NDLI: The automatic generation of 3D object model from range image

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Bayesian restoration of millimeter wave imagery

Divergence penalty for image regularization

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Global non-linear multigrid optimization for image analysis tasks

Robust N-dimensional orientation estimation using quadrature filters and tensor whitening

A focusing algorithm for the optical array imaging system

The automatic generation of 3D object model from range image

Rate buffered fractal video

Efficient prediction of uncovered background in interframe coding using spatial extrapolation

Subband video coding with temporally adaptive motion interpolation

Rate and resolution scalable subband coding of video

Library-based image coding

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Simultaneous confidence intervals for image reconstruction problems

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Adaptive multi-feature motion estimation

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Nonuniform image motion estimation using Kalman filtering

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A new methodology for Fourier synthesis-Fourier Interpolation and Reconstruction via Shannon-type Techniques: FIRST

ISARLAB: a radar signal processing tool

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Conversion of scanned documents to the open document architecture

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The automatic generation of 3D object model from range image

Content Provider	IEEE Xplore Digital Library
Author	Wentao Zheng Harashima, H.
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. Eng., Tokyo Univ., Japan (Wentao Zheng; Harashima, H.)
Abstract	This paper presents an algorithmic procedure for the generation of a 3D wireframe model from range image. The basic idea is to represent a surface by dominant points which have important shape attributes. To determine dominant points, we propose a criterion based on 3D invariant characteristics of surfaces, which we call mean-square curvature. This quantity has some desirable properties and, compared to conventional Gaussian curvature or mean curvature, is more suitable for dominant point selection. It also allows a physical explanation. The 3D wireframe model is constructed by detecting dominant points followed by triangulating them in 3D space. The algorithms are tested on a real range image and the results are shown.<>
File Size	295998
File Format	PDF
ISBN	0780317750
ISSN	15206149
DOI	10.1109/ICASSP.1994.389459
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-04-19
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character generation Shape Petroleum Testing Graphics Object recognition Data mining Gaussian noise Tin
Content Type	Text
Resource Type	Article

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