Path: TopGray LiteraturesDDanny_S._Pangemanan2001

REKONSTRUKSI OBYEK 3D CITRA MONOKULAR MENGGUNAKAN METODE REGRESI LINIER, TEKNIK PELABELAN VERTEX DAN STRUKTUR ATURAN KECERDASAN

Majalah Ilmiah Teknik Elektro, vol. 7, no. 1, tahun 2001
Gray literature from JBPTITBPP / 2007-02-14 18:47:35
Oleh : Danny S. Pangemanan, Laboratorium Sistem Kendali dan Komputer
Dibuat : 2001-00-00, dengan 1 file

Keyword :

Image processing, linear regression, artificial intelligence

Abstract:

This paper deals with development of object model control points extraction method from a monocular image. These control points are resulted from edge detection of straight line using linear regression method. This method is not influenced by the thickness of line segment, so that an enough accurate result can be achieved. The control points are then extracted to become 3D object model parameter. A knowledge structure for artificial intelligent algorithm is also proposed. The structure is based on connectivity laws among vertices. It is shown from several experiments that the proposed method give a good result in reconstructing the 3D object model consisting of orthogonal straight lines.

Deskripsi Alternatif :

Abstract:

This paper deals with development of object model control points extraction method from a monocular image. These control points are resulted from edge detection of straight line using linear regression method. This method is not influenced by the thickness of line segment, so that an enough accurate result can be achieved. The control points are then extracted to become 3D object model parameter. A knowledge structure for artificial intelligent algorithm is also proposed. The structure is based on connectivity laws among vertices. It is shown from several experiments that the proposed method give a good result in reconstructing the 3D object model consisting of orthogonal straight lines.

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Kontributor...

  • 1st Author
    Carmadi Machbub

    3rdAuthor
    Ary Setijadi Prihatmanto

    Scan:
    Ena Sukmana (2006-01-25), Editor:

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