Eigen-model based 3D model recognition from cylindrical mapped image

Shiyu Li; I.R. Khan; M. Okuda; Y. Yamazaki; S. Takahashi

doi:10.1109/ICCCAS.2004.1346343

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Eigen-model based 3D model recognition from cylindrical mapped image

Shiyu Li, I.R. Khan, M. Okuda, Y. Yamazaki and S. Takahashi

2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914), Vol.2, pp.979-983 Vol.2

2004

DOI: https://doi.org/10.1109/ICCCAS.2004.1346343

Abstract

Data mining

Engine cylinders

Face recognition

Feature extraction

Geometry

Image databases

Image recognition

Shape

Solid modeling

Spatial databases

In this paper, we present a new method for 3D model recognition. Unlike other approaches, our model recognition is accomplished based on a plane which describes a 3D model and an eigen-model algorithm. By mapping a 3D model into a virtual cylinder around the model, we get the 3D model aspect information on an unfolded cylinder as a 2D image, which gives effective data format for feature extraction, selection and classifier design phases. We apply automatic optimal feature selection and a hierarchical database organization from the SHOSLIF algorithm to 3D object recognition.

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Details

Title: Eigen-model based 3D model recognition from cylindrical mapped image
Creators - without role: Shiyu Li - The University of Kitakyushu
I.R. Khan
M. Okuda
Y. Yamazaki
S. Takahashi
Publication Details: 2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914), Vol.2, pp.979-983 Vol.2
Publisher: IEEE
Identifiers: 9933045308331
Academic Unit: University of Jeddah
Language: English
Resource Type: Conference proceeding