extract features of surrounding objects from the acquired external data, calculate a score of a registration error of the extracted features when the number of the extracted features is greater than a set number stored in the memory, and select the set number of features from the among the extracted features, based on the calculated score.

Abstract: An apparatus for estimating an uncertainty includes a processor configured to receive a first tracking coordinate corresponding to a reference coordinate, the reference coordinate being included in first image data acquired by a camera sensor, image data acquired after the first image data; acquire, based on motion data acquired from a motion sensor and a depth value of the first image data, a second tracking coordinate corresponding to the reference coordinate, the second tracking coordinate including a motion-based tracking coordinate in the second image data; calculate a target coordinate distribution in the second image data based on the first tracking coordinate and the second tracking coordinate; acquire an estimated target coordinate and an uncertainty of the estimated target coordinate based on the calculated target coordinate distribution; and update the first tracking coordinate based on the estimated target coordinate.

Abstract: A processor-implemented method with pose estimation includes: tracking a position of a feature point extracted from image information comprising a plurality of image frames, the image information being received from an image sensor; predicting a current state variable of an estimation model for determining a pose of an electronic device, based on motion information received from a motion sensor; determining noise due to an uncertainty of the estimation model based on a residual between a first position of the feature point extracted from the image frames and a second position of the feature point predicted based on the current state variable; updating the current state variable based on the current state variable, the tracked position of the feature point, and the noise; and determining the pose of the electronic device based on the updated current state variable.

Abstract: A method of estimating a position of an image display device, the method including determining position information of a neck of a user based on position information of an image display device worn by the user, filtering the position information of the neck, and estimating a position of the image display device based on the filtered position information of the neck.

Abstract: A method and apparatus with pose determination are provided. The method includes determining first pose information of a computing apparatus dependent on motion sensor information of motion of the computing apparatus, estimating second pose information of the computing apparatus dependent on feature point position information that is pre-defined for an object, and one or more feature points of the object that are extracted from an image captured by the computing apparatus, determining respective reliability values of the first pose information and the second pose information, and determining a pose of the computing apparatus for augmented reality (AR) content based on the first pose information, the second pose information, and the respective reliability values. AR content may be generated based on the determined pose.

Abstract: A processor-implemented pose prediction method includes: estimating a pose of a user for a predetermined period of time in real time; calculating an estimation confidence of the estimated pose; determining a weight for the pose of the user based on the estimated pose and the estimation confidence; and predicting a pose of the user after the predetermined period of time, based on the weight.

Abstract: A method of estimating a position of an image display device, the method including determining position information of a neck of a user based on position information of an image display device worn by the user, filtering the position information of the neck, and estimating a position of the image display device based on the filtered position information of the neck.

Abstract: A method of generating augmented reality includes obtaining external data, obtaining current pose data corresponding to a position of an augmented reality device, through edge computing, based on the obtained external data, obtaining first future pose data and second future pose data corresponding to movement of the augmented reality device, based on the obtained current pose data, generating a virtual image through the edge computing, based on the obtained first future pose data, and generating a virtual video, based on the obtained second future pose data and the generated virtual image.