18316347. APPARATUS AND METHOD WITH IMAGE MATCHING simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 APPARATUS AND METHOD WITH IMAGE MATCHING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPARATUS AND METHOD WITH IMAGE MATCHING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
APPARATUS AND METHOD WITH IMAGE MATCHING
Organization Name
Inventor(s)
Seung Wook Kim of Pohang-si (KR)
APPARATUS AND METHOD WITH IMAGE MATCHING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18316347 titled 'APPARATUS AND METHOD WITH IMAGE MATCHING
Simplified Explanation
The abstract describes a method involving the extraction of feature maps from images, generation of a matching point map, refinement of the map using attention between matching points, and extraction of a matching point between the images.
- Feature maps extracted from images based on a convolutional network
- Matching point map generated from the feature maps
- Refinement of the matching point map using attention between matching points
- Extraction of a matching point between the two images from the refined matching point map
Potential Applications
This technology could be applied in various fields such as computer vision, image recognition, object tracking, and augmented reality.
Problems Solved
This technology helps in improving the accuracy and efficiency of matching points extraction between images, which can be challenging in complex visual data.
Benefits
The method offers a more precise and reliable way to extract matching points between images, leading to enhanced performance in tasks like image registration and object detection.
Potential Commercial Applications
- "Enhanced Image Matching Method for Improved Object Tracking and Recognition"
Possible Prior Art
There may be prior art related to image feature extraction, matching point generation, and attention mechanisms in computer vision applications.
What are the limitations of this technology in real-world applications?
The abstract does not provide information on the scalability of the method for processing large datasets or real-time applications.
How does this technology compare to existing methods for image matching and feature extraction?
The abstract does not mention any comparative analysis with existing methods or technologies in the field of image processing and computer vision.
Original Abstract Submitted
A processor-implemented method includes: extracting feature maps respectively corresponding to a plurality of channels based on a convolutional network with respect to two images; generating a matching point map from the feature maps; refining the matching point map by using attention between matching points comprised in the matching point map; and extracting a matching point between the two images from the refined matching point map.
