Nec corporation (20240096052). IMAGE MATCHING APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM simplified abstract
Contents
- 1 IMAGE MATCHING APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE MATCHING APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
IMAGE MATCHING APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Organization Name
Inventor(s)
Royston Rodrigues of Tokyo (JP)
IMAGE MATCHING APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096052 titled 'IMAGE MATCHING APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Simplified Explanation
The image matching apparatus acquires a ground-view image and an aerial-view image. It extracts features from both images, as well as a plurality of partial aerial regions from the aerial-view image. Features are extracted from each partial aerial region, and a combined aerial feature is computed for each region by combining the features of the region and the aerial-view image. The apparatus then determines whether each partial aerial region matches the ground-view image by comparing the combined aerial feature with the features of the ground-view image.
- Ground-view image and aerial-view image are acquired.
- Features are extracted from both images.
- Partial aerial regions are extracted from the aerial-view image.
- Features are extracted from each partial aerial region.
- Combined aerial feature is computed for each partial aerial region.
- Matching between partial aerial regions and ground-view image is determined.
Potential Applications
This technology could be used in:
- Urban planning
- Disaster response
- Environmental monitoring
Problems Solved
- Improved image matching accuracy
- Efficient feature extraction from aerial images
- Enhanced ground-view image analysis
Benefits
- Increased efficiency in image analysis
- Better decision-making in various applications
- Enhanced understanding of spatial relationships
Potential Commercial Applications
Optimized for SEO: "Spatial Analysis Technology for Urban Planning and Disaster Response"
Possible Prior Art
No known prior art at this time.
Unanswered Questions
How does the apparatus handle variations in lighting conditions between the ground-view and aerial-view images?
The abstract does not provide information on how the apparatus accounts for differences in lighting conditions that may affect image matching accuracy.
What is the computational complexity of the image matching process?
The abstract does not mention the computational resources required for the image matching apparatus to process and compare features from the ground-view and aerial-view images.
Original Abstract Submitted
the image matching apparatus () acquires a ground-view image () and an aerial-view image (). the image matching apparatus () extracts features from the ground-view image (). the image matching apparatus () extracts features from the aerial-view image (). the image matching apparatus () extracts a plurality of partial aerial regions () from the aerial-view image (), and extracts features from each partial aerial region (). the image matching apparatus () computes, for each partial aerial region (), a combined aerial feature by combining the features of the partial aerial region () and the features of the aerial-view image (). the image matching apparatus () determines, for each partial aerial region (), whether the partial aerial region () matches the ground-view image () by comparing the combined aerial feature of the partial aerial region () and the features of the ground-view image ().