Feature-Point Object Identification for Real-Time AR Display
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Solution Overview
Problem
Existing augmented reality technologies fail to effectively identify target objects in real-time, leading to poor user experience due to the inability to acquire and display corresponding object information promptly.
Innovation Solution
A method and apparatus for identifying a target object by obtaining feature point data, determining a target object model based on pre-obtained images, and displaying object identification information when the feature point data matches the target object model, utilizing a feature point data obtaining module, a target object model determination module, and an object to be identified display module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional augmented reality technology is used to capture images, then image capture capability is achieved, but real-time object identification and information display capability is lacking
Solution Approach 1:
The patent applies preliminary action by pre-extracting and storing feature point data from target objects before actual identification occurs. When an object needs to be identified, the system compares captured image feature points against this pre-prepared feature point database, enabling rapid identification without performing full image analysis in real-time. This resolves the contradiction by shifting computational workload from real-time processing to advance preparation.
2Measurement precision
If feature point matching is performed for object identification, then identification accuracy is improved, but processing time increases
Solution Approach 1:
The patent extracts only the essential feature points from complete object images and stores them as compact feature point data. During identification, only these extracted feature points are matched against captured image features rather than processing entire images. This extraction approach maintains identification accuracy while dramatically reducing processing time by working with minimal essential data.
3Loss of information
If comprehensive object information is stored for identification, then identification completeness is improved, but data storage requirements and processing complexity increase
Solution Approach 1:
The patent creates simplified copies of object data in the form of feature point representations rather than storing complete original images or comprehensive object databases. These feature point copies contain essential identification information in a compact format, reducing storage requirements and processing complexity while maintaining sufficient information for accurate identification through feature matching.
Data Source
AI summary
Embodiments of the disclosure provide a target object identification method and apparatus, an electronic device and a storage medium. The method includes: in response to an object identification instruction, obtaining feature point data to be used, which corresponds to an object to be identified in a display interface; determining a target object model corresponding to the object identification instruction; wherein the target object model is reconstructed based on a preset acquired object image; if the feature point data to be used is matched with feature point data of the target object model, displaying, in the display interface, identification information corresponding to the target object model in association with the object to be identified.