Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System

3D reconstruction from Meta Quest passthrough and depth via Reality Capture app, with Open3D/TSDF, COLMAP/Nerfstudio export, and Gaussian Splatting prep.

An open source program for generating 3D keypoint files with an Intel RealSense depth camera and OpenPose

iOS 15.4 AVFoundation LiDAR sensor + MIDI notes = depth-based augmented reality music visualization as the music is being played

GPU Realtime depth passive stereo sensing using ADCensus

PatchMatch Stereo with Red-Black modifiaction and Row Parallel modification for massively parallel computing

Real-time 3D room reconstruction on Meta Quest 3. GPU TSDF integration, GPU Surface Nets meshing, passthrough camera texturing, on-device texture refinement (xatlas UV unwrap + compute shader atlas baking), Gaussian Splat training & rendering, and package-based multi-scan persistence with OVRSpatialAnchor relocation. Unity 6 URP package.

Demonstration of real time depth estimation on the browser without depth sensors in Three.Js and A-Frame using machine learning models FastDepth and others.

EMAR Mini is an open-source Emergency Assistance Robot protptype. The project is a proof of concept designed to assist doctors, nurses and hospital staff during the situations similar to the COVID-19 pandemic that we may face in the future.

Accurate depth sensing with computer vision and live LIDAR point-cloud data.

AI-based 3D depth sensing from stereo vision systems

Software wrappers for LISPedge camera and SDK.

Nondestructive depth sensing for maize ear yield prediction from RGB+depth images

SafeBubble — real-time depth-aware safety bubble for wearable RGB+Depth (YOLOv8 + Intel RealSense, TTC alerts & visualization)

3D scanning software designed to convert real-world objects into detailed 3D models using low-cost depth sensors, such as the Kinect or other similar devices. The software captures the geometry and texture of objects or environments by creating a point cloud, which can then be processed into a mesh.

More LIPSedge SDK samples written in OpenNI2 programming interface to demonstrate LIPSedge camera functions and features.