Checking if 3D Point Cloud Data Follows a Standard
This patent describes a system for ensuring that compressed 3D point cloud data, used in things like virtual reality, meets specific rules about the number of points it contains, making it compatible across different devices.
Original patent title: “Point cloud coding standard conformance definition in computing environments”
This patent describes a system for ensuring that compressed 3D point cloud data, used in things like virtual reality, meets specific rules about the number of points it contains, making it compatible across different devices. Granted in 2026.
Coverage
What does this patent actually cover?
This mechanism helps ensure that 3D point cloud data follows specific rules, especially concerning the number of points. A computing device with a decoder first takes a compressed stream of video data that represents a point cloud and decodes it. Then, special circuitry reconstructs the point cloud from this decoded data. A syntax element parser then reads specific signals embedded in the compressed data, which indicate how many points are in the video's pictures. Finally, processing hardware checks if this number of points falls within the acceptable limits for the point cloud reconstructor circuitry. For example, if a VR headset receives a point cloud, this system ensures the point count won't overwhelm the headset's processing ability, preventing crashes or glitches.
The gap
What does this patent NOT cover?
- Does not cover conformance checks for data types other than point clouds, such as traditional 2D video or audio streams.
- Does not cover conformance checks for aspects of point cloud data beyond the number of points, such as color accuracy or spatial resolution.
- Does not cover point cloud coding that does not conform to the specific PCC standard mentioned in the abstractabstractA short summary at the front of the patent describing the invention. Not legally binding.Read more →.
- Does not cover systems where interoperability signaling is not embedded directly within the compressed bitstream itself.
These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.
Key facts
What made this novel
The noveltynoveltyThe requirement that an invention be different from anything publicly known before its priority date.Read more → lies in embedding specific signals (syntax elements) directly into the compressed point cloud data bitstream to explicitly state the number of points, and then automatically checking this against the hardware's known processing limits to ensure standard conformance.
Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.
Where you've seen this
Real-world examples
Virtual reality headsets displaying 3D environments
Augmented reality applications overlaying digital objects onto the real world
Autonomous vehicle perception systems processing lidar data
3D scanning and reconstruction software
Digital twin platforms for industrial design
Why it matters
The bigger picture
Point clouds are essential for representing 3D environments in virtual reality, augmented reality, and autonomous vehicles. This patent helps ensure that different devices and software can understand and process point cloud data from various sources without issues. By defining how to check for standard conformance, it helps prevent compatibility problems and makes it easier for developers to create interoperable 3D applications.
Filed
December 27, 2024
Granted
September 15, 2026
Market context
Who's building on this
Companies in this space
Companies heavily invested in 3D data processing, virtual reality, and augmented reality are likely to be interested in or building upon such standards. This includes major tech players like Meta, Microsoft, Google, and Apple, as well as companies developing tools for 3D content creation and autonomous driving, such as Unity, Epic Games, and NVIDIA. These entities contribute to and rely on interoperable standards for their hardware and software ecosystems.
Market impact
The establishment of clear conformance definitions for point cloud data is crucial for the growth and stability of industries relying on 3D content. It helps prevent market fragmentation where different devices cannot communicate, fostering a more unified ecosystem for VR, AR, and autonomous systems. This patent contributes to a future where 3D data can be seamlessly exchanged and processed, accelerating innovation and product development across these sectors.
Claim 1 — Plain English
What this patent covers
This mechanism helps ensure that 3D point cloud data follows specific rules, especially concerning the number of points. A computing device with a decoder first takes a compressed stream of video data that represents a point cloud and decodes it. Then, special circuitry reconstructs the point cloud from this decoded data. A syntax element parser then reads specific signals embedded in the compressed data, which indicate how many points are in the video's pictures. Finally, processing hardware checks if this number of points falls within the acceptable limits for the point cloud reconstructor circuitry. For example, if a VR headset receives a point cloud, this system ensures the point count won't overwhelm the headset's processing ability, preventing crashes or glitches.
The clever bit
The novelty lies in embedding specific signals (syntax elements) directly into the compressed point cloud data bitstream to explicitly state the number of points, and then automatically checking this against the hardware's known processing limits to ensure standard conformance.
What it does not cover
- Does not cover conformance checks for data types other than point clouds, such as traditional 2D video or audio streams.
- Does not cover conformance checks for aspects of point cloud data beyond the number of points, such as color accuracy or spatial resolution.
- Does not cover point cloud coding that does not conform to the specific PCC standard mentioned in the abstract.
- Does not cover systems where interoperability signaling is not embedded directly within the compressed bitstream itself.
Patent timeline
Application submitted to the patent office
Patent officially issued
PatentBrief Score
Impact Score
Early stage
Citation count
0/40
No citations yet
Claim breadth
0/20
Narrow claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more →
Recency
20/20
Granted within 5 years
Assignee scale
0/20
Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →
PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.
Heuristic Value Estimate
What this patent might be worth
$17K – $54K
Midpoint $34K · 18.2 yr remaining · industry ×1.4
Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.
Claim text not yet imported for this patent
Concepts involved
Cite this patent
(2026). Checking if 3D Point Cloud Data Follows a Standard (U.S. Patent No. 12,739,410). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/12739410/point-cloud-coding-standard-conformance-definition-in-computing-environments
Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.
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Common Questions
Frequently Asked Questions
What does Checking if 3D Point Cloud Data Follows a Standard cover?
This patent describes a system for ensuring that compressed 3D point cloud data, used in things like virtual reality, meets specific rules about the number of points it contains, making it compatible across different devices.
When does this patent expire?
This patent is expected to expire on September 15, 2046, when the invention enters the public domain.
What problem does this patent solve?
Point clouds are essential for representing 3D environments in virtual reality, augmented reality, and autonomous vehicles. This patent helps ensure that different devices and software can understand and process point cloud data from various sources without issues. By defining how to check for standard conformance, it helps prevent compatibility problems and makes it easier for developers to create interoperable 3D applications.
What does this patent NOT cover?
Does not cover conformance checks for data types other than point clouds, such as traditional 2D video or audio streams.
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