Picture Book Identification via Geometric Parameter Matching
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Solution Overview
Problem
Current picture book identification methods in educational robots for children often suffer from misidentification due to image similarity-based matching, which affects accuracy.
Innovation Solution
A computer-implemented method that determines geometric parameters of an identification object using camera images and internal camera parameters, allowing for precise comparison with stored target picture book parameters, independent of camera position, to accurately identify matching pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image searching and matching based on similarity is used to identify picture book pages, then the identification process is simple and fast, but misidentification occurs reducing accuracy
Solution Approach 1:
The patent changes the identification parameters from image similarity (visual content) to geometric parameters (side length ratios and angles) of the picture book page. This parameter transformation allows the system to maintain fast identification while achieving high accuracy, as geometric parameters are invariant to image quality variations and provide precise structural matching capabilities
2Measurement precision
If geometric parameter calculation is used for picture book identification, then identification accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent replaces complex mechanical or manual measurement systems with automated camera-based geometric parameter calculation. By using a camera to capture images and automatically computing side length ratios and angles through image processing algorithms, the system achieves high identification accuracy while keeping the physical device structure simple and easy to implement
Data Source
AI summary
The present disclosure provides a picture hook identification method as well as an apparatus and a terminal device using the same. The method includes; determining geometric parameter(s) of an identification object based on image(s) collected b a camera and internal parameter(s) of the camera; comparing the geometric parameters of the identification object with geometric parameter(s) of a target picture book; and determining the identification object as the target picture book, if a difference between the geometric parameters of the identification object and the geometric parameters of the target picture book is within a preset range. In this manner, the target picture book is further filtered by matching the geometric parameters, which can reduce misidentification to improve the accuracy of identifying the picture book.