Prosecution Insights
Last updated: August 17, 2026
Application No. 19/161,081

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§112
Filed
Aug 29, 2025
Priority
Mar 20, 2023 — RE 10-2023-0036096 +1 more
Examiner
KIM, MATTHEW DAVID
Art Unit
2483
Tech Center
2400 — Computer Networks
Assignee
LG Electronics Inc.
OA Round
1 (Non-Final)
74%
Grant Probability
Favorable
1-2
OA Rounds
1y 3m
Est. Remaining
89%
With Interview

Examiner Intelligence

Grants 74% — above average
74%
Career Allowance Rate
221 granted / 300 resolved
+15.7% vs TC avg
Moderate +15% lift
Without
With
+14.9%
Interview Lift
resolved cases with interview
Typical timeline
2y 3m
Avg Prosecution
15 currently pending
Career history
316
Total Applications
across all art units

Statute-Specific Performance

§101
3.2%
-36.8% vs TC avg
§103
69.1%
+29.1% vs TC avg
§102
6.8%
-33.2% vs TC avg
§112
15.8%
-24.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 300 resolved cases

Office Action

§103 §112
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 . Information Disclosure Statement The information disclosure statement(s) (IDS) submitted on 09/29/2025 is/are in compliance with the provisions of 37 CFR 1.97. Accordingly, the information disclosure statement(s) is/are being considered by the examiner. Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. Claim(s) 14 is/are rejected under 35 U.S.C. 112(b) as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor regards as the invention. Regarding claim 14, claim limitation “the subgroup” refers definitively to an optional “a subgroup” limitation in 11, which makes claim 14 indefinite because it is not required that a subgroup is established as an antecedent limitation. Therefore, the claim is indefinite and is rejected under 35 U.S.C. 112(b). Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically taught as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. The factual inquiries set forth in Graham v. John Deere Co., 383 U.S. 1, 148 USPQ 459 (1966), that are applied for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claim(s) 1-2, 9-11, and 15 is/are rejected under 35 U.S.C. 103 as being unpatentable over Takahashi1 et al. (US 20220312035) (hereinafter Takahashi1) in view of Yang et al. (US 20240386617) (hereinafter Yang). Regarding claim 1, Takahashi1 teaches A method of point cloud data, the method comprising: encoding point cloud data (see Takahashi1 paragraphs 81 and 108-117 regarding encoding point cloud data including encoding the point cloud geometry based on a depth of the tree and encoding attribute data based on a level of detail also related to the depth of the tree and forming a bitstream of multiple slices including geomotry depth slices and attribute LoD slices with parameters for the depth layer); and However, Takahashi1 does not explicitly teach transmitting a bitstream as needed for the limitations of claim 1. Yang, in a similar field of endeavor, teaches transmitting a bitstream containing the point cloud data (see Yang paragraphs 52-60, 96-97, 105-109, and 121 regarding transmitting a bitstream of point cloud data and encoding geometry data of the point cloud based on a planar mode for a node of the tree based on density information based on the number of nodes, where information about using the planar mode is included based on a threshold where this information may be included in the header- in combination with Takahashi1, the transmission and planar mode of Yang may be incorporated into the method of Takahashi1 and signaled in the bitstream for the slices). Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the application to modify the teaching of Takahashi1 to include the teaching of Yang so that in combination with Takahashi1, the transmission and planar mode of Yang may be incorporated into the method of Takahashi1 and signaled in the bitstream for the slices. One would be motivated to combine these teachings in order to improve coding efficiency in a point cloud encoding method (see Yang paragraphs 52-60, 96-97, 105-109, and 121). Regarding claim 2, the combination of Takahashi1 and Yang teaches all aforementioned limitations of claim 1, and is analyzed as previously discussed. Furthermore, the combination of Takahashi1 and Yang teaches wherein the encoding of the point cloud data comprises: encoding geometry data of the point cloud data based on a depth of a tree; and encoding attribute data of the point cloud data based on a level of detail (LoD), wherein one or more depths of the tree are related to one or more LoDs (see Takahashi1 paragraphs 81 and 108-117 regarding encoding point cloud data including encoding the point cloud geometry based on a depth of the tree and encoding attribute data based on a level of detail also related to the depth of the tree and forming a bitstream of multiple slices including geomotry depth slices and attribute LoD slices with parameters for the depth layer). Independent claim(s) 9-10 is/are analogous in scope to claim(s) 1, albeit in the inverse decoding form and/or regarding a memory and processor instructions as taught by Takahashi1 paragraph 243, and is/are rejected according to the same reasoning. Regarding claim 11, the combination of Takahashi1 and Yang teaches all aforementioned limitations of claim 10, and is analyzed as previously discussed. Furthermore, the combination of Takahashi1 and Yang teaches wherein the bitstream contains a dependent geometry data unit header, wherein the dependent geometry data unit header contains at least one of: information about a usage type of a planar mode; information about the number of final points included in a subgroup bounding box in a slice of the bitstream; information about a method of estimating the number of points in the slice for density information; information about the number of layers in a subgroup in the slice of the bitstream; or information about whether the planar mode is used for points in the layers in the slice of the bitstream (see Yang paragraphs 52-60, 96-97, 105-109, and 121 regarding transmitting a bitstream of point cloud data and encoding geometry data of the point cloud based on a planar mode for a node of the tree based on density information based on the number of nodes, where information about using the planar mode is included based on a threshold where this information may be included in the header- in combination with Takahashi1, the transmission and planar mode of Yang may be incorporated into the method of Takahashi1 and signaled in the bitstream for the slices). One would be motivated to combine these teachings in order to improve coding efficiency in a point cloud encoding method (see Yang paragraphs 52-60, 96-97, 105-109, and 121). Independent claim(s) 15 is/are analogous in scope to claim(s) 1, albeit in the inverse decoding form and/or regarding a memory and processor instructions as taught by Takahashi1 paragraph 243, and is/are rejected according to the same reasoning. Claim(s) 3-8 and 12-14 is/are rejected under 35 U.S.C. 103 as being unpatentable over Takahashi1 et al. (US 20220312035) (hereinafter Takahashi1) in view of Yang et al. (US 20240386617) (hereinafter Yang), further in view of Takahashi2 et al. (US 20240292026) (hereinafter Takahashi2). Regarding claim 3, the combination of Takahashi1 and Yang teaches all aforementioned limitations of claim 2, and is analyzed as previously discussed. Furthermore, the combination of Takahashi1 and Yang teaches wherein the bitstream contains one or more slices, wherein the slices include: geometry data for the one or more depths of the tree; or attribute data for one or more LoDs, wherein the slices include attribute data for the one or more LoDs (see Takahashi1 paragraphs 81 and 108-117 regarding encoding point cloud data including encoding the point cloud geometry based on a depth of the tree and encoding attribute data based on a level of detail also related to the depth of the tree and forming a bitstream of multiple slices including geomotry depth slices and attribute LoD slices with parameters for the depth layer), However, the combination of Takahashi1 and Yang does not explicitly teach subgroups as needed for the limitations of claim 3. Takahashi2, in a similar field of endeavor, teaches wherein: the geometry data in a layer for a level of the depth is included in one or more subgroups; and the attribute data in the layer for a level of the LoD is included in one or more subgroups (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268 regarding geometry data, layer, level and depth for subgroups in a point cloud encoding system- in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices). Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the application to modify the combination of Takahashi1 and Yang to include the teaching of Takahashi2 so that in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices. One would be motivated to combine these teachings in order to enhance coding efficiency in a point cloud encoding method (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268). Regarding claim 4, the combination of Takahashi1, Yang, and Takahashi2 teaches all aforementioned limitations of claim 3, and is analyzed as previously discussed. Furthermore, the combination of Takahashi1, Yang, and Takahashi2 teaches wherein the bitstream contains parameters for the layer (see Takahashi1 paragraphs 81 and 108-117 regarding encoding point cloud data including encoding the point cloud geometry based on a depth of the tree and encoding attribute data based on a level of detail also related to the depth of the tree and forming a bitstream of multiple slices including geomotry depth slices and attribute LoD slices with parameters for the depth layer). Regarding claim 5, the combination of Takahashi1, Yang, and Takahashi2 teaches all aforementioned limitations of claim 3, and is analyzed as previously discussed. Furthermore, the combination of Takahashi1, Yang, and Takahashi2 teaches wherein the encoding of the point cloud data comprises: encoding the geometry data of the point cloud data based on a planar mode for a node of the tree, wherein the planar mode is determined based on density information, the density information being calculated based on at least one of the number of points in a leaf node of the tree, the number of directly encoded nodes, or the number of child nodes of the node (see Yang paragraphs 52-60, 96-97, 105-109, and 121 regarding transmitting a bitstream of point cloud data and encoding geometry data of the point cloud based on a planar mode for a node of the tree based on density information based on the number of nodes, where information about using the planar mode is included based on a threshold where this information may be included in the header- in combination with Takahashi1, the transmission and planar mode of Yang may be incorporated into the method of Takahashi1 and signaled in the bitstream for the slices). One would be motivated to combine these teachings in order to improve coding efficiency in a point cloud encoding method (see Yang paragraphs 52-60, 96-97, 105-109, and 121). Regarding claim 6, the combination of Takahashi1, Yang, and Takahashi2 teaches all aforementioned limitations of claim 3, and is analyzed as previously discussed. Furthermore, the combination of Takahashi1, Yang, and Takahashi2 teaches wherein the encoding of the point cloud data comprises: encoding the geometry data in the subgroups in a layer group of the tree (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268 regarding geometry data, layer, level and depth for subgroups in a point cloud encoding system- in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices) based on a planar mode based on density information (see Yang paragraphs 52-60, 96-97, 105-109, and 121 regarding transmitting a bitstream of point cloud data and encoding geometry data of the point cloud based on a planar mode for a node of the tree based on density information based on the number of nodes, where information about using the planar mode is included based on a threshold where this information may be included in the header- in combination with Takahashi1, the transmission and planar mode of Yang may be incorporated into the method of Takahashi1 and signaled in the bitstream for the slices), the density information being calculated based on at least one of: the number of points in the subgroups; the number of directly encoded points related to the layer group; or the number of child nodes in an upper layer for the subgroups in the layer group (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268 regarding geometry data, layer, level and depth for subgroups in a point cloud encoding system- in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices). One would be motivated to combine these teachings in order to improve coding efficiency in a point cloud encoding method (see Yang paragraphs 52-60, 96-97, 105-109, and 121) and enhance coding efficiency in a point cloud encoding method (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268). Regarding claim 7, the combination of Takahashi1, Yang, and Takahashi2 teaches all aforementioned limitations of claim 6, and is analyzed as previously discussed. Furthermore, the combination of Takahashi1, Yang, and Takahashi2 teaches wherein the number of points in the subgroups in the layer group of the tree is determined based on: a final number of points related to a leaf layer group of the tree; a maximum number of points related to the slices; or the number of parent subgroups of the subgroups (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268 regarding geometry data, layer, level and depth for subgroups in a point cloud encoding system- in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices). One would be motivated to combine these teachings in order to enhance coding efficiency in a point cloud encoding method (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268). Regarding claim 8, the combination of Takahashi1, Yang, and Takahashi2 teaches all aforementioned limitations of claim 3, and is analyzed as previously discussed. Furthermore, the combination of Takahashi1, Yang, and Takahashi2 teaches wherein the encoding of the point cloud data comprises: generating: density information calculated based on at least one of the number of points in the subgroups, the number of directly encoded points related to the layer group, or the number of child nodes in an upper layer for the subgroups in the layer group (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268 regarding geometry data, layer, level and depth for subgroups in a point cloud encoding system- in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices); and information about whether a planar mode is used, the information being computed based on a threshold (see Yang paragraphs 52-60, 96-97, 105-109, and 121 regarding transmitting a bitstream of point cloud data and encoding geometry data of the point cloud based on a planar mode for a node of the tree based on density information based on the number of nodes, where information about using the planar mode is included based on a threshold where this information may be included in the header- in combination with Takahashi1, the transmission and planar mode of Yang may be incorporated into the method of Takahashi1 and signaled in the bitstream for the slices). One would be motivated to combine these teachings in order to improve coding efficiency in a point cloud encoding method (see Yang paragraphs 52-60, 96-97, 105-109, and 121) and enhance coding efficiency in a point cloud encoding method (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268). Regarding claim 12, the combination of Takahashi1 and Yang teaches all aforementioned limitations of claim 10, and is analyzed as previously discussed. Furthermore, the combination of Takahashi1 and Yang teaches based on a planar mode based on density information (see Yang paragraphs 52-60, 96-97, 105-109, and 121 regarding transmitting a bitstream of point cloud data and encoding geometry data of the point cloud based on a planar mode for a node of the tree based on density information based on the number of nodes, where information about using the planar mode is included based on a threshold where this information may be included in the header- in combination with Takahashi1, the transmission and planar mode of Yang may be incorporated into the method of Takahashi1 and signaled in the bitstream for the slices), However, the combination of Takahashi1 and Yang does not explicitly teach subgroups as needed for the limitations of claim 12. Takahashi2, in a similar field of endeavor, teaches wherein the decoding of the point cloud data comprises: decoding geometry data of the point cloud data in a subgroup in a layer group of the tree (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268 regarding geometry data, layer, level and depth for subgroups in a point cloud encoding system- in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices) the density information being calculated based on at least one of the number of points in the subgroup; the number of directly encoded points related to the layer group; or the number of child nodes in an upper layer for the subgroup in the layer group (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268 regarding geometry data, layer, level and depth for subgroups in a point cloud encoding system- in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices). Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the application to modify the combination of Takahashi1 and Yang to include the teaching of Takahashi2 so that in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices. One would be motivated to combine these teachings in order to enhance coding efficiency in a point cloud encoding method (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268). Regarding claim 13, the combination of Takahashi1, Yang, and Takahashi2 teaches all aforementioned limitations of claim 12, and is analyzed as previously discussed. Furthermore, the combination of Takahashi1, Yang, and Takahashi2 teaches wherein the number of points in the subgroup in the layer group of the tree is determined based on: a final number of points related to a leaf layer group of the tree; a maximum number of points related to a slice; or the number of parent subgroups of the subgroup (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268 regarding geometry data, layer, level and depth for subgroups in a point cloud encoding system- in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices). One would be motivated to combine these teachings in order to enhance coding efficiency in a point cloud encoding method (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268). Regarding claim 14, the combination of Takahashi1 and Yang teaches all aforementioned limitations of claim 11, and is analyzed as previously discussed. However, the combination of Takahashi1 and Yang does not explicitly teach subgroups as needed for the limitations of claim 14. Takahashi2, in a similar field of endeavor, teaches wherein the decoding of the point cloud data comprises: decoding geometry data in the subgroup based on the planar mode based on information about whether the planar mode is used for the points in the layers in the slice of the bitstream (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268 regarding geometry data, layer, level and depth for subgroups in a point cloud encoding system- in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices). Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the application to modify the combination of Takahashi1 and Yang to include the teaching of Takahashi2 so that in combination with Takahashi1 and Yang, which encodes a for a point cloud using a planar mode with density information, the subgrouping of Takahashi2 may be incorporated into the density threshold/considerations of Yang's planar mode decoding based on a number of points in the subgroup based on maximum numbers of points in the slices. One would be motivated to combine these teachings in order to enhance coding efficiency in a point cloud encoding method (see Takahashi2 paragraphs 17, 83-84, 96-98, 108, and 268). Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to Matthew D Kim whose telephone number is (571)272-3527. The examiner can normally be reached Monday - Friday: 9:30am - 5:30pm EST. 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, Joseph Ustaris can be reached at (571) 272-7383. The fax phone 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. /MATTHEW DAVID KIM/Primary Examiner, Art Unit 2483
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Prosecution Timeline

Aug 29, 2025
Application Filed
Jul 15, 2026
Non-Final Rejection mailed — §103, §112 (current)

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Prosecution Projections

1-2
Expected OA Rounds
74%
Grant Probability
89%
With Interview (+14.9%)
2y 3m (~1y 3m remaining)
Median Time to Grant
Low
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