Multi-Camera Face Splicing for Deformation Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing face acquisition technologies are prone to deformation and low recognition when capturing human faces in non-continuous scenes, limiting their application and failing to meet the increasing demands for accurate recognition with the advancement of technology.
Innovation Solution
A multi-camera multi-face video splicing acquisition device and method that involves multiple cameras capturing intermittent or continuous face videos, a splicing server for face tracking, recognition, cutting, sorting, and splicing, and a time synchronizer for data synchronization, allowing for accurate and reliable face image acquisition and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single camera is used to continuously capture face video for time-series analysis, then face recognition can be performed, but the captured images are prone to deformation and have low recognition accuracy
Solution Approach 1:
The patent divides the single-camera system into multiple cameras positioned at different locations. Each camera captures face images from its own perspective, and the splicing server combines these multiple perspectives into a comprehensive face sequence, reducing deformation and improving recognition accuracy.
Solution Approach 2:
The patent transitions from a single-viewpoint capture system to a multi-viewpoint spatial arrangement. By positioning cameras at different angles and locations, the system captures face images from multiple spatial dimensions, enabling more accurate three-dimensional reconstruction and reducing image deformation.
2Loss of time
If non-continuous scene capture is used, then acquisition time is reduced, but the captured face images are prone to deformation and have low recognition accuracy
Solution Approach 1:
The system pre-positions multiple cameras at strategic locations before capture begins. This preliminary arrangement ensures that when intermittent capture occurs, multiple angular perspectives are already available, allowing the splicing server to construct accurate face sequences even from non-continuous scenes.
Solution Approach 2:
The patent merges multiple intermittent capture sequences from different cameras into a single comprehensive face sequence. The splicing server combines these fragmented captures from various angles and time points, reconstructing complete and accurate face information that overcomes the limitations of non-continuous capture.
3Loss of information
If multiple cameras are used to capture from different angles, then comprehensive image information is obtained, but system complexity increases
Solution Approach 1:
The splicing server performs multiple functions: it receives images from multiple cameras, performs face detection and tracking, splices frames in chronological order, and outputs comprehensive face sequences. This multi-functional design consolidates what would otherwise require separate systems into a single versatile processing unit.
Solution Approach 2:
The splicing server acts as an intermediary between the multiple cameras and the analysis system. It manages the complexity of coordinating multiple camera inputs, synchronizing timestamps, and combining perspectives, thereby shielding the rest of the system from this complexity while delivering comprehensive image information.
4Duration of action of moving object
If face videos from multiple cameras are spliced chronologically, then longer face sequences are formed for better analysis, but time synchronization requirements increase
Solution Approach 1:
The system uses timestamp feedback from each camera to track and synchronize face sequences. The splicing server monitors time information from multiple cameras, identifies corresponding faces across different time points, and adjusts the splicing order to maintain chronological accuracy, enabling the formation of extended face sequences with proper temporal alignment.
Data Source
AI summary
The present invention discloses a multi-camera multi-face video splicing acquisition device, comprising a plurality of cameras for successively capturing video or images with faces, at least one splicing server for face tracking, face recognition, face cutting, face sorting and face splicing of face videos or images captured by cameras; and at least one time synchronizer for calibrating the time of at least one camera and splicing server; the above devices are interconnected through a network to achieve data interaction with each other. By serially splicing the face images of the same person acquired by multiple cameras, a face sequence of a longer period of time can be formed, and the face sequences sorted by time series could be used to further extract feature information for various time series analysis, and the longer the length of time of the face sequence, the more valid information can be extracted after time-series analysis.