Description: Relationship Between the Sum of Squared Difference (SSD)
and Cross Correlation for Template Matching
Konstantinos G. Derpanis
York University
kosta@cs.yorku.ca
Version 1.0
December 23, 2005 Platform: |
Size: 41984 |
Author:li |
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Description: This paper presents an image feature matching algorithm,based on what an image stitching algorithm can be fune—
tioning.In this algorithm,Harris comer detector is used to extract featum points-This paper presents an image feature matching algorithm, based on what an image stitching algorithm can be fune-tioning. In this algorithm, Harris comer detector is used to extract featum points Platform: |
Size: 206848 |
Author:wang |
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Description: NCC算法的描述,很详细,适合初学者,图像匹配必须-NCC algorithm described in great detail, suitable for beginners, image matching to be Platform: |
Size: 139264 |
Author:刘明烁 |
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Description: matching shape can be subdivided between two approaches: feature-based and template-based matching. The feature-based approach uses the features of the search and template image, such as edges or corners, as the primary match-measuring metrics to find the best matching location of the template in the source image. The template-based, or global, approach, uses the entire template, with generally a sum-comparing metric (using SAD, SSD, cross-correlation, etc.) that determines the best location by testing all or a sample of the viable test locations within the search image that the template image may match up to. Platform: |
Size: 10481664 |
Author:gislam |
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