3D Body Feature Distance Measurement via Weighted Image Analysis
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Solution Overview
Problem
Manual measurement of human body features for customizing clothing or accessories is time-consuming and lacks precision.
Innovation Solution
A distance measuring device that captures human images, analyzes feature points to generate three-dimensional coordinates, calculates distances and deflection angles, and performs weighted average calculations to provide accurate and efficient measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual measurement methods are used for human body features, then the measurement process is simple and requires basic tools, but the measurement efficiency is low and time-consuming
Solution Approach 1:
The patent replaces manual mechanical measurement tools (rulers, tape measures) with an automated image processing system that uses cameras to capture images and algorithms to calculate distances between feature points, thereby improving measurement efficiency while reducing the need for physical measurement tools
Solution Approach 2:
The patent creates a digital copy of the human body features through image capture and processing, generating virtual three-dimensional coordinates that represent physical measurements, allowing for automated calculation of distances without direct physical contact or manual measurement
2Measurement precision
If manual measurement methods are used for human body features, then the equipment required is simple, but the measurement precision is insufficient with errors exceeding 2 mm
Solution Approach 1:
The patent transitions from two-dimensional image data to three-dimensional coordinate representation by calculating deflection angles and using weighted average calculations, enabling precise measurement of distances between feature points in three-dimensional space with errors reduced to within 2 mm
Solution Approach 2:
The patent introduces image processing algorithms and coordinate transformation methods as intermediaries between the captured images and the final measurement results, using deflection angle calculations and weighted averages to achieve high precision measurements
3Measurement precision
If multiple images are captured and processed to improve measurement accuracy, then the measurement precision increases to within 2 mm error, but the processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary processing by capturing multiple groups of images in advance and pre-calculating three-dimensional coordinates for feature points, then uses these pre-processed data for rapid measurement calculations, reducing the time required for actual measurement while maintaining high precision
Data Source
AI summary
A distance measuring device for human body features is provided. The device comprises: an image capturing unit configured to capture a plurality of groups of human images of at least one part of human body in a time interval; an image processing unit configured to analyze to recognize a plurality of feature points in each group of the human images to generate three-dimensional coordinates for each feature point; and a processing unit configured to calculate a distance between a first feature point and a second feature point, calculate a deflection angle for each group of the human images, and generate a weight value. The processing unit has a weighted average calculation based on the weight values and the distances to generate a measurement result.