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Marshall_Tappen - BYU Computer Science
Marshall_Tappen - BYU Computer Science

... A user who enlarges an image in a graphics package, such as Photoshop, often finds that while the image is larger, it also looks too smooth. This happens because traditional methods for enlarging images, such as bicubic interpolation, are unable to reconstruct the high-frequency image content necess ...
Term Project Color and Illumination Independent Landmark
Term Project Color and Illumination Independent Landmark

... • Details of the descriptors are listed on the text area • Similar feature points are observed on different images even though the distance and angle values are different – Similarity is defined as the distance between feature points in 64 dimensional feature space ...
High-Dimensional Feature Descriptors to Characterize Volumetric
High-Dimensional Feature Descriptors to Characterize Volumetric

... difference-of-Gaussians multiscale pyramid. They are detected by comparing a point’s neighbors Figure 1. The 2D SIFT on the current scale and the scales keypoint descriptor. above and below. Points having low contrast or poorly localized along an edge are then rejected limiting the set of keypoints ...
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Scale-invariant feature transform

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving.The algorithm is patented in the US; the owner is the University of British Columbia.
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