NEXTENGINE SCANSTUDIO HD PRO DOWNAD SOFTWARE
NEXTENGINE SCANSTUDIO HD PRO DOWNAD PC

Fifty-two overlapping scans (~2.0 GB in size) were saved. Scans were rough aligned within ScanStudioв„ў. Multiple scan angles were required to capture all internal track surfaces and minimize occluded surfaces. Data capture was focused primarily on the track impression and not on the peripheral surface of the limestone block. A surface attributes setting (light - dark) of 60% and matte surface were determine experimentally to give optimum color fidelity and surface capture. To ensure the greatest resolution, the NextEngineв„ў was set to HD (high definition), a tolerance of 0.13 mm, and a smoothing level of one. The optimum recording distance from the scanner to the footprint was between 400 mm to 480 mm, measured before each scan. A tent was required to control lighting and maximize laser contrast ( Figure 3.2).Д«ased on the large size of the track (640 mm x 430 mm), precision was set to wide mode for single scans, capturing a view approximately 250 by 330 mm.

NEXTENGINE SCANSTUDIO HD PRO DOWNAD PC

The scanner and pc were powered from outlets available on the bandstand.

NEXTENGINE SCANSTUDIO HD PRO DOWNAD SOFTWARE

We employed a NextEngineв„ў HD Desktop 3D scanner and ScanStudioв„ў HD PRO software (NextEngineв„ў 2008,ДЇigure 3.1) running on a standard Windows XP 32 laptop. Although casts have been used successfully for replication and distribution of fossils, including tracks, recent advances in 3D digitizing technology provide a high fidelity, low cost means of producing facsimiles that can be used in a variety of ways.ДЇigure 2 provides an overview of the process employed to achieve our aforementioned goals.

one-on-one and group consultations, workshops, guest lectures and presentationsД¬URVE stands outВ as a resource on the Georgia State University campus for investigators in all disciplines and at all levels.Producing casts by traditional techniques, such as rubber or silicon molds, were rejected due to cost of material, labor, limited life span, storage issues, and potential damage to the track.

the latest geospatial and visualization tools for analyzing the complex challenges of cities, connecting Atlanta with the world.

access to specialty software packages for quantitative, qualitative, and spatial data analysis.

visualization and modeling software, high-end graphics processors, and immersive large-scale displays.

21 st century investigators who seek to bridge quantitative and qualitative methods, creativity, and diverse modes of inquiry.

engaged learners and researchers with an interest in making new connections with spatial and numeric data, digital media, and human narrative, bridging the arts and sciences.

budding researchers (undergraduates), graduate students, and expert researchers from multiple disciplines in a shared, hands-on, interactive research environment.

Over 10,000 students visit the University Library every day, with well over 1.5 million visits per year. CURVE: Collaborative University Research & Visualization Environment is an ambitious and innovative project to create a technology-rich discovery space and digital scholarship center within Georgia State University Library.ДЄt the heart of the Georgia State University campus, the University Library is engaging students, faculty, and staff by connecting them with data sets, unique visualization hardware and software, and the latest online research tools.

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