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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:6368</identifier>
                <datestamp>2018-11-18T21:28:12Z</datestamp>
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                    <dim:field mdschema="dc" element="title" lang="en">Measuring Conicity from shape boundaries</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2009</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/6368</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://www.mva-org.jp/Proceedings/2009CD/papers/08-03.pdf</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0001-6279-2988" confidence="-1">M. Stojmenović</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:24030" confidence="-1">A. Nayak</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">There has been a lot of research on ellipse fitting and
measuring ellipticity of a set of points. However, when the
shape is primarily hyperbolic or parabolic, there are no
existing methods to measure such properties. This paper
describes the first known methods of measuring conicity,
hyperbolicity and parabolicity of a set of points. After
finding the best conic fit, we measure the corresponding
ellipticity (using a known method), hyperbolicity or
parabolicity value with respect to that best fit. We are
interested in measures which rely exclusively on shape
boundary points. They should also be calculated very
quickly, be invariant to rotation, scaling and translation.
The evaluation of fits transforms the point data into polar
representation where the radius in this representation is
equal to the difference of distances from each point to
both foci (for hyperbolas), and the sum of distances from
each point to the focus and a line parallel to the directrix
line (for parabolas). The linearity of the polar
representation will correspond to the quality of the fit for
the original data. The conicity measure is tested on a set
of 45 shapes.</dim:field>
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                    <dim:field mdschema="dc" element="citation" qualifier="spage">215</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="epage">218</dim:field>
                    <dim:field mdschema="dc" element="source">IIAPR Conference on Machine Vision and Applications</dim:field>
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