Precise transparent and fused visualization of large-scale measured data based on 3D point clouds

2015 Fiscal Year Final Research Report

• Project/Area Number: 25280044
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: High performance computing
• Research Institution: Ritsumeikan University
• Principal Investigator: Tanaka Satoshi 立命館大学, 情報理工学部, 教授 (60251980)
• Co-Investigator(Kenkyū-buntansha): Nakata Susumu 立命館大学, 情報理工学部, 教授 (00351320) ; Hasegawa Kyoko 立命館大学, 情報理工学部, 助教 (00388109) ; Okamoto Atsushi 大手前大学, 史学研究所, 研究員 (30438585) ; Chen Yen-Wei 立命館大学, 情報理工学部, 教授 (60236841) ; Tanaka Hiromi 立命館大学, 情報理工学部, 教授 (10268154)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 半透明可視化 / 融合可視化 / 医用ボリュームデータ / レーザ計測データ

Outline of Final Research Achievements

In this research, we have developed a method by which we can transparently visualize 3D shapes described by (1) volume data of a human inner body measured by CT or MRI and (2) point cloud data of laser-scanned cultural heritage objects. Our method realizes the transparency by describing the 3D shapes by point clouds and applying our stochastic algorithm to them. Then, we can avoid the depth sort, which leads to large computation time and rendering artifacts that often occur in the conventional transparent rendering methods. Besides, we can easily realize volume-surface fused visualization without worrying about the rendering artifacts.

Free Research Field

可視化，コンピュータシミュレーション