Prosecution Insights
Last updated: April 19, 2026
Application No. 18/034,310

POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD

Non-Final OA §103
Filed
Apr 27, 2023
Examiner
MILIA, MARK R
Art Unit
2681
Tech Center
2600 — Communications
Assignee
LG Electronics Inc.
OA Round
3 (Non-Final)
58%
Grant Probability
Moderate
3-4
OA Rounds
2y 10m
To Grant
82%
With Interview

Examiner Intelligence

Grants 58% of resolved cases
58%
Career Allow Rate
340 granted / 583 resolved
-3.7% vs TC avg
Strong +24% interview lift
Without
With
+23.7%
Interview Lift
resolved cases with interview
Typical timeline
2y 10m
Avg Prosecution
26 currently pending
Career history
609
Total Applications
across all art units

Statute-Specific Performance

§101
9.3%
-30.7% vs TC avg
§103
54.1%
+14.1% vs TC avg
§102
22.2%
-17.8% vs TC avg
§112
13.3%
-26.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 583 resolved cases

Office Action

§103
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 2/17/26 has been entered. Currently, claims 1, 5-7, 10-12, and 15-18 are pending. Response to Arguments Applicant's arguments filed 2/17/26 have been fully considered but they are not persuasive. The applicant asserts N19525 and Flynn et al. (US 2021/0004992), individually or in combination, fail to disclose or suggest wherein the subgroup belongs to a layer group in a layer group structure, wherein the subgroup is identified by subgroup identification information and layer group identification information, wherein the layer group is a group of consecutive levels of a geometry tree, wherein the layer group includes a plurality of nodes and each level of the layer group includes one or more nodes, and wherein the layer group is identified by the layer group identification information and includes one more subgroups, wherein the signaling data includes the layer group identification information and the subgroup identification information. The Examiner respectfully disagrees as the combination of N19525 and Flynn disclose the above-mentioned features. Particularly, Flynn discloses encoding and decoding point clouds, and encoders and decoders for encoding and decoding point clouds. A current node associated with a sub-volume is split into further sub-volumes, each further sub-volume corresponding to a child node of the current node, and, at the encoder, an occupancy pattern is determined for the current node based on occupancy status of the child nodes (para 27). A method of encoding a point cloud to generate a bitstream of compressed point cloud data, the point cloud being defined in a tree structure having a plurality of nodes having parent-child relationships and that represent the geometry of a volumetric space recursively split into sub-volumes and containing the points of the point cloud. The method includes, for a current node associated with a sub-volume split into further sub-volumes, each further sub-volume corresponding to a child node of the current node, determining an occupancy pattern for the current node based on occupancy status of the child nodes (para 28). One of the more common mechanisms for coding point cloud data is through using tree-based structures. In a tree-based structure, the bounding three-dimensional volume for the point cloud is recursively divided into sub-volumes. Nodes of the tree correspond to sub-volumes. The decision of whether or not to further divide a sub-volume may be based on resolution of the tree and/or whether there are any points contained in the sub-volume (para 45). The point cloud encoder 10 includes a tree building module 12 for receiving point cloud data and producing a tree (in this example, an octree) representing the geometry of the volumetric space containing point cloud and indicating the location or position of points from the point cloud in that geometry. The process starts with a bounding volume (cube) containing the point cloud in a coordinate system. The volume is then split into 8 sub-volumes (eight sub-cubes). For each sub-volume, mark the sub-volume with 0 if the sub-volume is empty, or with 1 if there is at least one point in it. For all sub-volumes marked with 1, repeat the splitting step to split those sub-volumes, until a maximum depth of splitting is reached (paras 48-53). Fig. 3 shows a node with a plurality of subgroups, each with one or more subgroups with a plurality of nodes (para 65). Before the effective filing date of the claimed invention, it would have been obvious to a person of ordinary skill in the art to combine the tree structure geometry of point cloud data, as described by Flynn, with the system of N19525. The suggestion/motivation for doing so would have been to provide more efficient and effective compress data for point clouds (Flynn para 4). Therefore, the combination of N19525 and Flynn discloses wherein the subgroup belongs to a layer group in a layer group structure, wherein the subgroup is identified by subgroup identification information and layer group identification information, wherein the layer group is a group of consecutive levels of a geometry tree, wherein the layer group includes a plurality of nodes and each level of the layer group includes one or more nodes, and wherein the layer group is identified by the layer group identification information and includes one more subgroups, wherein the signaling data includes the layer group identification information and the subgroup identification information. Claim Rejections - 35 USC § 103 The text of those sections of Title 35, U.S. Code not included in this action can be found in a prior Office action. Claims 1, 2, 5-7, 10-12, and 15-18 are rejected under 35 U.S.C. 103(a) as being unpatentable over ISO/IEC JTC1/SC29/WG11 Document No. N19525, “G-PCC codec description v8” (2 October 2020) (“N19525”), cited in the IDS dated 8/24/23, in view of Flynn et al. (US 2021/0004992). Regarding claims 1 and 6, N19525 discloses a device for transmitting point cloud data and a method of transmitting point cloud data, the method comprising: encoding geometry data of the point cloud data (see § 2, “In both the encoder and decoder, point cloud positions are coded first”); encoding attribute data of the point cloud data based on the geometry data (see § 3.15.8, Fig. 149; attribute data header (ash) paired with geometry data unit for a slice); and transmitting the encoded geometry data, the encoded attribute data, and signaling data (see § 3.15.8, Fig. 149; attribute data header (ash) paired with geometry data unit for a slice). N19525 does not disclose expressly encoding geometry data of the point cloud data in a subgroup, wherein the subgroup belongs to a layer group in a layer group structure, wherein the subgroup is identified by subgroup identification information and layer group identification information, wherein the layer group is a group of consecutive levels of a geometry tree, wherein the layer group includes a plurality of nodes and each level of the layer group includes one or more nodes, and wherein the layer group is identified by the layer group identification information and includes one more subgroups; wherein the signaling data includes the layer group identification information and the subgroup identification information. Flynn discloses encoding geometry data of the point cloud data in a subgroup, wherein the subgroup belongs to a layer group in a layer group structure, wherein the subgroup is identified by subgroup identification information and layer group identification information, wherein the layer group is a group of consecutive levels of a geometry tree, wherein the layer group includes a plurality of nodes and each level of the layer group includes one or more nodes, and wherein the layer group is identified by the layer group identification information and includes one more subgroups; wherein the signaling data includes the layer group identification information and the subgroup identification information (see Figs. 3 and 4 and paras 27-28, 45, 48, and 65-68, encoded point cloud data is defined in a tree structure made up of a plurality of nodes having a parent-child relationship with a geometric representation of volumetric space split into sub-volumes, thus layered groups and subgroups). Regarding claims 11 and 16, N19525 discloses a device for decoding point cloud data a method of receiving point cloud data, the method comprising: receiving geometry data, attribute data, and signaling data (see Fig. 1, decoder receives geometry bitstream and attribute bitstream); decoding the geometry data based on the signaling data (see § 2, “In both the encoder and decoder, point cloud positions are coded first”); and decoding the attribute data based on the signaling data and the decoded geometry data (see § 3.15.8, Fig. 149; attribute data header (ash) paired with geometry data unit for a slice). N19525 does not disclose expressly encoding geometry data of the point cloud data in a subgroup, wherein the subgroup belongs to a layer group in a layer group structure, wherein the subgroup is identified by subgroup identification information and layer group identification information, wherein the layer group is a group of consecutive levels of a geometry tree, wherein the layer group includes a plurality of nodes and each level of the layer group includes one or more nodes, and wherein the layer group is identified by the layer group identification information and includes one more subgroups; wherein the signaling data includes the layer group identification information and the subgroup identification information. Flynn discloses encoding geometry data of the point cloud data in a subgroup, wherein the subgroup belongs to a layer group in a layer group structure, wherein the subgroup is identified by subgroup identification information and layer group identification information, wherein the layer group is a group of consecutive levels of a geometry tree, wherein the layer group includes a plurality of nodes and each level of the layer group includes one or more nodes, and wherein the layer group is identified by the layer group identification information and includes one more subgroups; wherein the signaling data includes the layer group identification information and the subgroup identification information (see Figs. 3 and 4 and paras 27-28, 45, 48, and 65-68, encoded point cloud data is defined in a tree structure made up of a plurality of nodes having a parent-child relationship with a geometric representation of volumetric space split into sub-volumes, thus layered groups and subgroups). Before the effective filing date of the claimed invention, it would have been obvious to a person of ordinary skill in the art to combine the tree structure geometry of point cloud data, as described by Flynn, with the system of N19525. The suggestion/motivation for doing so would have been to provide more efficient and effective compress data for point clouds (Flynn para 4). Therefore, it would have been obvious to combine Flynn with N19525 to obtain the invention as specified in claims 1, 6, 11, and 16. Regarding claims 2, 7, 12 and 17, Flynn further discloses wherein nodes in the geometry tree are grouped into at least the layer group or the subgroup (see Figs. 3 and 4 and paras 27-28, 45, 48, and 65-68, encoded point cloud data is defined in a tree structure made up of a plurality of nodes having a parent-child relationship with a geometric representation of volumetric space split into sub-volumes, thus layered groups and subgroups). Regarding claims 5, 10, 15, and 18, Flynn further discloses wherein the signaling data further comprises entropy continuation enabled information for specifying whether or not entropy is used continuously (see paras 27-28, 45, 61-62, and 64, entropy encoding and decoding is performed). Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to MARK R MILIA whose telephone number is (571) 272-7408. The examiner can normally be reached Monday-Friday, 8am-5pm. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Akwasi Sarpong can be reached at 571-270-3438. The fax number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /MARK R MILIA/ Primary Examiner, Art Unit 2681
Read full office action

Prosecution Timeline

Apr 27, 2023
Application Filed
May 29, 2025
Non-Final Rejection — §103
Sep 02, 2025
Response Filed
Nov 19, 2025
Final Rejection — §103
Feb 17, 2026
Request for Continued Examination
Feb 25, 2026
Response after Non-Final Action
Mar 02, 2026
Non-Final Rejection — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12602843
METHOD FOR CONVERTING ENDOSCOPE IMAGES TO NARROW BAND IMAGES
2y 5m to grant Granted Apr 14, 2026
Patent 12591972
DEVICE FOR INFERRING MATERIAL DENSITY IMAGE, CT SYSTEM, STORAGE MEDIUM, AND METHOD OF CREATING TRAINED NEURAL NETWORK
2y 5m to grant Granted Mar 31, 2026
Patent 12575888
PREDICTING STEREOSCOPIC VIDEO WITH CONFIDENCE SHADING FROM A MONOCULAR ENDOSCOPE
2y 5m to grant Granted Mar 17, 2026
Patent 12579187
INFORMATION-PROCESSING DEVICE, INFORMATION-PROCESSING METHOD AND INFORMATION-PROCESSING PROGRAM
2y 5m to grant Granted Mar 17, 2026
Patent 12578309
Method, Device And Program For Detecting, By Ultrasound, Defects In A Material
2y 5m to grant Granted Mar 17, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

3-4
Expected OA Rounds
58%
Grant Probability
82%
With Interview (+23.7%)
2y 10m
Median Time to Grant
High
PTA Risk
Based on 583 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month