Understanding Libfreenect 2
Exploring Libfreenect 2 reveals several interesting facts. libfreenect 2
Key Takeaways about Libfreenect 2
- Testing MIcrosoft Kinect v1 with
- The goal is to map the facial region of interest using openCV and extract the region in Pointcloud. Using ROS pointcloud to ...
- Performance without desktop environment is 70Hz for depth (512x424) and 60Hz for RGB (1920x1080). Code available at ...
- Demonstration of PCL.jl (https://github.com/r9y9/PCL.jl) with Kinect
- The code partly adapted from below links; Object Detection (SURF, Surf_CUDA, knnMatch,RANSAC) 1) ...
Detailed Analysis of Libfreenect 2
Walkthrough of installing Kinect v2 point cloud on linux with Near Real Time Object Detection and Tracking with SURF,KNN,FLANN,OpenCV 3.2, CUDA 7.5,
This is a recording of kinect-example which is part of coolbot-kinect-bundle. More info in www.coolbotproject.org.
Stay tuned for more updates related to Libfreenect 2.
