Alternative Reality Object Localization With Two-Stage Light Scanning
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Solution Overview
Problem
Existing object detection and localization technologies in virtual, augmented, and mixed reality impose high computational loads and result in input delays, affecting user experience.
Innovation Solution
A method involving two-stage light scanning: a first positioning light for preliminary object detection in divided standard regions, followed by a second positioning light for precise coordinate determination in basic regions, reducing computational load and improving localization speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the whole range of objects is scanned to achieve comprehensive object detection and location, then the detection coverage is improved, but the computational load increases
Solution Approach 1:
The preset region is divided into multiple standard regions, and each standard region is further divided into multiple basic regions. This segmentation allows the system to first identify which standard region contains the object, then focus detailed scanning only on the relevant basic regions within that standard region, rather than scanning the entire preset region.
Solution Approach 2:
The patent introduces a hierarchical dimension to the scanning process by organizing regions into multiple levels (standard regions and basic regions). This dimensional organization enables the system to navigate from coarse-grained standard region identification to fine-grained basic region localization, reducing the overall search space efficiently.
2Area of stationary object
If the whole range of objects is scanned to achieve comprehensive object detection and location, then the detection coverage is improved, but the detection speed decreases
Solution Approach 1:
The preset region is divided into multiple standard regions, and each standard region is further divided into multiple basic regions. This segmentation allows the system to first identify which standard region contains the object, then focus detailed scanning only on the relevant basic regions within that standard region, rather than scanning the entire preset region.
Solution Approach 2:
The system performs preliminary scanning of standard regions first to identify which region contains the object before conducting detailed scanning. This preliminary action narrows down the search space, allowing subsequent detailed scanning to focus only on relevant basic regions, thereby improving overall detection speed.
3Measurement precision
If high accuracy localization is applied to the whole preset region, then the positioning precision is improved, but the computational load increases
Solution Approach 1:
High-precision localization is applied only to basic regions that are determined to contain objects, rather than applying it uniformly across the entire preset region. This local application of high-precision processing maintains positioning accuracy for detected objects while significantly reducing overall computational load.
Solution Approach 2:
The preset region is divided into multiple standard regions, and each standard region is further divided into multiple basic regions. This segmentation allows the system to first identify which standard region contains the object, then focus detailed scanning only on the relevant basic regions within that standard region, rather than scanning the entire preset region.
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
This approach reduces computational requirements and enhances localization speed by narrowing the scanning range and improving detection efficiency, thus enhancing user experience in VR, AR, and XR scenarios.
Implementation Method 1
a first positioning light is emitted to scan a preset region where the object is located to obtain characteristic values of each of multiple standard regions in the preset region
Implementation Method 2
a second positioning light is emitted to the basic regions where the object is located to obtain coordinates of the object
Data Source
AI summary
An object location method to obtain location information of an object based on positioning light comprises: emitting a first positioning light, to scan a preset region where the object is located to obtain a characteristic value of each of multiple standard regions in the preset region, wherein the preset region comprises multiple standard regions; determining a basic region where the object is located according to the characteristic value of each standard region, wherein each of the standard region comprises multiple basic regions; and emitting a second positioning light to the basic regions where the object is located and to obtain coordinates of the object. An electronic device and a non-transitory storage medium are also provided.