Face Recognition Mode Switching for Profile and Animal Detection
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Solution Overview
Problem
Conventional face recognition techniques in image pick-up apparatuses, such as digital cameras, are limited in recognizing faces from specific angles, fail to recognize faces with sunglasses or profiles, and cannot identify animal faces.
Innovation Solution
An image pick-up apparatus with a face recognizing mode setting unit that performs different face recognition processes, including two-dimensional and three-dimensional face recognition, to identify human and animal faces, even when viewed from various angles or partially obscured.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional face recognition technique is used, then processing is simple, but recognition accuracy is low for profiles, sunglasses, and animal faces
Solution Approach 1:
The patent segments the face recognition task into multiple specialized modes: 2D face recognition for frontal views, 3D face recognition for profiles and angled views, and animal face recognition for non-human subjects. Each mode employs tailored processing algorithms appropriate to its specific recognition challenge, thereby improving overall accuracy without requiring a single overly complex system.
Solution Approach 2:
The patent introduces three-dimensional face recognition capability to complement traditional two-dimensional recognition. This dimensional expansion enables the system to handle profile views and angled shots that cannot be effectively processed by 2D algorithms alone, directly addressing the limitation regarding profile recognition.
2Adaptability or versatility
If multiple face recognizing modes are implemented, then versatility is improved, but device complexity increases
Solution Approach 1:
The patent creates a multi-functional face recognition system where a single apparatus can perform multiple recognition tasks: human face recognition from frontal views, profile recognition, recognition of faces with sunglasses, and animal face recognition. This universal approach allows one system to handle diverse recognition scenarios that would otherwise require separate specialized systems.
Solution Approach 2:
The system dynamically selects and switches between different recognition modes (2D, 3D, animal face) based on the input characteristics. This dynamic adaptability allows the system to optimize its processing approach for each specific case, improving versatility while managing complexity through intelligent mode selection rather than permanently maintaining all processing paths simultaneously.
3Measurement precision
If 3D face recognition is added, then profile recognition is improved, but processing time increases
Solution Approach 1:
The system dynamically determines whether to apply 3D recognition based on the detected face orientation and characteristics. For frontal faces, simpler 2D recognition is used; for profiles and angled views, 3D recognition is activated. This dynamic approach ensures 3D processing is only performed when necessary, minimizing overall processing time while maintaining profile recognition capability.
Solution Approach 2:
The patent applies 3D face recognition selectively rather than universally. Instead of processing all faces with the computationally intensive 3D algorithm, the system applies it only to cases where it is needed (profiles and angled views), using simpler methods for standard frontal faces. This partial application reduces overall processing time while maintaining accuracy for challenging cases.
Data Source
AI summary
It is judged whether or not a human face detecting mode is set. When it is determined that the human face detecting mode is set, a two-dimensional face detecting process is performed to detect a human face. When it is determined that a human face has not been detected in the two-dimensional face detecting process, a three-dimensional face detecting process is performed to detect a human face. In addition, when an animal face detecting mode is set, a three-dimensional face detecting process is performed to detect a face of an animal corresponding to the set detecting mode.


