kinfu_remake: Lightweight, reworked and optimized version of Kinfu.
An optimized, lightweight CUDA-based 3D reconstruction implementation derived from the original Kinfu algorithm.
What is kinfu_remake: Lightweight, reworked and optimized version of Kinfu.?
KinFu remake is an optimized and reworked implementation of the original Kinfu algorithm for real-time 3D reconstruction from depth sensors. It reconstructs 3D models using depth camera input with improved performance and cleaner code architecture. The project solves the need for a more efficient and maintainable version of the classic Kinfu algorithm while removing dependencies on specific libraries.
Computer vision researchers and developers working with real-time 3D reconstruction, particularly those using CUDA-enabled GPUs and depth sensing hardware like Kinect.
Developers choose this implementation for its 1.6x performance improvement over the original, cleaner codebase with runtime parameter configuration, and independence from specific library dependencies like PCL and OpenCV GPU module.
Overview
Optimized and reworked version of Kinfu
Use Cases
Best For
- Real-time 3D reconstruction from depth sensors
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