4 karma · joined September 23, 2022
Night Vision App utilizes your device's LiDAR camera to explore the magic of the night. Offering a deep visual experience, it allows you to capture stunning images and videos, opening up new ways to perceive the world!
You can search for "Night Vision" on the App Store to download it, or click the link to download: https://apps.apple.com/app/id1668629667
Principle:
In well-lit environments, the device uses the rear standard camera in conjunction with the LiDAR Scanner or TrueDepth Camera for imaging to ensure optimal image quality. However, in completely dark environments, imaging is solely handled by the rear LiDAR scanner or infrared camera.
Supported devices:
All Apple devices with LiDAR scanning capabilities or the Face ID feature are supported.
The new version fully leverages the night vision capabilities of Apple's sensors, applicable to all Apple devices that support Face ID.
The Point Cloud Library (PCL) is a large scale, open project for 2D/3D image and point cloud processing. The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation. PCL has its own data format for storing point clouds - PCD (Point Cloud Data), but also allows datasets to be loaded and saved in many other formats.
A point cloud is a set of data points in space. The points may represent a 3D shape or object. Each point position has its set of Cartesian coordinates (X, Y, Z). Point clouds are generally produced by Lidar(light detection and ranging) or by photogrammetry software, which measure many points on the external surfaces of objects around them.
Github: https://github.com/luoxuhai/pcl.js
Website: https://pcljs.org
Demos:
1. Remove point cloud outliers: https://kl2zjs.csb.app
2. Extract point cloud key points: https://3l6tfj.csb.app