Multi-Camera Appearance Analysis for Full-Face Evaluation
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Solution Overview
Problem
Existing intelligent terminal devices often collect images of users using front-facing cameras, limiting the regions captured and affecting the accuracy of appearance evaluations, particularly for specific areas like the left and right cheeks.
Innovation Solution
Employing multiple cameras, including a first and a second camera arranged symmetrically on opposite sides of an electronic device to capture different regions of a user, allowing for comprehensive image collection and analysis, with optional adjustment of camera parameters and posture guidance for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a single front-facing camera is used to collect user images, then the device structure remains simple, but the image coverage area is limited and specific regions like left and right cheeks cannot be captured
Solution Approach 1:
The patent divides the image collection task into multiple segments by using multiple cameras positioned at different locations. Each camera captures a specific region (e.g., left cheek, right cheek, front face), and these segmented images are then synthesized to form a complete appearance evaluation, thereby expanding the total coverage area without requiring a single complex wide-angle lens
Solution Approach 2:
The patent combines multiple camera systems into a single integrated device. By merging the functions of multiple cameras, image processing units, and synthesis algorithms into one device, the system achieves expanded image coverage while keeping the overall device structure manageable and coordinated
2Measurement precision
If multiple cameras are used to capture different regions of the user, then the appearance evaluation accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent employs asymmetric camera positioning where cameras are placed at specific non-uniform locations optimized for capturing particular facial regions. This asymmetric arrangement allows each camera to target specific anatomical features effectively, improving measurement precision for appearance evaluation while avoiding the need for a symmetric array that would require even more components
Solution Approach 2:
The patent designs the multi-camera system with universal image processing capabilities that can handle various types of images from different cameras using the same processing pipeline. The synthesis algorithm serves multiple functions by integrating images for both appearance evaluation and generating three-dimensional models, thereby improving precision without proportionally increasing complexity
3Loss of information
If images from multiple cameras are processed separately, then the processing detail is thorough, but the development cost and processing time increase
Solution Approach 1:
The patent merges the processing of multiple camera images into a unified synthesis process. Instead of separately analyzing each image and then combining results, the system integrates the images early in the processing pipeline and performs a single comprehensive analysis, thereby preserving complete information while reducing total processing time
Solution Approach 2:
The patent performs preliminary alignment and coordination of images from multiple cameras before detailed analysis. By pre-positioning and pre-aligning the images based on known camera geometries and capture timestamps, the system prepares the data structure in advance, allowing subsequent processing to proceed more efficiently without losing information
Data Source
AI summary
An appearance analysis method includes an electronic device obtaining a first image associated with a first region of an object and a second image associated with a second region of the object, where the first image is collected by a first camera, where the second image is collected by a second camera, and wherein the first region is different from the second region. The electronic device provides an appearance evaluation of the object, where the appearance evaluation is determined based on the first image and the second image.