Light Field Image Refocusing for Standard Device Sharing
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Solution Overview
Problem
Light field images captured by specialized cameras pose challenges during sharing and downloading due to compatibility issues with standard devices, which cannot process or recognize the refocusing focal points, requiring manual selection and conversion to ordinary images.
Innovation Solution
A method and apparatus that analyze light field images to automatically determine a refocusing focal point based on face detection and recognition, allowing for the generation and sharing or downloading of ordinary images optimized for the recipient's device, considering association relationships and social connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If light field image is shared with different persons having different focal point requirements, then the sharing flexibility is improved, but the manual selection process becomes complex and non-intelligent
Solution Approach 1:
The system automatically analyzes the light field image to identify the main subject and determine the optimal refocusing focal point without requiring manual user input. The device serves itself by autonomously selecting the focal point based on image content analysis, thereby simplifying the sharing process while maintaining adaptability to different recipients' requirements
Solution Approach 2:
The system performs preliminary analysis of the light field image before sharing, pre-determining the optimal refocusing focal point in advance. This preliminary action includes identifying the main subject and calculating the appropriate focal point, so that when sharing occurs, the conversion to ordinary image is already optimized and ready, eliminating the need for manual selection at sharing time
2Adaptability or versatility
If light field image is converted to ordinary image for compatibility, then the compatibility with standard devices is improved, but the information loss increases
Solution Approach 1:
The system extracts only the essential visual information needed for the ordinary image representation while discarding redundant light field data. By using the automatically determined refocusing focal point, the system extracts the most important depth information necessary for maintaining subject sharpness, thereby achieving compatibility while minimizing information loss of critical visual elements
Solution Approach 2:
The system applies different quality levels to different regions of the image by maintaining sharp focus on the identified main subject while allowing other regions to be naturally blurred according to the optical characteristics. This local quality approach preserves the most important visual information (the main subject) in high detail while converting to ordinary image format, balancing compatibility with information retention
Data Source
AI summary
Embodiments of the present invention provide a method for sharing and downloading a light field image. The method includes: receiving a request for sharing a light field image with a first object; analyzing the light field image to obtain a refocusing focal point of the light field image; generating an ordinary image by using the light field image and by using the refocusing focal point as a focal point; and sharing the ordinary image with the first object. According to the method provided in the embodiments of the present invention, a refocusing focal point is automatically selected, so that a problem of selecting a refocusing focal point when a light field image is converted into an ordinary image is resolved, and the light field image is converted by using the refocusing focal point and shared with the first object.