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- W4383567114 abstract "Point Pattern Matching (PPM) is an approach to establish correspondence between two related patterns by pairing up of points. PPM is widely used in the field of computer vision and pattern recognition. The existing approaches for PPM has either high computational complexity or the search space is large. To overcome this drawback, an Improved Ant Colony Optimization based Binary Search for Point Pattern Matching (IACOBSPPM) has been proposed. The algorithm chooses a query image point value from the query image point pattern and finds the reduced search space in the stored image point pattern based on the length of the point value. The query image point value is searched only in the reduced search space. When a match is found, the next query image point value of the same length is searched only from the matching position of the previous query image point value, further reducing the search space. The computational complexity of the proposal is less compared to the existing approaches for point pattern matching. Experimental results prove the efficiency of IACOBSPPM algorithm." @default.
- W4383567114 created "2023-07-08" @default.
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- W4383567114 date "2023-01-01" @default.
- W4383567114 modified "2023-10-17" @default.
- W4383567114 title "Improved Ant Colony Optimization Based Binary Search for Point Pattern Matching for Efficient Image Matching" @default.
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- W4383567114 doi "https://doi.org/10.1007/978-3-031-36622-2_8" @default.
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