PROCESSING FOR MACHINE LEARNING BASED OBJECT DETECTION USING SENSOR DATA

    公开(公告)号:US20240221186A1

    公开(公告)日:2024-07-04

    申请号:US18530660

    申请日:2023-12-06

    IPC分类号: G06T7/246

    摘要: In some aspects, a device may obtain sensor data associated with identifying measured properties of an object in an environment. The device may detect a trigger event associated with at least one of the environment or the device. The device may modify, based on detecting the trigger event, one or more pre-processing operations associated with the sensor data for input to a neural network, and/or one or more post-processing operations associated with an object detection output of the neural network. The device may perform the one or more pre-processing operations associated with the sensor data to generate pre-processed sensor data. The device may generate the object detection output for the object based on detecting the object using the pre-processed sensor data as the input to the neural network. The device may perform the one or more post-processing operations using the object detection output. Numerous other aspects are described.

    METHOD AND SYSTEM FOR AUGMENTED-REALITY OBJECT TRACKING

    公开(公告)号:US20240202941A1

    公开(公告)日:2024-06-20

    申请号:US18539921

    申请日:2023-12-14

    申请人: VIRNECT CO., LTD.

    摘要: A method for AR object tracking according to an embodiment of the present disclosure, by which a tracking application executed by at least one processor of a terminal performs AR object tracking, comprises obtaining first image data; providing a primitive model with a preconfigured 2D or 3D shape; determining at least one of the provided primitive model as a primitive application model; displaying the primitive application model on the first image data; performing alignment between the primitive application model and a target object within the first image data; setting attribute values specifying the shape of the primitive application model; obtaining 3D depth data including each descriptor of the target object and a distance value corresponding to the descriptor based on the set attribute values; and performing AR object tracking based on the 3D depth data.