In this paper, we present an approach which is applicable to both the stereo and the motion correspondence problems. We take into account different representations of edge primitives and introduce the idea of Hough Transform to develop a matching algorithm which does not require any local constraints during the matching process.
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Ming XIE, "3D Dynamic Stereovision: A Unified Approach for Stereo and Motion Matching without Local Constraints" in IEICE TRANSACTIONS on Information,
vol. E77-D, no. 11, pp. 1259-1261, November 1994, doi: .
Abstract: In this paper, we present an approach which is applicable to both the stereo and the motion correspondence problems. We take into account different representations of edge primitives and introduce the idea of Hough Transform to develop a matching algorithm which does not require any local constraints during the matching process.
URL: https://global.ieice.org/en_transactions/information/10.1587/e77-d_11_1259/_p
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@ARTICLE{e77-d_11_1259,
author={Ming XIE, },
journal={IEICE TRANSACTIONS on Information},
title={3D Dynamic Stereovision: A Unified Approach for Stereo and Motion Matching without Local Constraints},
year={1994},
volume={E77-D},
number={11},
pages={1259-1261},
abstract={In this paper, we present an approach which is applicable to both the stereo and the motion correspondence problems. We take into account different representations of edge primitives and introduce the idea of Hough Transform to develop a matching algorithm which does not require any local constraints during the matching process.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - 3D Dynamic Stereovision: A Unified Approach for Stereo and Motion Matching without Local Constraints
T2 - IEICE TRANSACTIONS on Information
SP - 1259
EP - 1261
AU - Ming XIE
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E77-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 1994
AB - In this paper, we present an approach which is applicable to both the stereo and the motion correspondence problems. We take into account different representations of edge primitives and introduce the idea of Hough Transform to develop a matching algorithm which does not require any local constraints during the matching process.
ER -