Smart Device Image Synthesis Avoiding Object Blocking
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Solution Overview
Problem
Existing image synthesis methods for smart devices fail to appropriately position and scale the photographer's image when combining it with the image of the person being photographed, often resulting in poor image quality due to blocking important objects and inconsistent face proportions.
Innovation Solution
The method involves capturing images with a first and second camera, recognizing objects in the first image, finding a non-overlapping area, and adaptively embedding the second image into that area to generate a third image, ensuring the photographer's image is integrated without blocking important objects and maintaining consistent proportions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the second preview image is displayed at a specific position of the first preview image, then the photographer's image can be included in the final photograph, but the second preview image may block important objects (such as human faces) in the first preview image
Solution Approach 1:
The system performs preliminary object recognition and analysis on the first preview image before final composition, identifying important objects such as human faces. Based on this preliminary analysis, the system determines the optimal positioning of the second preview image to avoid blocking these identified important objects, thus resolving the contradiction between including the photographer and preserving the integrity of the main subject.
Solution Approach 2:
The system applies different treatment to different regions of the first preview image based on local characteristics. By analyzing the content of specific areas and identifying important objects in those regions, the system selectively positions the second preview image in areas that do not contain critical visual elements, ensuring local optimization of image quality while maintaining overall composition.
2Quantity of substance
If the second preview image is displayed at a specific position of the first preview image, then the photographer's image can be included in the final photograph, but the proportion of face sizes may be inconsistent and aesthetically poor
Solution Approach 1:
The system dynamically adjusts the scaling parameter of the second preview image based on the detected face size in the first preview image. By changing the size parameter adaptively, the system ensures that the photographer's face in the second preview image maintains an appropriate proportion relative to the subject's face in the first preview image, achieving aesthetically pleasing results with consistent face proportions.
Solution Approach 2:
The system employs dynamic scaling and positioning of the second preview image rather than fixed parameters. The size and position of the embedded photographer's image are adjusted dynamically based on real-time analysis of the first preview image content, allowing the system to adapt to different scenarios and maintain optimal face proportions across various shooting conditions.
3Ease of manufacture
If the second preview image is simply embedded into the first preview image without adaptive positioning, then the processing is simple, but the position is not appropriate and may block important objects
Solution Approach 1:
The system performs automatic object recognition and automatic positioning of the second preview image without requiring manual intervention. The algorithm independently analyzes the first preview image, identifies important objects, and determines the optimal placement position, thereby maintaining simplicity of operation while achieving high positioning accuracy through automated intelligent processing.
Solution Approach 2:
The system replaces manual positioning operations with automated image recognition and analysis algorithms. Instead of requiring users to manually adjust the position of the second preview image, the system uses computational algorithms to automatically determine the optimal position, substituting mechanical/manual operations with intelligent software-based positioning that achieves both simplicity and precision.
Data Source
AI summary
The disclosure provides an image synthesis method and a smart device using the same method. The method includes: respectively capturing a first image and a second image by using a first camera and a second camera, wherein the first camera and the second camera are disposed on opposite sides of the smart device; recognizing a first object in the first image; finding a specific area in the first image, wherein the specific area is not overlapped with the first object; embedding the second image into the specific area of the first image to generate a third image.


