https://docs.opencv.org/3.4/dd/d53/tutorial_py_depthmap.html
ABSTRACT:
RGB-D cameras are novel sensing systems that can rapidly provide accurate depth information for 3D perception, among which the
type based on active stereo vision has been widely used. However, there are some problems exiting in use, such as the short
measurement range and incomplete depth maps. This paper presents a robust and efficient matching algorithm based on semi-global
matching to obtain more complete and accurate depth maps in real time. Considering characteristics of captured infrared speckle images,
the Gaussian filter is performed firstly to restrain noise and enhance the relativity. It also adopts the idea of block matching for reliability,
and a dynamic threshold selection of the block size is used to adapt to various situation. Moreover, several optimizations are applied
to improve precision and reduce error. Through experiments on the Intel Realsense R200, the excellent capability of our proposed
method is verified.
https://isprs-annals.copernicus.org/articles/V-2-2021/107/2021/isprs-annals-V-2-2021-107-2021.pdf
Projectors for D400 Series Depth Cameras
In this white-paper we explore the questions of when, where, and why the Intel RealSense™ D4xx series of stereo-depth cameras need to use an optical projector, and more importantly, what performance benefits can be derived from optimizing the projector further or using external projectors.
https://dev.intelrealsense.com/docs/projectors
Industrial High-Power Flood Illuminator
Abstract
The EGA2000-940-UW is a small form factor surface mount infrared laser illuminator enabling a
variety of use cases for industrial mass market applications
https://www.mouser.de/datasheet/2/588/EGA2000_940_UW_Short_Datasheet_DS001015_2_00-2326921.pdf