Tag: 3D

Leapfrog’s Fast RBF™

This is the fourth history blog in a six part series – Leapfrog’s fast RBF. If you missed part three, Modelling in full 3D, you can find it here.

In 1999 work began on new surfacing algorithms so that an RBF implicit model could be utilised by conventional computer graphics packages. This meant converting an implicit RBF model into meshes of triangles and piecewise continuous spline surfaces.

The main difference between traditional RBF’s and what became ARANZ’s FastRBF™ is the ability to deal with large datasets of well over 1,000,000 points on ordinary computing hardware incredibly quickly. The maths used to speed up the calculation was initially used in particle physics. Filtering and approximation methods make Fast RBF™ ideal for visualising and processing non-uniformly sampled noisy data. FastRBF™ has extraordinary extrapolation capabilities, even when large gaps occur in a data set.

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Modelling in full 3D

This is the third history blog in a six part series – Modelling in full 3D. If you missed part two, Medicine, movies and outer space!, you can find it here.

In 1996 in pursuit of more mathematically robust meshes ARANZ rekindled their close collaboration with mathematician Rick Beatson. This motivated the extension of his fast RBF methods to modelling full 3D data and a new way of describing the surfaces of objects implicitly using a ‘signed-distance’ function.

Says ARANZ Geo founder Rick Fright, “Having got the scanner working, and gathered scattered point measurements from the surface of a 3D object, we realised we had an even bigger problem of reconstructing a complete and continuous surface model. So we got back in touch with Rick Beatson.”

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Medicine, movies and outer space!

Leapfrog in Medicine, Movies and Outer Space

This is the second history blog in a six part series. If you missed part one, In the beginning, you can find it here.

In 1995, the success of the 3D ultrasound and laser scanning research prompted Rick Fright to start Applied Research Associates Ltd (ARANZ) along with friend and former fellow student Bruce McCallum (Electrical Eng.), Mark Nixon (medical doctor) and Brent Price (from Med Physics). Together they hit on the idea of a hand-held portable laser scanner, which allowed almost any solid object’s surface to be acquired and represented, initially, as a mesh of triangles.

A hand-held portable laser scanner being used on a troll model for Lord of the Rings.

A hand-held portable laser scanner being used on a troll model for Lord of the Rings.

These meshes were adequate for many applications, including the movie industry, where the scanner was very successful in computer animation and utilised in numerous films from the Lord of the Rings trilogy to the Star Wars prequels.

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Leapfrog Geo significantly advanced in 2014

It has been a big year for Leapfrog Geo with the release of version 2.0 and 2.1. Significantly advanced in 2014, taking your modeling to new heights.

Significantly advanced in 2014. Let’s look at the major new features.

2.0 for advanced vein modelling

2.0 did not disappoint when it was released in July. With the most superior vein modelling in the industry, feedback from users has confirmed we were right to get excited. After all, when Product Manager Tim Schurr, described the vein modelling as ‘simply beautiful,’ we knew it was something special. So if you haven’t already tried out 2.0 what exactly are you missing?

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Drillhole planning in Leapfrog Geo

By Andrew Cantwell

One of the major costs of an exploration project is the drilling program. Planning drillholes in 3D based on existing knowledge is an easy way to maximise the value of any future drilling, and can be achieved quickly and easily in Leapfrog Geo. This blog post will take you through the steps required to plan a drilling campaign in Leapfrog Geo, then set up a scene file so the field team can see where each drillhole should be going, as well as what lithology and grade it is expected to intercept, in 3D.

  • The first step is to define your project area – a good start is to import any existing data. This could include a topography surface, any existing drillholes, an aerial photograph or geological map, and GIS data such as lakes, rivers, access roads and tenement boundaries.
  • Once you have imported the existing data, you’ll be able to start visualising in 3D where an appropriate location is to place your collar. If you’ve created any geological or grade models, you can also visualise where your potential target is.
  • To create a planned drillhole, right click on the ‘Planned Drillholes’ folder, and click ‘Plan Drillhole’.
  • There are two options you can choose; you can either specify a collar location or a target location. We’ll specify a collar location as it is more common to have a known point on the topography to place your collar.

Example 1.

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