2007
DOI: 10.1080/16864360.2007.10738492
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Segmenting Geometric Reliefs from Textured Background Surfaces

Abstract: Fig. 1: A pen container showing a relief on a textured background and a corresponding segmentation.ABSTRACT Segmentation of geometric reliefs from a textured background has various applications in reverse engineering. We consider two approaches to solve this problem. The first classifies parts of a surface mesh as relief or background, and then uses a snake which moves inwards towards the desired relief boundary, which is coarsely located using an energy based on the classification. The second approach initial… Show more

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Cited by 17 publications
(14 citation statements)
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“…If the underlying surface is not smooth but textured, the extraction becomes more challenging. Two remedies for this case are presented in [LMLR07b].…”
Section: Relief Extractionmentioning
confidence: 99%
See 1 more Smart Citation
“…If the underlying surface is not smooth but textured, the extraction becomes more challenging. Two remedies for this case are presented in [LMLR07b].…”
Section: Relief Extractionmentioning
confidence: 99%
“…If the underlying surface is not smooth but textured, the extraction becomes more challenging. Two remedies for this case are presented in [LMLR07b]. Snake-like approaches, like the above ones, are able to adapt to concave sculptures but they fail to detect the background within a relief if the foreground surrounds it.…”
Section: Relief Extractionmentioning
confidence: 99%
“…While at times the relief may lie on a simple base surface such as a plane, a cylinder, or a surface of revolution, which can readily be estimated, in many other cases the base surface is unknown [1]. Starting from an initial user-drawn contour loosely enclosing the relief (a snake), Liu et al [1,2,3,4] gave a series of algorithms to separate reliefs from their underlying surfaces, both for smooth and textured backgrounds. Zatzarinni showed how to automatically extract reliefs by defining a height function along the base surface normals, the latter being adaptively estimated using local geometric features computed via experimentally determined coefficients [5].…”
Section: Introductionmentioning
confidence: 99%
“…More complex, in terms of processing, are reliefs lying on a textured background. We have already addressed the segmentation problem-separating the relief from the underlying background-for such cases in [1] and [2].…”
Section: Introductionmentioning
confidence: 99%
“…The relief's outer boundaries can be detected using our previous segmentation methods: see [1] for the smooth background case, and [2] for textured backgrounds. These methods separate reliefs from their underlying surface using an active contour (or snake) driven by energy terms based on two significant relief characteristics, the raised step at the relief boundary, or the difference in surface properties between the relief and the background surface.…”
Section: Introductionmentioning
confidence: 99%