Interactive 3D Force-Directed Edge Bundling

2016 ◽  
Vol 35 (3) ◽  
pp. 51-60 ◽  
Author(s):  
D. Zielasko ◽  
B. Weyers ◽  
B. Hentschel ◽  
T. W. Kuhlen
Keyword(s):  
Directed Edge ◽  
Interactive 3D ◽  
Edge Bundling

scholarly journals Clarifying Origin-Destination Flows Using Force-Directed Edge Bundling Layout

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 62572-62583
Author(s):  
Liangkui Luo ◽  
Zhaocheng He ◽  
Yuhuan Lu ◽  
Jinyong Chen
Keyword(s):  
Directed Edge ◽  
Edge Bundling

Force-Directed Edge Bundling for Graph Visualization

2009 ◽  
Vol 28 (3) ◽  
pp. 983-990 ◽  
Author(s):  
Danny Holten ◽  
Jarke J. van Wijk
Keyword(s):  
Graph Visualization ◽  
Directed Edge ◽  
Edge Bundling

Données LiDAR aériennes: pertinence de l'interprétation visuelle pour la foresterie

2017 ◽  
Vol 168 (3) ◽  
pp. 127-133
Author(s):  
Matthew Parkan
Keyword(s):  
Cross Sections ◽  
Forest Edge ◽  
Airborne Lidar ◽  
Visual Interpretation ◽  
Individual Tree ◽  
Small Areas ◽  
Interactive 3D ◽  
The Individual ◽  
Airborne Lidar Data ◽  
Stem Position

Airborne LiDAR data: relevance of visual interpretation for forestry Airborne LiDAR surveys are particularly well adapted to map, study and manage large forest extents. Products derived from this technology are increasingly used by managers to establish a general diagnosis of the condition of forests. Less common is the use of these products to conduct detailed analyses on small areas; for example creating detailed reference maps like inventories or timber marking to support field operations. In this context, the use of direct visual interpretation is interesting, because it is much easier to implement than automatic algorithms and allows a quick and reliable identification of zonal (e.g. forest edge, deciduous/persistent ratio), structural (stratification) and point (e.g. tree/stem position and height) features. This article examines three important points which determine the relevance of visual interpretation: acquisition parameters, interactive representation and identification of forest characteristics. It is shown that the use of thematic color maps within interactive 3D point cloud and/or cross-sections makes it possible to establish (for all strata) detailed and accurate maps of a parcel at the individual tree scale.

Interactive 3D Visualization with Dual Leap Motions

2018 ◽  
Vol 30 (7) ◽  
pp. 1268 ◽  
Author(s):  
Guodao Sun ◽  
Puyong Huang ◽  
Yipeng Liu ◽  
Ronghua Liang
Keyword(s):  
3D Visualization ◽  
Interactive 3D

scholarly journals Interactive 3D volume rendering in biomedical publications

Micron ◽  
2010 ◽  
Vol 41 (7) ◽  
pp. 886.e1-886.e17 ◽  
Author(s):  
Bernhard Ruthensteiner ◽  
Natalie Baeumler ◽  
David G. Barnes
Keyword(s):  
Volume Rendering ◽  
Interactive 3D ◽  
Biomedical Publications ◽  
3D Volume ◽  
3D Volume Rendering

Interactive 3D displays

Displays ◽  
1991 ◽  
Vol 12 (2) ◽  
pp. 110
Author(s):  
Tencor Instruments
Keyword(s):  
3D Displays ◽  
Interactive 3D

scholarly journals Virtual Loom: a tool for the interactive 3D representation of historical fabrics

2021 ◽  
Author(s):  
Cristina Portalés ◽  
Manolo Pérez ◽  
Pablo Casanova-Salas ◽  
Jesús Gimeno
Keyword(s):  
Art History ◽  
3D Modelling ◽  
Current Version ◽  
Close Collaboration ◽  
Design And Implementation ◽  
Different Types ◽  
Interactive 3D ◽  
Silk Fabrics ◽  
Definition Of ◽  
3D Representations

Abstract3D modelling of man-made objects is widely used in the cultural heritage sector, among others. It is relevant for its documentation, dissemination and preservation. Related to historical fabrics, weaves and weaving techniques are still mostly represented in forms of 2D graphics and textual descriptions. However, complex geometries are difficult to represent in such forms, hindering the way this legacy is transmitted to new generations. In this paper, we present the design and implementation of SILKNOW’s Virtual Loom, an interactive tool aimed to document, preserve and represent in interactive 3D forms historical weaves and weaving techniques of silk fabrics, dating from the 15th to the 19th centuries. To that end, our tool only requires an image of a historical fabric. Departing from this image, the tool automatically subtracts the design, and allows the user to apply different weaves and weaving techniques. In its current version, the tool embeds five traditional weaving techniques, 39 weaves and six types of yarns, which have been defined thanks to close collaboration of experts in computer graphics, art history and historical fabrics. Additionally, users can change the color of yarns and produce different 3D representations for a given fabric, which are interactive in real time. In this paper, we bring the details of the design and implementation of this tool, focusing on the input data, the strategy to process images, the 3D modelling of yarns, the definition of weaves and weaving techniques and the graphical user interface. In the results section, we show some examples of image analysis in order to subtract the design of historical fabrics, and then we provide 3D representations for all the considered weaving techniques, combining different types of yarns.

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