3D Food Volume Measurement Using Depth-Corrected Tableware Images
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Solution Overview
Problem
Existing food measurement technologies suffer from inaccuracies in volume calculation due to poor image search accuracy, leading to errors in subsequent calorie calculations.
Innovation Solution
A method using a stereo camera or depth measuring device to calculate food volume by analyzing height information on each pixel, correcting the volume using serving tableware information, and determining food type through image processing and depth data correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If image-based food search methods are used, then the system is simple to operate, but the measurement precision is remarkably degraded
Solution Approach 1:
The patent transitions from 2D image-based food search to 3D depth data-based food measurement. By incorporating depth information from stereo cameras or depth measuring devices, the system achieves accurate volume calculation while maintaining ease of operation through automatic processing.
Solution Approach 2:
The patent introduces depth data as an intermediary between the image and the final measurement result. The depth information serves as a mediator that bridges the gap between simple image capture and precise volume measurement, enabling accurate calorie calculation without complex manual input.
2Measurement precision
If tilt correction and depth data processing are applied, then the volume measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent applies tilt correction and depth data normalization as preliminary processing steps before volume calculation. By pre-correcting the depth data for tilt and normalizing the image, the system achieves high measurement precision while keeping the core volume calculation algorithm relatively simple.
Solution Approach 2:
The patent replaces complex mechanical measurement systems with optical depth sensing and computational processing. Instead of using physical measurement tools, the system uses stereo cameras or depth measuring devices combined with image processing algorithms to achieve precise volume measurement.
3Productivity
If food volume is calculated from uncorrected images, then the processing speed is fast, but the calorie calculation accuracy is poor
Solution Approach 1:
The patent performs image normalization and tilt correction as preliminary processing steps before volume calculation. This ensures that the depth data is properly aligned and scaled, leading to accurate volume measurement and subsequent calorie calculation, while maintaining efficient processing through automated algorithms.
Solution Approach 2:
The patent uses feedback from depth data analysis to continuously refine the volume calculation. By comparing the extracted food shape with the depth information and adjusting the calculation accordingly, the system achieves high calorie calculation accuracy while maintaining processing efficiency through iterative refinement.
Data Source
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AI summary
The present invention relates to a method for measuring food, and calculates an amount of food based on information on size, depth, and capacity of a plurality of spaces formed in a tableware containing food and an image photographed by a photographing means.