Support for world coordinates

This is a feature that I myself have desperately wanted. The ability to save the points in world coordinates rather than local sensor coordinates. With the new version 1.0.8 ( HEAD 3e580cabd9 ) I have added a new option that will transform the points into world coordinates. This is also true for the pointcloud that is added to the blender scene, thus the pointcloud will be placed exactly on the surface of the object that has been scanned.

Pointcloud rendering with Blender

This may not be the most common usage scenario for Blender but if you want to visualize pointcloud data coming for example from a LIDAR scanner or a Kinect or whatever 3D scanning device you are using you are basically out of luck. This is because point clouds have no volume, no faces, and no edges. There is of course the naive approach to use halos but they either are too strong or not visible at all (if the pointcloud is too big).

BlenSor 1.0.7 alpha released

- Windows binary release update
- Update to Blender 2.60a
- Resolution of the Time of Flight camera can be changed (for now Windows version only)

Blensor 1.0.6 released

 * Added support for PCD output (Preferred format for the pointcloud library)

Moving development to github

We finally moved the devlopment from a private repository to github. This means everybody can check out the code even before we upload new releases.

The repository can be found at:

Blender 1.0.5 alpha released

Update to blender 2.59

Blender 1.0.3 Alpha released

This release adds support for Windows.
It is also a maintenance release against Blender 2.58.

Blender 1.0.1 Alpha released

* Added support for reflections
* Added Parameters to control the sensitivity of the LIDAR 
* Added which provides an easy way to add pointclouds from your own code
Blensor can be downloaded here.

Blender 1.0 Alpha released

Release Log
Release Version: 1.0 alpha

Features implemented:
* ToF Camera
 - Simple noise model
 - Back-folding
 - Support for per-ray object id
* Velodyne 
 - Non uniformly distributed lasers (based on our own laser calibration)
 - Per-laser noise
 - Per-ray noise
 - Adjustable rotation speed
 - Support for different start/end angles
 - Support for per-ray object id
* IBEO Lux
 - Per-laser noise
 - per-ray noise
 - The diversion of ray by the rotating mirror is simulated
 - Support for different start/end angles
 - Support for per-ray object id
* Depthmap
* Export Motion Data

LIDAR Obstacle Detection

As a first application of BlenSor, we will release full source for our own implementation of the MIT approach towards obstacle detection during the DARPA Urban Challenge 2007. We will evaluate terrain height estimation, obstacle detection and the calculation of shape descriptors for each object.


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