BEIJING, Jan. 20,
2023 /PRNewswire/ -- MicroCloud Hologram Inc.
(NASDAQ: HOLO) ("HOLO" or the "Company"), a Hologram Digital Twins
Technology provider, today announced that it developed a point
cloud denoising algorithm for the real-time 3D holographic
reconstruction of single-photon LiDAR data. The algorithm is the
result of the Company's independent research and development, which
is conducive to further improving the Company's intellectual
property protection system, maintaining its technological
leadership, and enhancing its core competitiveness.
Although 3D holographic LiDAR point cloud imaging continues to
evolve rapidly, currently available computational imaging
algorithms are often too slow, insufficiently detailed, or require
extremely high arithmetic power, and even CNN-based (convolutional
neural network) algorithms for estimating scene depth struggle to
meet real-time requirements after training. HOLO proposes a new
algorithm structure that meets the requirements of speed,
robustness, and scalability. The algorithm applies a point cloud
denoising tool for computer graphics and can efficiently model the
target surface as a 2D manifold embedded in 3D space. This
algorithm can merge information about the observed model, such as
Poisson noise, the presence of bad pixels, compressed sensing, etc.
This algorithm also uses stream modeling tools for computer
graphics and can process tens of frames per second by selecting
massively parallel noise reducers. HOLO's algorithm consists of
three main steps: depth update, intensity update, and background
update.
Depth update: Gradient steps are taken for depth variables with
point clouds denoised using the point set surface algorithm. The
update is operated in a coordinate system in 3D holographic space.
Adaptation is performed on smooth continuous surfaces under the
control of the kernel. In contrast to conventional depth image
denoising, HOLO's point cloud denoising can handle an arbitrary
number of surfaces per pixel, regardless of the format. In
addition, all 3D points are processed in parallel, resulting in
short computing times. In addition, all 3D points are processed in
parallel, significantly reducing computing time.
Intensity update: Gradient steps are taken by targeting the
coordinates of individual pixels in 3D holographic space to reduce
noise. In this way, only the correlation between points within the
same surface needs to be considered. The nearest low-pass filter is
used for each point. This step considers only local correlations
and processes all points in parallel. After the denoising step,
points below a given intensity threshold, i.e., the minimum
permissible reflectance, are removed.
Background update: This depends on the characteristics of the
LiDAR system and is similar to intensity and depth updates. In a
double-Bragg-grating scanning system, the laser source and the
single photon detector are not coaxial, and the background counts
are not necessarily spatially correlated. Therefore, no spatial
regularization is applied to the background, in which case the
noise reduction operation is simplified to a constant equation.
Background detection is similar to passive images in
single-Bragg-grating scanning systems and LiDAR arrays. In this
case, spatial regularization helps to improve the estimated value.
Therefore, an off-the-shelf image-denoising algorithm with low
computational complexity can be used.
HOLO's real-time 3D holographic reconstruction based on single
photon data adopts a new computational framework. This framework
allows the 3D reconstruction of complex outdoor scenes with a
processing time of about 10-20 milliseconds by combining
statistical models with highly expandable computational tools of
computer imaging technology. The algorithm developed by HOLO can
handle every pixel surface, allowing target detection and imaging
in complex scenes. It also enables stable real-time target
reconstruction of complex moving scenes, paving the way for
implementing video-rate single photon LiDAR technology for 3D
holographic imaging applications.
3D holographic scene reconstruction has many applications, such
as autonomous navigation and environmental detection. It has
several subdivision fields, such as RGB-D sensors for emissivity
imaging, stereo imaging, or full waveform LiDAR 3D holographic
imaging. HOLO's single photon LiDAR technology solution has several
outstanding advantages over traditional solutions. It is a safe
laser light source with low power consumption and high sensitivity
and enables the reconstruction of high fractional 3D holographic
images in high scattering underwater environments or extremely
foggy environments.
HOLO has been an industry leader in point cloud algorithms for
holographic LiDAR and a service provider for many well-known new
energy vehicle companies, as well as ADAS vehicle control system
integrators and device developers. HOLO cooperates with automotive
manufacturers in exploring advanced technologies and is seeking
comprehensive digital sensing solutions to accelerate and scale the
adoption of its autonomous driving technologies. HOLO's holographic
LiDAR leverages this market trend to provide an excellent solution
for large-scale autonomous driving mass production.
About MicroCloud Hologram Inc.
MicroCloud Hologram Inc. (NASDAQ:HOLO) engages in the research
and development, and application of holographic technology.
MicroCloud Hologram technology services include holographic light
detection and ranging (LiDAR) solutions based on holographic
technology, holographic LiDAR point cloud algorithms architecture
design, technical holographic imaging solutions, holographic LiDAR
sensor chip design, and holographic vehicle intelligent vision
technology to service customers that provide holographic advanced
driver assistance systems (ADAS). MicroCloud Hologram provides its
holographic technology services to its customers worldwide.
MicroCloud Hologram also provides holographic digital twin
technology services and has a proprietary holographic digital twin
technology resource library. MicroCloud holographic digital twin
technology resource library captures shapes and objects in 3D
holographic form by utilizing a combination of holographic digital
twin software, digital content, spatial data-driven data science,
holographic digital cloud algorithm, and holographic 3D capture
technology.
Safe Harbor Statements
This press release contains "forward-looking statements" within
the meaning of the Private Securities Litigation Reform Act of
1995. These forward-looking statements can be identified by
terminology such as "will," "expects," "anticipates," "future,"
"intends," "plans," "believes," "estimates" and similar statements.
Statements that are not historical facts, including statements
about the Company's beliefs and expectations, are forward-looking
statements. Among other things, the business outlook and quotations
from management in this press release, as well as the Company's
strategic and operational plans, contain forward−looking
statements. The Company may also make written or oral
forward−looking statements in its periodic reports to the U.S.
Securities and Exchange Commission ("SEC") on Forms 20−F and 6−K,
in its annual report to shareholders, in press releases and other
written materials and in oral statements made by its officers,
directors or employees to third parties. Forward-looking statements
involve inherent risks and uncertainties. A number of factors could
cause actual results to differ materially from those contained in
any forward−looking statement, including but not limited to the
following: the Company's goals and strategies; the Company's future
business development, financial condition and results of
operations; the expected growth of the AR holographic industry; and
the Company's expectations regarding demand for and market
acceptance of its products and services. Further information
regarding these and other risks is included in the Company's annual
report on Form 20-F and current report on Form 6-K and other
documents filed with the SEC. All information provided in this
press release is as of the date of this press release, and the
Company does not undertake any obligation to update any
forward-looking statement, except as required under applicable
laws.
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SOURCE MicroCloud Hologram Inc.