Face Detection and Auto Positioning for Robotic Vision System | Zendy

Muralindran Mariappan | Zendy; Tan Wei Fang | Zendy; Manimehala Nadarajan | Zendy; Norfarariyanti Parimon | Zendy

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Face Detection and Auto Positioning for Robotic Vision System

Author(s) -

Muralindran Mariappan,

Tan Wei Fang,

Manimehala Nadarajan,

Norfarariyanti Parimon

Publication year - 2015

Publication title -

international journal of image graphics and signal processing

Language(s) - English

Resource type - Journals

eISSN - 2074-9082

pISSN - 2074-9074

DOI - 10.5815/ijigsp.2015.12.01

Subject(s) - photogrammetry , computer vision , artificial intelligence , computer science , fractal , multifractal system , segmentation , face (sociological concept) , fractal analysis , fractal dimension , mathematics , social science , sociology , mathematical analysis

As rapidly the computer technology is being developed the fractals and fractal based analysis have received special popularity. Space photogrammetric snapshots fixed in a number of electromagnetic radiation spectral ranges have their own special attributes as compared with color images in general. The aspects of photogrammetric images segmentation based on multifractal analysis are studied in this paper in order to extract the edges of the developed object optimally. The aim of the study is to research the way of fractal analysis based on pointwise Hölder exponent of photogrammetric images fixed in a number of spectrum ranges by iconic means of remote sensing.

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