BEIJING, Jan. 18,
2023 /PRNewswire/ -- MicroCloud Hologram Inc.
(NASDAQ: HOLO) ("HOLO" or the "Company"), a Hologram Digital Twins
Technology provider, today announced that it develops multiple
algorithms for generating 3D holographic digital content based on
computer imaging technology. These algorithms result from the
Company's independent research and development, which are conducive
to further improving the Company's intellectual property protection
system, maintaining its technological leadership, and enhancing its
core competitiveness.
According to the various technical issues faced by the current
CGH technology, especially efficiency, HOLO develops and applies
multiple algorithms in CGH technology and optimizes them to improve
the efficiency and quality of 3D holographic digital images. CGH
technology decomposes 3D objects into multiple basic units, then
edits them with depth-of-field data and synthetically superimposes
all basic unit data to obtain holographic digital images.
Therefore, the vast computation involved in CGH is a great
challenge for realizing real-time dynamic holographic 3D displays,
especially in the case of complex 3D objects and large sizes of
holographic digital images. HOLO applies three algorithms, namely
dot matrix-based algorithm, polygon-based algorithm, and
layered-based algorithm, to improve the computational efficiency
and apply the optimized algorithm to CGH.
The CGH technology developed by HOLO based on the dot
matrix-based algorithm represents 3D holographic objects by
millions of dot matrixes, where each pixel of the object is
represented by a dot that irradiates the spherical wave of the
holographic digital content. The complex amplitude distribution of
the holographic digital content can be obtained by superimposing
all the target points. The computational burden can be
significantly reduced by calculating the points of all possible
objects in advance and storing them in the computer's advance
judgment. HOLO's dot matrix-based algorithm can be
optimized online and offline, and the 3D holographic digital dot
matrix data can be pre-computed and stored in tables offline,
thus speeding up the generation of holograms.
In addition, to reduce the internal memory occupation
of 3D holographic digital content, the dot
matrix-based algorithm can divide the 3D holographic
objects into multiple 2D slice planes along the axial
direction. And the center object point of each slice plane is
dominant, the other target points' can be calculated according
to the relative position relationship in spatial
coordinates by computing dot matrix shift in the same
plane, and the result is obtained by adding the offset of all
target points multiplying the corresponding amplitude. This enables
a significant reduction in both computation and memory
usage. HOLO's dot matrix-based algorithm for
CGH not only preserves the complete phase and depth of field
data of the holographic digital image but also improves the overall
computational efficiency.
Another way to speed up the computation in HOLO's dot
matrix-based algorithm for CGH is to reduce the
computation area of each object point. For example, when
high-precision holographic digital image content with millions of
points of data is not required or when high-precision is not
required for certain areas of the same layer or frame,
polygon-based holographic digital content algorithms can be
adopted. HOLO's polygon-based algorithm treats 3D holographic
objects as thousands of polygons instead of millions of points. In
this way, the number of computational units is significantly
reduced. The algorithm treats each polygon as a polygon aperture,
and CGH is created by adding diffraction maps of all polygon
apertures. In addition, combined with computer graphics rendering
algorithms, the polygon-based algorithm can easily add textures and
shadows to 3D scenes. The core problem of the polygon-based
algorithm is the diffraction calculation between the tilted plane
and the holographic plane. In the algorithm, 3D holographic objects
are divided into thousands of tilted polygons that are not parallel
to the planar layers. The polygon-based algorithm defines the base
polygons with amplitude and phase functions in the local coordinate
system and calculates their spectra, then computes the core
parameters in the 3D transformation matrix from the vertex vectors
of the base and tilted polygons using a matrix. The 3D holographic
transform contains translation, rotation, and scaling
transformations in 3D space, so the core parameters in the 3D
transformation matrix can be used to calculate the CGH, thus saving
polygon depiction, reducing diffusion calculations, and having no
depth limitations. A polygon-based fully resolved algorithm is
applied to speed up the computation, which can explicitly represent
the resolved spectrum from the base polygon; the global angular
spectrum of any polygon in the holographic plane can be computed
using the resolved spectrum of the transformation matrix of the
base polygon and the tilted polygon.
The dot matrix-based and polygon-based algorithms can provide
accurate geometric information of 3D scenes, but they are still
computationally intensive. HOLO also develops layered-based
algorithms to reduce the number of computational units and speed up
the computation. The layered-based algorithm divides the 3D
holographic object into several layers parallel to the holographic
plane, and each layer is considered a separate computational unit.
The algorithm uses diffraction to calculate the sub-holograms of
each layer and then obtains the CGH by superimposing all the
sub-holograms. Because of the limited resolution of human eyes, the
layered-based algorithm has smaller computational units than the
dot-based or polygon-based algorithm. HOLO's CGH technology also
uses the angular spectrum method, which avoids the near-axis
approximation, calculates the exact diffraction field, and
optimizes computational speed.
HOLO's dot-based algorithm, polygon-based algorithm, and
layered-based algorithm can be applied to different 3D holographic
digital content or the same 3D holographic digital content
production according to the varying needs of customers and scenes.
These three algorithms are designed to optimize the calculation
method and improve the efficiency of the calculation, which can
quickly generate holographic digital content. They have a very
positive contribution in real estate, e-commerce, education, and
other industries that are making content towards 3D holographic
today. Various industries need 3D holographic content or
lightweight product display services to speed up the terminal's
response efficiency. The 3D holographic digital content algorithm
developed by HOLO can effectively improve computational efficiency,
so it has fundamental industry significance and application
value.
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.