https://eureka.patsnap.com/resources/blog/rd-blog/3d-face-point-cloud-recognition-algorithm-patent-landscape/ · Patsnap · data cut-off 2026-10-20 · downloaded from the live page
Patent Landscape · Updated 2026

3D Face Point Cloud Recognition Patents: Who Files and Where the Claims Sit

337 patent families and 479 published records on 3D face point cloud recognition, with filer and IPC breakdowns.

479
Published Records
337
Simple Patent Families
2%
Families Naming the Largest Filer
46%
In Force at Cut-off

479 published records collapse into 337 simple (DOCDB) families; the difference is the same invention filed in more than one country. SOUTHEAST UNIV is named on 6 of the 337 patent families in scope. One patent family can name several filers, so these figures are not slices of a divided whole and do not add up. In force = 218 of 479 records still granted and maintained at the data cut-off; the rest are pending, withdrawn, refused or lapsed.

  • 337 simple patent families and 479 published records sit behind this search. The two counts differ because a single invention can publish in more than one office.
  • SOUTHEAST UNIV is named on 6 of the 337 families, the highest single-row share at 1.8%. 85 of the 96 listed filers hold 2 or fewer families each.
  • G06T (image data processing) and G06V (image/video recognition) each cover more families than any other subclass. 44.5% and 42.1% of the 337 families respectively, with shares overlapping since one family can carry both classes.
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Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this dataset covers

This page is built from a search for records whose title, abstract or claims mention a point cloud together with face or facial terms and recognition or authentication terms. That returns 479 published records, which de-duplicate down to 337 simple patent families once the same invention filed in more than one office is counted once. The search carries no date limit, so the set spans whatever years the matching records happen to fall in rather than a chosen window.

The search string is a text and classification match, not a hand-curated category, so some of the smaller technology branches it touches may reflect how broadly those terms are used elsewhere rather than a distinct sub-field of 3D face point cloud work. The figures below are reported as counted, with the unit stated each time, so records and families are never mixed in the same number.

Records vs. families in scope
  1. SOUTHEAST UNIV6
  2. Hefed Ulu Deepvision Technology Co., Ltd.4
  3. CHINA UNIV OF MINING & TECH3
  4. META PLATFORMS INC3
  5. SHENZHEN WEITESHI TECH3
  6. ZHEJIANG UNIV3
  7. PING AN TECH (SHENZHEN) CO LTD3
  8. TENCENT TECHNOLOGY (SHENZHEN) CO LTD3
  9. GUANGDONG UNIV OF TECH3
  10. SHANDONG UNIV3

Ordered by volume only, not by importance or claim strength. Counted in simple (DOCDB) patent families, so one invention filed in several countries counts once. Names come from Patsnap's standardised assignee field as recorded on each document; subsidiaries and group companies are not merged. The icon before each name is read from the name itself (words such as University, Institute or Ltd); the data carries no organisation-type field, so treat it as a reading aid rather than a classification. Filings held by named individuals rather than organisations are removed where they can be identified (4 here); that identification is not exhaustive, so an individually held filing can still appear below. Either way those filings stay inside the totals above. This table shows the top 30 of the 96 filers returned for this search; the data endpoint returns at most 100 entities, so even that 96 is not the complete set of filers. A single family can name more than one filer, so these counts overlap and do not add up to the total.

Source: Patsnap Eureka. Assignee ranking and totals. Derived from one Patsnap search for 3D Face Point Cloud Recognition Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-20. Counts cover published records only and move as new filings publish.Run this in Eureka MCP

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The numbers

Filing trend and technology composition

Two views of the same 337 families: how publication volume has moved by earliest filing year, and which IPC subclasses the families fall into.

Filing trend by earliest filing year (published records)

Published records rose from 21 in 2018 to 58 in 2021, a +176% move over that span. 2022 onward is shaded on the chart because records from those years are still publishing, so the visible dip after the 2022 peak of 62 records reflects publication lag rather than fewer filings.

Filing trend by earliest filing year (published records)0204060803200820102012201420162018202062202220241720262022 onwards are shaded as still filling in: a filing is only visible once it publishes, up to 30 months after filing.

Counted in published records by earliest filing year, not de-duplicated into families. A filing is counted in the year it was filed, but it only becomes visible after it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. 2022 onwards are therefore still filling in and are shaded; no growth figure on this page uses them. Because this series counts documents rather than inventions, a rise can mean more inventions or the same inventions filed in more countries; this dataset cannot separate the two. This chart covers 2008-2026 (478 records); the 479 total quoted above includes earlier filings outside the window.

IPC subclass composition (share of 337 families)

G06T (image data processing & generation) and G06V (image/video recognition) each appear on more families than any other subclass, at 44.5% and 42.1% of the 337 families in scope. G06K (data recognition & presentation) and G06N (computing based on AI models) follow at 33.2% and 23.7%. Families can carry more than one of these classes, so the four shares add up to well over 100% and are not exclusive groups.

IPC subclass composition (share of 337 families)G06T · Image data processing & genera…15044.5%G06V · Image/video recognition14242.1%G06K · Data recognition & presentation11233.2%G06N · Computing based on AI models8023.7%G06F · Electric digital data processi…4011.9%G01S · Radar, sonar & positioning278.0%G06Q · Business, commerce & admin dat…175.0%H04N · Pictorial communication (video…175.0%Other14342.4%

Shares are the percentage of the 337 patent families in scope. One patent family can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from one Patsnap search for 3D Face Point Cloud Recognition Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-20. Counts cover published records only and move as new filings publish.

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Example record

A record from the result set

First record returned, database default order
US20160196467A12016-07-07

Three-Dimensional Face Recognition Device Based on Three Dimensional Point Cloud and Three-Dimensional Face Recognition Method Based on Three-Dimensional Point Cloud

SHENZHEN WEITESHI TECHNOLOGY CO. LTD.

The abstract describes a device with a feature-region detection unit that locates a feature region of a 3D point cloud, a mapping unit that normalizes that point cloud into a depth-image space, a statistics unit that runs Gabor filters at different scales and directions over the resulting face data, and a storage unit holding a trained visual dictionary.US20160196467A1, filed by Shenzhen Weiteshi Technology Co. Ltd., published 2016-07-07. This is the first record the search returns under default ordering, not a ranking by citation, breadth or date.

US20160196467A1, patent drawing 1US20160196467A1, patent drawing 2
View full record

Selected as the first record the search returns under the database default order, then shown in full. It is not ranked by citations, claim breadth or commercial importance, and it is not a judgement about which filing in this space matters most.

Source: Patsnap Eureka. The first record the search returned, shown in full. Derived from one Patsnap search for 3D Face Point Cloud Recognition Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-20. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
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Reading the data

Three figures worth sitting with

Each card below states one figure from the dataset, the unit it is counted in, and what it does and does not establish.

Filer concentration
1.8%
largest single-row share of 337 families

SOUTHEAST UNIV named on 6 of 337 families

SOUTHEAST UNIV is named on 6 of the 337 simple patent families in scope, the highest count of any single row in the filer list. 85 of the 96 listed filers hold 2 or fewer families each. Filer rows are not summed anywhere on this page because one family can name more than one filer, so rows overlap.

Counted in simple patent families.
Technology split
44.5%
of 337 families carry a G06T classification

G06T and G06V cover more families than other subclasses shown

G06T (image data processing & generation) appears on 150 of the 337 families (44.5%) and G06V (image/video recognition) on 142 (42.1%). A family can carry both classes along with others, so these shares are not mutually exclusive and do not sum to a combined total.

Counted in simple patent families; 60 IPC subclasses appear across the full set.
Legal status
46%
of 479 records granted and in force

218 of 479 records were in force at retrieval

At the 2026-10-20 retrieval date, 218 of the 479 published records (46%) were granted and still in force. The remaining 261 records cover pending, withdrawn, refused, lapsed and not-determinable statuses in combinations not broken out in this dataset.

Counted in published records, status as of the retrieval date only.
Publication volume
+176%
record growth, 2018 to 2021

Published records rose from 21 to 58 between 2018 and 2021

Published records counted by earliest filing year moved from 21 in 2018 to 58 in 2021, a +176% change over that three-year span. Years from 2022 onward are still accumulating publications, so they are not read for a trend direction here.

Counted in published records, not de-duplicated across countries.
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Source: Patsnap Eureka. Derived observations on the same dataset. Derived from one Patsnap search for 3D Face Point Cloud Recognition Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-20. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
Next steps

Working with this dataset further

The figures above cover filer distribution, technology split and filing volume at the family and record level. The items below point to where a closer read inside Patsnap Eureka can take each of those further.

Pull the granted claims on specific filers

A family count shows volume, not claim scope. Reading the granted claims for any row named here is the only way to know what it actually covers.

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Check overlap between IPC subclasses directly

G06T, G06V, G06K and G06N shares overlap in ways this page cannot break down row by row. A direct query can show which families carry which combinations.

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Track new publications as they land

2022 onward is still filling in on the filing trend. Monitoring new publications as they clear the lag keeps that read current.

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Source: Patsnap Eureka. Suggested next steps. No new data: every figure named here is one of those above. Derived from one Patsnap search for 3D Face Point Cloud Recognition Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-20. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
FAQ

Common questions on this dataset

Answers are grounded in the same dataset. Derived from one Patsnap search for 3D Face Point Cloud Recognition Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-20. Counts cover published records only and move as new filings publish.Run this in Eureka MCP

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Go past this page: query the whole 3d face point cloud recognition algorithm patent landscape corpus yourself, in your own scope.
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How this page was built, and what the numbers do and do not mean

Search. Every figure on this page comes from one Patsnap search, run once and not edited afterwards. This is the exact search string:

TAC:(("point cloud") AND (face OR facial) AND (recognition OR authentication))

Reading the field codes: TAC searches the title, abstract and claims of each record, not the full description. The search string sets no date limit, so the scope is every matching record in the database regardless of when it was filed. It is not restricted to recent years. How this string was built matters for how far the counts can be pushed. It was generated in batch from a topic list rather than hand-crafted for this page, and the result set is not manually screened. A keyword search over title, abstract and claims both over-captures (unrelated filings that happen to use the same words) and under-captures (the same invention written in different words). This page cannot measure either effect, so read every figure here as what this particular string returned, not as what exists in the field. No subclass carries much of this set: the most common one is on 44.5% of the patent families and the set spans 60 subclasses in all. That can mean the technology genuinely sits across several areas, or that the search string is also matching adjacent work that happens to use the same words. This page cannot separate the two, and the result set is not screened by hand.

What is being counted. Two different units appear on this page and they are not interchangeable. The filer list and the technology split are counted in simple (DOCDB) patent families: one invention counts once however many countries it was filed in. The total, the jurisdiction split and the filing-year chart are counted in published records: the same invention counts once per publication. For this search that is 479 records and 337 families. Record counts reward filing in many jurisdictions; family counts do not. Shares are only ever taken against a denominator in the same unit, and each one names it.

Who the filers are. Names come from Patsnap's standardised assignee field, as recorded on the documents themselves. They are not rolled up to corporate group: a parent and its subsidiaries appear as separate entries, and a portfolio acquired from another company stays under the name on the document unless the assignment is reflected there. This list is meant to carry organisations, not people. Filings held by a named individual are identified by matching the assignee against the inventors on the same search, and, for names written in Chinese, Japanese or Korean characters, by the name carrying no organisational suffix; those are removed from the list (4 of them here). Neither test is exhaustive: the inventor list it matches against is itself capped, and a personal name written in Latin script with no organisational wording in it cannot be told apart from a short company name by rule. So an individually held filing can still appear in the list. Those filings stay inside every total and share on this page either way, so the listed entries can add up to less than the total. A record shown in full further down still names its assignee exactly as the patent office records it, including where that is a person: that name is how the record is identified and checked. What is left out of the ranking is people as ranked entries, not people as cited sources. The table shows the top 30 of the 96 filers returned, ordered by count alone; the data endpoint returns at most 100 entities, so even that 96 is not every filer. One patent family can name several filers and each is counted separately, so these rows are not slices of a divided whole: adding them together over-counts, and this page deliberately publishes no combined "top five" share for that reason. See every filer, individuals included

Dates. The year chart counts by earliest filing year, not publication year. A filing only becomes visible once it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. Measured across these pages, the year four back from today still holds only about 89% of its eventual count. 2022 onwards are therefore shaded on the chart as still filling in, and the growth figure stops at 2021. The data behind this page was retrieved on 2026-10-20.

Legal status. "In force" counts documents whose legal status at retrieval was granted and maintained (218 of 479). Everything else is pending, withdrawn, refused, lapsed or not determinable, and those states are not broken out here because the underlying codes do not separate them cleanly. Legal status changes continuously and is reported per document, not per family. Get the status breakdown in Eureka

Classification. The technology split uses IPC subclasses (four characters, for example H01M). A single record usually carries several, so the shares add up to more than 100% and a record can appear in more than one bar. Subclass is a coarse grouping; it describes the field a record was classified into, not what the claims cover. Break the classes down to subgroup level

Who wrote the words. The tables, charts, counts, shares and patent numbers on this page are produced directly from the search result by a program; none of them are written or estimated by a language model. The surrounding prose, headings, FAQ answers and the answers in the question panel are drafted by a language model that is given those same figures and is not permitted to introduce others. Prose can still mis-describe a correct figure, so where the two disagree, the tables and charts are the record.

Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries limitations that apply to every figure above. Recent filings are under-counted, because an application is not public until roughly 18 months after filing and database loading adds further delay. The search string defines and constrains everything shown: records that use different terminology, or that sit outside the fields searched, are absent and cannot be counted. Applicant names, classification codes, legal-status codes and citation records are taken as recorded and may contain errors, duplicates, omissions or stale entries. Ordering by volume is not a measure of quality, scope, enforceability or commercial value, and a larger portfolio is not a stronger one. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, validity or infringement search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. No attorney-client relationship is created by it. Any patent, commercial, or strategic decision should be verified independently against the primary records and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

The question panel. The answers behind the suggested questions on this page were written when the page was generated, not in response to your click. The progress steps that play before an answer appears are an animation of how that analysis was done; nothing is being searched or computed at that moment. Typing your own question instead opens Patsnap Eureka, which does run it live.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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