#487 · Primary category: Computer Vision
VoxelHashing
[Siggraph Asia 2013] Large-Scale, Real-Time 3D Reconstruction
Project last updated:10/28/20
GitHub Stars
709
Forks
201
Contributors
3
License
Other
Why we included this project
This is the reference implementation of voxel hashing, the real-time 3D reconstruction technique from the Siggraph Asia 2013 paper by Nießner and colleagues. It shows how a spatial hash table keeps surface data compact and streams it in and out as the sensor moves, which makes it a solid baseline for anyone studying depth fusion or volumetric mapping. The code walks through the whole pipeline, from depth pre-processing and camera pose estimation to fusion and surface rendering, on commodity GPUs, so it works well as a teaching example of how consumer depth cameras become dense 3D models. Keep in mind it is a research prototype, not a library you drop into a project: it expects older toolchains like DirectX June 2010, the Kinect SDK, and CUDA 6.5, and ships under a non-commercial Creative Commons license. For study and experimentation it is still the clearest way to see the algorithmic ideas in action.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
opencv
Open Source Computer Vision Library
RuView
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
PaddleOCR
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
tesseract
Tesseract Open Source OCR Engine (main repository)