Shape and motion estimation from geometry and motion modeling

P. L. Bazin; N. M. Vezien

Shape and motion estimation from geometry and motion modeling

P. L. Bazin, N. M. Vezien

School of Medicine

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationship allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP estimation, that gives accurate and comprehensible results on real images.

Original language	English (US)
Pages (from-to)	1612-1619
Number of pages	8
Journal	IEICE Transactions on Information and Systems
Volume	E84-D
Issue number	12
State	Published - Dec 2001

Keywords

Estimation
Euclidian relations
Model-based
Motion modeling
Shape and motion

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Artificial Intelligence

Cite this

@article{63130e9d3bab471fbb9c144cfb3d6350,

title = "Shape and motion estimation from geometry and motion modeling",

abstract = "This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationship allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP estimation, that gives accurate and comprehensible results on real images.",

keywords = "Estimation, Euclidian relations, Model-based, Motion modeling, Shape and motion",

author = "Bazin, {P. L.} and Vezien, {N. M.}",

year = "2001",

month = dec,

language = "English (US)",

volume = "E84-D",

pages = "1612--1619",

journal = "IEICE Transactions on Information and Systems",

issn = "0916-8532",

publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",

number = "12",

}

TY - JOUR

T1 - Shape and motion estimation from geometry and motion modeling

AU - Bazin, P. L.

AU - Vezien, N. M.

PY - 2001/12

Y1 - 2001/12

N2 - This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationship allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP estimation, that gives accurate and comprehensible results on real images.

AB - This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationship allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP estimation, that gives accurate and comprehensible results on real images.

KW - Estimation

KW - Euclidian relations

KW - Model-based

KW - Motion modeling

KW - Shape and motion

UR - http://www.scopus.com/inward/record.url?scp=0035671142&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035671142&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0035671142

SN - 0916-8532

VL - E84-D

SP - 1612

EP - 1619

JO - IEICE Transactions on Information and Systems

JF - IEICE Transactions on Information and Systems

IS - 12

ER -

Shape and motion estimation from geometry and motion modeling

Abstract

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this