Samsung electronics co., ltd. (20240330688). METHOD FOR PROCESSING IMAGE, AND APPARATUS THEREFOR simplified abstract
Contents
- 1 METHOD FOR PROCESSING IMAGE, AND APPARATUS THEREFOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR PROCESSING IMAGE, AND APPARATUS THEREFOR - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
METHOD FOR PROCESSING IMAGE, AND APPARATUS THEREFOR
Organization Name
Inventor(s)
Chang Dong Yoo of Daejeon (KR)
METHOD FOR PROCESSING IMAGE, AND APPARATUS THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240330688 titled 'METHOD FOR PROCESSING IMAGE, AND APPARATUS THEREFOR
Simplified Explanation
The patent application describes an artificial intelligence system that uses a machine learning algorithm, such as deep learning, for processing images. The system involves training AI models to identify and verify standard structures in images, particularly faces.
- The system obtains training image sets labeled with feature points forming a preset structure.
- It generates an AI model to determine a standard structure based on the labeled feature points.
- It identifies faces in training images transformed based on the standard structure.
- It trains a second AI model to verify the accuracy of the first AI model using transformed images.
Key Features and Innovation
- Utilizes machine learning algorithm, such as deep learning, for image processing.
- Trains AI models to identify and verify standard structures in images.
- Focuses on faces in images for accuracy verification.
Potential Applications
The technology can be applied in various fields such as facial recognition, image processing, security systems, and biometric authentication.
Problems Solved
Addresses the need for accurate and efficient image processing and verification of standard structures in images.
Benefits
- Improved accuracy in identifying and verifying standard structures in images.
- Enhanced security measures through facial recognition technology.
- Efficient image processing for various applications.
Commercial Applications
- Facial recognition systems for security purposes.
- Image processing software for enhancing photographs.
- Biometric authentication systems for access control.
Questions about the Technology
How does the AI system differentiate between different types of target objects in images?
The AI system uses labeled feature points forming a preset structure to train models for identifying standard structures specific to each type of target object.
What are the potential limitations of using deep learning algorithms in image processing?
Deep learning algorithms may require large amounts of training data and computational resources, which can be a limitation for some applications.
Original Abstract Submitted
provided are an artificial intelligence (ai) system using a machine learning algorithm such as deep learning, and applications thereof. a method, performed by an electronic apparatus, of processing images includes obtaining a plurality of training image sets corresponding to a plurality of types of target objects, wherein training images in the training image sets are labeled with feature points forming a preset structure, generating a first artificial intelligence (ai) model for determining a standard structure based on the labeled feature points, by using the training images in the training image sets, identifying a face in a training image transformed based on the standard structure, and training a second ai model for verifying the first ai model, based on an image regressed from the transformed training image, and the training image before being transformed.
