pointclouds.org

gpu-voxels.org

GPU-Voxels » Compiling

http://www.gpu-voxels.org/documentation/compiling

Usage as a library. How can I build and use GPU-Voxels? The software is an interchangeable library (ICL) running within FZIs ic workspace. ic means, it can run in whatever environment, e.g. as a ROS-node, as a MCA-module or as a standalone program. ICLs are made to be platform independent. Therefore it should be possible to run gpu-voxels natively on the Mac. We never tried though…. We build it with FZIs. Which is a comfort layer on top of. Gpu voxels depends on the basic library. Cd build & cmake .

spacengineering.blogspot.com

space engineering: March 2012

http://spacengineering.blogspot.com/2012_03_01_archive.html

Andrew Peterson named Young Investigator. Peterson joined the Brown faculty in January. His primary research is devoted to figuring out how to produce carbon-based fuels from renewable sources. A key to such a breakthrough lies in overcoming the steep energy threshold needed to split carbon dioxide molecules into hydrocarbons. Peterson’s approach is to rely on quantum mechanics calculations to design catalysts to make those reactions more efficient and less costly. PROVIDENCE, R.I. The meeting takes plac...

computervisionblog.wordpress.com

Installing Asus Xtion on Ubuntu | the Serious Computer Vision Blog

https://computervisionblog.wordpress.com/2012/04/22/installing-asus-xtion-on-ubuntu

Life is a game, take it seriously. The Serious Computer Vision Blog. Installing Asus Xtion on Ubuntu. On April 22, 2012. Written by Gooly (Li Yang Ku). Researches using Kinect like sensors are currently hot. Kinect and Asus Xtion are both active point cloud sensors based on the OpenNI framework developed by PrimeSense, an Israel company. If you are not trying to play Xbox, I would highly recommend you to consider getting the Asus Xtion. The Xtion has the advantages that it is. If you received an error.

willowgarage.org

Point Cloud Library | Willow Garage

http://www.willowgarage.org/pages/software/pcl

The Point Cloud Library (or PCL. Is a large scale, open project for point cloud processing, started by Willow Garage, with the purpose to accelerate 3D algorithmic work in perception for use in robotic applications. The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation, to name a few. PCL is released under the terms of the BSD license. PointClouds.org - the home of PCL. May 31, 2011.

willowgarage.org

Overview | Willow Garage

http://www.willowgarage.org/pages/software/overview

Our mission is to help advance the state-of-the-art in autonomous robotics technologies. We believe that great advances in robotics will come from the open source robotics community. That is why we work hard to support and contribute to the open source robotics community. We're working on software from the lowest level with ROS (Robot Operating System). And Point Cloud Library (PCL). Perception libraries. And we are working on making physics simulators for robotics better with Gazebo. May 31, 2011. Yeste...

beki2012.wordpress.com

BeKi - Benchmark Kinect | The development of a 3D object benchmark using a low cost depth sensing camera | Page 2

https://beki2012.wordpress.com/page/2

BeKi – Benchmark Kinect. The development of a 3D object benchmark using a low cost depth sensing camera. October 19, 2012. October 17, 2012. October 4, 2012. Range scan captured using KinFu. August 1, 2012. July 19, 2012. I will yet try to use Arduino servos. If this solution proves too rugged or ineffective. That way I can exert control over the speed and power the device through a USB port. July 19, 2012. Today I managed to thoroughly test the Kinect and everything seems OK. July 19, 2012. Also today I...

davidstutz.de

Projects - David Stutz

http://davidstutz.de/projects

This page presents an extensive comparison of several state-of-the-art superpixel algorithms using an extended version of the Berkeley Segmentation Benchmark [2] as well as a new implementation of the superpixels algorithm called SEEDS [1]. Mdash; Extended Berkeley Segmentation Benchmark. Mdash; Superpixel Algorithms: Overview. Mdash; Berkeley Segmentation Dataset. Mdash; Nyu Depth V2 Dataset. Mdash; NYU Depth V2 Tools. Mdash; SEEDS Superpixels. Mdash; SLIC Superpixels. Mdash; DASP Superpixels. Kohana is...