Abstract: The present invention relates to a tetracyclic derivative, a method for preparing same and the use thereof in medicine. In particular, the present invention relates to a tetracyclic derivative represented by general formula (I), a method for preparing same and a pharmaceutically acceptable salt thereof, and the use thereof as a therapeutic agent, especially as a K-Ras GTPase inhibitor, with definitions of each substituent in general formula (I) being the same as of which are defined in the description.

Abstract: Provided are a macrolide derivative represented by formula (I), a preparation method thereof, and an application of the macrolide derivative as an inhibitor of one or more protein kinases of TRK, ALK and ROS1,

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A user management method and apparatus are provided. The user management method includes verifying whether a user included in an input image is a registered user based on a first classification model classifying the registered user; storing a feature corresponding to the user and extracted from the input image in a database in response to the user not being the registered user; generating a second classification model classifying the registered user and a candidate user corresponding to one of features stored in the database; and determining whether the candidate user is to be registered based on the second classification model.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A three-dimensional (3D) image photographing apparatus includes a photographing unit configured to photograph a first photo, and capture an image after the first photo is photographed; a feature extracting unit configured to extract feature points from the first photo and the image, and match the feature points extracted from the first photo to the feature points extracted from the image; a position and gesture estimating unit configured to determine a relationship between a position and a gesture of the 3D image photographing apparatus when the first photo is photographed, and a position and a gesture of the 3D image photographing apparatus when the image is captured, based on the matched feature points, the photographing unit configured to photograph the image as a second photo in response to the relationship satisfying a predetermined condition; and a synthesizing unit configured to synthesize the first and second photos to a 3D image.

Abstract: 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.