Samsung electronics co., ltd. (20240303846). METHOD AND APPARATUS WITH IMAGE PROCESSING simplified abstract
METHOD AND APPARATUS WITH IMAGE PROCESSING
Organization Name
Inventor(s)
Xiongfeng Peng of Beijing (CN)
Kyungboo Jung of Suwon-si (KR)
Myungjae Jeon of Suwon-si (KR)
Young Hun Sung of Suwon-si (KR)
METHOD AND APPARATUS WITH IMAGE PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303846 titled 'METHOD AND APPARATUS WITH IMAGE PROCESSING
The abstract of this patent application describes a method that involves obtaining visual features from two image frames, constructing constraints based on these features, and using them for localization and mapping.
- Obtaining visual association and appearance features from two image frames
- Constructing visual reprojection and feature metric constraints based on the features
- Performing localization and mapping using these constraints
Potential Applications: - Augmented reality systems - Autonomous navigation systems - Robotics applications
Problems Solved: - Enhancing object recognition and tracking accuracy - Improving spatial awareness in visual processing systems
Benefits: - Increased precision in localization and mapping - Enhanced object recognition capabilities - Improved performance of visual processing algorithms
Commercial Applications: Title: Visual Localization and Mapping Technology for Enhanced Object Recognition This technology can be utilized in industries such as: - Augmented reality - Autonomous vehicles - Robotics and automation
Prior Art: Researchers can explore prior work in computer vision, object recognition, and visual mapping technologies to understand the evolution of similar concepts.
Frequently Updated Research: Researchers in the fields of computer vision and artificial intelligence may be conducting ongoing studies related to visual localization and mapping techniques. Stay updated with the latest advancements in these areas.
Questions about Visual Localization and Mapping Technology: 1. How does this technology improve object recognition accuracy compared to traditional methods? This technology enhances object recognition accuracy by utilizing visual association and appearance features to construct constraints for localization and mapping, leading to more precise results.
2. What are the potential limitations of this technology in real-world applications? While this technology offers improved object recognition and mapping capabilities, potential limitations may include computational complexity and the need for high-quality visual data for accurate results.
Original Abstract Submitted
a processor-implemented method includes obtaining a visual association feature indicating an association between a first image frame and a second image frame and a visual appearance feature indicating the same object appearance in the first image frame and the second image frame, constructing a visual reprojection constraint based on the visual association feature, constructing a visual feature metric constraint based on the visual appearance feature, and performing localization and mapping based on the visual reprojection constraint and the visual feature metric constraint.