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computer-visionとsiftに関するIanLewisのブックマーク (1)

  • Scale-invariant feature transform - Wikipedia

    The detection and description of local image features can help in object recognition. The SIFT features are local and based on the appearance of the object at particular interest points, and are invariant to image scale and rotation. They are also robust to changes in illumination, noise, and minor changes in viewpoint. In addition to these properties, they are highly distinctive, relatively easy

    Scale-invariant feature transform - Wikipedia
    IanLewis
    IanLewis 2010/01/26
    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.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recogni
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