Human factor integration into the development of a realistic tree-rendering system based on lidar remote sensing

Ikuko Fujisaki; David L. Evans; Robert J. Moorhead; Mahnas Jean Mohammadi-Aragh; Derek W. Irby; Scott D. Roberts

doi:10.1117/12.524839

21 May 2004 Human factor integration into the development of a realistic tree-rendering system based on lidar remote sensing

Ikuko Fujisaki, David L. Evans, Robert J. Moorhead, Mahnas Jean Mohammadi-Aragh, Derek W. Irby, Scott D. Roberts

Author Affiliations +

Proceedings Volume 5291, Stereoscopic Displays and Virtual Reality Systems XI; (2004) https://doi.org/10.1117/12.524839
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

This paper introduces application of the Cave Automatic Virtual Environment (CAVE) to forest visualization and user studies which were designed to gain insight into human factors for system development. This interdisciplinary research project was undertaken by the Visualization, Analysis, and Imaging Laboratory and the Department of Forestry at Mississippi State University (MSU). The purpose was to create a forest management tool for remote examination of stands in a stereoscopic environment which allows users to observe and interact with realistic virtual stands. The datasets used in this study include measurements such as total height, Diameter at the Breast Height (DBH), and crown radii. The datasets were directly and indirectly generated from Light Detection and Ranging (LiDAR) data. The datasets from immature (eight-years-old) high density and mature (40-years-old) low density loblolly pine (Pinus taeda) stands were used to generate three types of tree models. These three models represent trees in different graphic-complexities and thus interactivity. In general, higher fidelity is preferred in visualization. However, there is a trade-off between graphic details and interaction speed. To determine an optimal model, a user study was designed to examine the influence photo-reality and interactivity have on the viewer's perception. Human subjects recruited from MSU's Department of Forestry will explore virtual stands rendered with one of the tree models in the CAVE and estimate forest parameters.

Citation Download Citation

Ikuko Fujisaki, David L. Evans, Robert J. Moorhead, Mahnas Jean Mohammadi-Aragh, Derek W. Irby, and Scott D. Roberts "Human factor integration into the development of a realistic tree-rendering system based on lidar remote sensing", Proc. SPIE 5291, Stereoscopic Displays and Virtual Reality Systems XI, (21 May 2004); https://doi.org/10.1117/12.524839

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