Image Processing for Face and Body Region Matching
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Solution Overview
Problem
In video frame searching using face recognition technology, incomplete feature information in reference images, such as only a body or face region, complicates the matching process due to interference from multiple regions in video frames, making it difficult to accurately match face and body regions.
Innovation Solution
An image processing method and apparatus that determines the location of a target object in a reference image, crops the target region, performs noise reduction on the cropped image to identify face and body regions, and processes the image to obtain labeled information for these regions, filtering out interference regions to improve matching accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If face recognition technology is used to search video frames with incomplete feature information, then the search can be performed, but the matching accuracy deteriorates due to interference from multiple regions
Solution Approach 1:
The patent segments the video frame processing into distinct stages: first identifying candidate regions containing face or body features, then performing specialized matching operations on each segment. This segmentation allows the system to handle incomplete feature information systematically by dividing the complex matching task into manageable parts, thereby maintaining both search efficiency and matching accuracy.
Solution Approach 2:
The patent extracts and removes interfering regions from the video frame by identifying and isolating the target object's face and body regions. By taking out the relevant feature regions and excluding other interfering regions, the system eliminates noise that would otherwise degrade matching accuracy while preserving the core matching functionality.
2Reliability
If multiple video frames are searched in the face region to match with body region, then comprehensive matching can be performed, but the processing complexity increases due to multiple interference regions
Solution Approach 1:
The patent performs preliminary actions by first identifying and locating the face and body regions before conducting the matching operation. This preliminary localization step simplifies the subsequent matching process by pre-establishing the search spaces and eliminating irrelevant regions, thereby reducing processing complexity while ensuring reliable matching through comprehensive region analysis.
Data Source
AI summary
An image processing method and apparatus, an electronic device, and a storage medium are provided. The method includes: determining a first image and first location information of a target region according to a reference image; cropping the target region to obtain a cropped image; performing noise reduction on the cropped image, and determining second location information of a face region and third location information of a body region; determining fourth location information of the face region and fifth location information of the body region in the first image according to the first location information, the second location information, and the third location information; and processing the first image according to the fourth location information and the fifth location information.