Determining Perspective Structures using Hierarchical Hough Transform
Identifieur interne : 000599 ( Crin/Curation ); précédent : 000598; suivant : 000600Determining Perspective Structures using Hierarchical Hough Transform
Auteurs : L. Quan ; R. MohrSource :
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Abstract
In this paper, we present an efficient algorithm determining perspective structures such as vanishing points and horizon lines for indoor scenes. The algorithm is implemented as a hierarchical Hough transform on the pyramidal sphere. The uncertainty due to gaussian mapping with different focal distance is discussed, and a possible improvement of the algorithm is also given.
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<front><div type="abstract" xml:lang="en" wicri:score="958">In this paper, we present an efficient algorithm determining perspective structures such as vanishing points and horizon lines for indoor scenes. The algorithm is implemented as a hierarchical Hough transform on the pyramidal sphere. The uncertainty due to gaussian mapping with different focal distance is discussed, and a possible improvement of the algorithm is also given.</div>
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<BibTex type="techreport"><ref>quan88c</ref>
<crinnumber>88-R-063</crinnumber>
<category>15</category>
<equipe>INCONNUE</equipe>
<author><e>Quan, L.</e>
<e>Mohr, R.</e>
</author>
<title>Determining Perspective Structures using Hierarchical Hough Transform</title>
<institution>Centre de Recherche en Informatique de Nancy</institution>
<year>1988</year>
<type>Rapport interne</type>
<address>Vandoeuvre-lès-Nancy</address>
<keywords><e>computer vision</e>
<e>Hough transform</e>
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<abstract>In this paper, we present an efficient algorithm determining perspective structures such as vanishing points and horizon lines for indoor scenes. The algorithm is implemented as a hierarchical Hough transform on the pyramidal sphere. The uncertainty due to gaussian mapping with different focal distance is discussed, and a possible improvement of the algorithm is also given.</abstract>
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