Estimation of Three-Dimensional Object Orientation for Computer Vision Systems with Feedback

W. C. Lin; K. S. Fu; T. Sederberg

doi:10.1002/rob.4620010105

Estimation of Three-Dimensional Object Orientation for Computer Vision Systems with Feedback

W. C. Lin, K. S. Fu, T. Sederberg

Electrical and Computer Engineering

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

3 Scopus citations

Abstract

The determination of orientation information of a 3D object is a crucial step in hypothesis-verification approach to object recognition. In this paper. two approaches are presented to estimate the orientation parameters of a 3D object from a single image. The first one is based on camera model estimation and analysis. The second one is a hierarchical search method. Simulation experiments are conducted to evaluate the performance of the estimations.

Original language	English
Pages (from-to)	59-82
Journal	Journal of Robotic Systems
Volume	1
DOIs	https://doi.org/10.1002/rob.4620010105
State	Published - 1984

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@article{c75536a1c4ef43ff9ddb444541b0a748,

title = "Estimation of Three-Dimensional Object Orientation for Computer Vision Systems with Feedback",

abstract = "The determination of orientation information of a 3D object is a crucial step in hypothesis-verification approach to object recognition. In this paper. two approaches are presented to estimate the orientation parameters of a 3D object from a single image. The first one is based on camera model estimation and analysis. The second one is a hierarchical search method. Simulation experiments are conducted to evaluate the performance of the estimations.",

author = "Lin, {W. C.} and Fu, {K. S.} and T. Sederberg",

year = "1984",

doi = "10.1002/rob.4620010105",

language = "English",

volume = "1",

pages = "59--82",

journal = "Journal of Robotic Systems",

issn = "0741-2223",

publisher = "John Wiley & Sons Inc.",

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T1 - Estimation of Three-Dimensional Object Orientation for Computer Vision Systems with Feedback

AU - Lin, W. C.

AU - Fu, K. S.

AU - Sederberg, T.

PY - 1984

Y1 - 1984

N2 - The determination of orientation information of a 3D object is a crucial step in hypothesis-verification approach to object recognition. In this paper. two approaches are presented to estimate the orientation parameters of a 3D object from a single image. The first one is based on camera model estimation and analysis. The second one is a hierarchical search method. Simulation experiments are conducted to evaluate the performance of the estimations.

AB - The determination of orientation information of a 3D object is a crucial step in hypothesis-verification approach to object recognition. In this paper. two approaches are presented to estimate the orientation parameters of a 3D object from a single image. The first one is based on camera model estimation and analysis. The second one is a hierarchical search method. Simulation experiments are conducted to evaluate the performance of the estimations.

U2 - 10.1002/rob.4620010105

DO - 10.1002/rob.4620010105

M3 - Article

SN - 0741-2223

VL - 1

SP - 59

EP - 82

JO - Journal of Robotic Systems

JF - Journal of Robotic Systems

ER -

Estimation of Three-Dimensional Object Orientation for Computer Vision Systems with Feedback

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