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Acquisition, Restoration and Compression of 3D Geometric Data

Research Project

Project/Area Number 18K11385
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 61010:Perceptual information processing-related
Research InstitutionNational Institute of Informatics

Principal Investigator

CHEUNG GENE  国立情報学研究所, コンテンツ科学研究系, 准教授 (40577467)

Project Period (FY) 2018-04-01 – 2019-03-31
Project Status Discontinued (Fiscal Year 2018)
Budget Amount *help
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
KeywordsPoint Cloud Denoising / 3次元画像処理 / グラフ信号処理
Outline of Annual Research Achievements

The focus of this research period is in the denoising of 3D point cloud. A point cloud is a collection of non-uniform discrete samples of 3D geometry of a physical object, such as human body.
Leveraging on recent advances in graph signal processing, in our approach we design a graph-based regularization term called reweighted graph Laplacian regularization (RGLR) to regularize an otherwise ill-posed inverse problem. RGLR has a number of desirable properties, including: i) rotation-invariant, ii) promotion of piecewise-smoothness, and iii) fast optimization, where the RGLR can be computed efficient via iterative quadratic programming. Experimental results show that compared to existing point cloud denoising schemes, our proposed RGLR-based scheme has better performance at lower complexity.

Report

(1 results)
  • 2018 Annual Research Report
  • Research Products

    (1 results)

All 2018

All Presentation (1 results) (of which Int'l Joint Research: 1 results,  Invited: 1 results)

  • [Presentation] Recent Advances in Graph Spectral Image Processing2018

    • Author(s)
      Gene Cheung
    • Organizer
      Graph Signal Processing Workshop
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited

URL: 

Published: 2018-04-23   Modified: 2019-12-27  

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