AR Device Pose Detection via Base Station Offloading
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Solution Overview
Problem
Existing AR devices face high power consumption and computing power requirements due to the use of cameras and depth sensors for pose detection, which are typically located on the head-mounted device.
Innovation Solution
Emit detection light from a base station to an AR device, capture images from different positions using a base station's cameras, determine distances and feature points, and calculate pose information without requiring the AR device to perform complex computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cameras and depth sensors are arranged on the head-mounted AR device for pose detection, then pose detection accuracy is improved, but power consumption increases
Solution Approach 1:
The patent introduces a base station as an intermediary device that performs pose detection calculations centrally. The AR device only needs to capture images and transmit data, while the base station handles the computationally intensive tasks of feature point detection, distance calculation, and pose determination. This mediator approach maintains detection accuracy while significantly reducing power consumption at the AR device.
Solution Approach 2:
The patent extracts the computationally intensive pose detection functions from the head-mounted AR device and relocates them to the base station. By separating the image capture function (remaining at AR device) from the analysis function (moved to base station), the system reduces the processing burden and power consumption at the AR device while maintaining overall detection capability.
2Measurement precision
If cameras and depth sensors are arranged on the head-mounted AR device for pose detection, then pose detection capability is improved, but computing power requirements increase
Solution Approach 1:
The base station acts as a computational intermediary that handles the complex algorithms for pose detection. The AR device simply captures images and sends them to the base station, which performs feature point detection, triangulation calculations, and pose computation. This distributes computational complexity away from the AR device.
Solution Approach 2:
The patent extracts the computationally demanding image processing and pose calculation algorithms from the AR device and implements them at the base station. This separation removes the burden of complex computing from the AR device while preserving the full pose detection capability through centralized processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces power consumption and computing power demands on the AR device by offloading the pose detection process to the base station, allowing for efficient and lightweight AR device operation.
Implementation Method 1
obtaining, by emitting detection light to the AR device, at least two acquired images based on photographing positions, each of the acquired images comprising image feature points based on device feature points on the AR device reflecting the detection light
Data Source
AI summary
This application relates to the field of computer technologies, augmented reality (AR) technologies, and more particularly to method and apparatus for detecting a pose of an AR device. The method includes obtaining, by emitting detection light to the AR device, two acquired images based on photographing positions, each of the acquired images comprising image feature points based on device feature points on the AR device; determining respective distances of at least two target image feature point pairs based on the at least two acquired images, the two target image feature point pairs comprising a common target image feature point; determining target device feature points respectively corresponding to the target image feature points on the AR device; and determining pose information of the AR device based on respective position information of the target device feature points and the target image feature points.