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Sim, Jae-Young
Visual Information Processing Lab (VIP Lab)
Research Interests
  • Image processing, computer vision, 3D visual processing, signal processing

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Geometry contrast enhancement for 3D point models using histogram modification

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Title
Geometry contrast enhancement for 3D point models using histogram modification
Author
Nam, Jin-WooSim, Jae-Young
Keywords
3D point model; Contrast Enhancement; Feature point; Graphics hardware; Histogram modification; Neighboring point; Normal direction; Signed distance
Issue Date
2011-10
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Citation
IEICE ELECTRONICS EXPRESS, v.8, no.19, pp.1621 - 1626
Abstract
In this paper, we propose a geometry histogram modification algorithm to increase the visibility of 3D point models. We define a weak feature as a group of neighboring points yielding the small deviations of normal directions. Geometry histogram is defined as the distribution of the signed distance between a feature point and the locally approximated plane. We equalize and stretch the geometry histogram and move the corresponding feature points accordingly. We also use the OpenGL API for simple and fast rendering of 3D point models. Experimental results show that the proposed algorithm efficiently enhances the geometry contrast of 3D point models by improving the appearance of the weak features.
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DOI
10.1587/elex.8.1621
ISSN
1349-2543
Appears in Collections:
ECE_Journal Papers
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