Archives for posts with tag: pointClouds

Particles are an important part of effects work, because they allow free-form information in 3D space. Unfortunately, there is no standard format for particles akin to Wavefront .obj. Most animation systems have their own proprietary particle formats. For example Maya uses the binary and ascii particle database formats .pdb and .pda file formats. Houdini uses the .geo and .bgeo geometry uber formats. Renderers typically have their own point cloud format such as RenderMan’s PTC format and Houdini’s .pc. All of these formats share a common theme. They allow particles to be iterated or indexed and associate a customizable set of attributes with them. The goal of Partio is to provide a unified interface akin to unified image libraries that makes it easier to load, save, and manipulate particle files.

Home Page: http://www.disneyanimation.com/technology/partio.html
Project Page: https://github.com/wdas/partio
Language: C++ Python
Platform: Linux, OSX, Windows
License: New BSD
Sponsor: Walt Disney Animation Studios

Jupiter Skin is a project container for several skin shaders developed by /*jupiter jazz*/.

At the moment this project features the following shaders:

  • Jupiter SGI Skin

Jupiter Spherical Gradient Illumination Skin is a 3Delight RenderMan shader that reads scanned RGB world space normal maps for 3 different wavelengths (red, green, blue), and a fourth normal map to be used in the specular term.

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Project Page: http://code.google.com/p/jupiterskin/
Language: Renderman Shading Language
Platform: Linux, OSX, Windows
License: New BSD License
Sponsor: Jupiter Jazz

The RmanPtcSop project is a Houdini geometry operator (SOP) for loading and displaying RenderMan point clouds. It is based on the open source dnPtcViewerNode project from Double Negative Visual Effects.

Features of the rmanPtc SOP include:

  • Independent control for limiting the number of points loaded and displayed.
  • Geometry output for all point attributes in the cloud.
  • OpenGL display preview for attributes as point or disk primitives.
  • Ability to cull points based on a reference bounding box.

Home Page: http://danbethell.github.com/rmanptcsop/
Language: C++
Platform: Linux, Windows, OS X
License: New BSD License

ANN – Approximate Nearest Neighbor Searching – is a library written in C++, which supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.

In the nearest neighbor problem a set of data points in d-dimensional space is given. These points are preprocessed into a data structure, so that given any query point q, the nearest or generally k nearest points of P to q can be reported efficiently. The distance between two points can be defined in many ways. ANN assumes that distances are measured using any class of distance functions called Minkowski metrics. These include the well known Euclidean distance, Manhattan distance, and max distance. (more…)

Project Page: http://www.cs.umd.edu/~mount/ANN/
Language: C++
Platform: Linux, Windows, OS X
License: LGPL

The Computational Geometry Algorithms Library (CGAL) offers data structures and algorithms like triangulations (2D constrained triangulations and Delaunay triangulations in 2D and 3D, periodic triangulations in 3D), Voronoi diagrams (for 2D and 3D points, 2D additively weighted Voronoi diagrams, and segment Voronoi diagrams), polygons (Boolean operations, offsets, straight skeleton), polyhedra (Boolean operations), arrangements of curves and their applications (2D and 3D envelopes, Minkowski sums), mesh generation (2D Delaunay mesh generation and 3D surface and volume mesh generation, skin surfaces), geometry processing (surface mesh simplification, subdivision and parameterization, as well as estimation of local differential properties, and approximation of ridges and umbilics), alpha shapes, convex hull algorithms (in 2D, 3D and dD), search structures (kd trees for nearest neighbor search, and range and segment trees), interpolation (natural neighbor interpolation and placement of streamlines), shape analysis, fitting, and distances (smallest enclosing sphere of points or spheres, smallest enclosing ellipsoid of points, principal component analysis), and kinetic data structures.

Home Page: http://www.cgal.org/
Project Page: http://www.cgal.org/
Language: C++
Platform: Linux, Mac OS X, Windows
License: LGPL or QPL (if used for open source projects, or proprietary projects that are internal to the studio), or a commercial license (if distributed in a commercial product).