HARRIS-based improved three-dimensional point cloud characteristic extraction method
The invention provides a HARRIS-based improved three-dimensional point cloud characteristic extraction method and relates to the field of images. The method comprises the steps of providing a three-dimensional point cloud neighborhood defining method; processing a neighborhood; analyzing a point set...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention provides a HARRIS-based improved three-dimensional point cloud characteristic extraction method and relates to the field of images. The method comprises the steps of providing a three-dimensional point cloud neighborhood defining method; processing a neighborhood; analyzing a point set by use of a principal component analysis method; selecting a vector with a minimum vector characteristic value as a fitting plane normal; fitting the converted point set into a quadric surface by use of a least square method; and then processing the quadric surface by use of a Harris algorithm to screen out characteristic points. According to the HARRIS-based improved three-dimensional point cloud characteristic extraction method, because the point set is analyzed by use of the principal component analysis method, the vector with the minimum vector characteristic value is selected as the fitting plane normal, the converted point set is fit into the quadric surface by use of the least squaremethod, the quadric surf |
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