Image matching method based on cascaded binary encoding
First Claim
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1. An image matching method based on cascaded binary encoding, characterized in that the stated method includes:
- Procedure S1;
Using a hashing look-up with multiple hashing tables to coarsely filter candidate key-points in the image to produce a candidate subset of the candidate key-points;
Procedure S2;
Projecting the candidate subset of the candidate key-points into a high-dimensional Hamming space;
Procedure S3;
Building a “
Hamming distance-memory address”
hashing table, and obtaining the optimal matching key-point by querying this hashing table.
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Abstract
An image matching method based on cascaded binary encoding includes using a hashing look-up with multiple hashing tables to coarsely filter candidate key-points in an image to produce a candidate subset of key-points, projecting the candidate subset into a high-dimensional Hamming space, and building a “Hamming distance-memory address” hashing table. An optimal matching key-point is discovered by querying the hashing table. The image matching method has high processing speed and matching quality, which can be used for efficient and accurate image matching.
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Citations
5 Claims
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1. An image matching method based on cascaded binary encoding, characterized in that the stated method includes:
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Procedure S1;
Using a hashing look-up with multiple hashing tables to coarsely filter candidate key-points in the image to produce a candidate subset of the candidate key-points;Procedure S2;
Projecting the candidate subset of the candidate key-points into a high-dimensional Hamming space;Procedure S3;
Building a “
Hamming distance-memory address”
hashing table, and obtaining the optimal matching key-point by querying this hashing table. - View Dependent Claims (2, 3, 4, 5)
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Specification