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