Prosecution Insights
Last updated: April 19, 2026
Application No. 18/760,359

System and Method for Optimizing Dynamic Point Clouds Based on Prioritized Transformations

Non-Final OA §101§DP
Filed
Jul 01, 2024
Examiner
MCDOWELL, JR, MAURICE L
Art Unit
2612
Tech Center
2600 — Communications
Assignee
Interdigital Madison Patent Holdings SAS
OA Round
1 (Non-Final)
86%
Grant Probability
Favorable
1-2
OA Rounds
3y 0m
To Grant
99%
With Interview

Examiner Intelligence

Grants 86% — above average
86%
Career Allow Rate
790 granted / 913 resolved
+24.5% vs TC avg
Moderate +13% lift
Without
With
+12.9%
Interview Lift
resolved cases with interview
Typical timeline
3y 0m
Avg Prosecution
23 currently pending
Career history
936
Total Applications
across all art units

Statute-Specific Performance

§101
16.1%
-23.9% vs TC avg
§103
47.7%
+7.7% vs TC avg
§102
12.8%
-27.2% vs TC avg
§112
7.7%
-32.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 913 resolved cases

Office Action

§101 §DP
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 npl entries: 4, 18, and 25 of the ids filed on 7/1/24 are missing dates (at least the year is needed to be considered), and have been lined through and not considered by the examiner. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-9 are rejected under 35 U.S.C. 101 because the claimed invention is directed to non-statutory subject matter. The claim(s) does/do not fall within at least one of the four categories of patent eligible subject matter because claim 1, is directed to a method performed by a client comprising the steps of: obtaining, receiving and applying which are nothing more than software instructions. Software instructions are non-statutory under 35 U.S.C. 101. Claims 2-9 comprise more steps, for example in claim 3, the step of applying changes, therefore claims 2-9 have the same problem as claim 1, and are rejected under the same rationale. Double Patenting The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969). A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on nonstatutory double patenting provided the reference application or patent either is shown to be commonly owned with the examined application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. See MPEP § 717.02 for applications subject to examination under the first inventor to file provisions of the AIA as explained in MPEP § 2159. See MPEP § 2146 et seq. for applications not subject to examination under the first inventor to file provisions of the AIA . A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b). The filing of a terminal disclaimer by itself is not a complete reply to a nonstatutory double patenting (NSDP) rejection. A complete reply requires that the terminal disclaimer be accompanied by a reply requesting reconsideration of the prior Office action. Even where the NSDP rejection is provisional the reply must be complete. See MPEP § 804, subsection I.B.1. For a reply to a non-final Office action, see 37 CFR 1.111(a). For a reply to final Office action, see 37 CFR 1.113(c). A request for reconsideration while not provided for in 37 CFR 1.113(c) may be filed after final for consideration. See MPEP §§ 706.07(e) and 714.13. The USPTO Internet website contains terminal disclaimer forms which may be used. Please visit www.uspto.gov/patent/patents-forms. The actual filing date of the application in which the form is filed determines what form (e.g., PTO/SB/25, PTO/SB/26, PTO/AIA /25, or PTO/AIA /26) should be used. A web-based eTerminal Disclaimer may be filled out completely online using web-screens. An eTerminal Disclaimer that meets all requirements is auto-processed and approved immediately upon submission. For more information about eTerminal Disclaimers, refer to www.uspto.gov/patents/apply/applying-online/eterminal-disclaimer. Claims 1, 4-5, 10, 13-14, 18 and 20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 10-14 and 23-26 of U.S. Patent No. 12,062,195. Although the claims at issue are not identical, they are not patentably distinct from each other because they are a broader version of the patent claims. Instant Clms. (18/760,359) Patent Clms. (12,062,195) 1. A method performed by a client, comprising: obtaining a reference point cloud representing a first point cloud in a time sequence of point clouds; receiving, from a server, a series of representations of changes to the reference point cloud, wherein each representation specifies an area of the reference point cloud and a change to be applied to the specified area, each such change comprises at least one of a 3D transformation, a set of points to be added to the reference point cloud, and a set of points to be removed from the reference point cloud; and successively applying the representations to the reference point cloud to generate a point cloud representing a second point cloud in the time sequence of point clouds. 4. The method of claim 1, wherein a first representation and a second representation, of the series of representations, capture a first change and a second change, respectively, to an area of the reference point cloud, wherein the first change comprises a coarse deviation and the second change comprises a finer residual deviation. 5. The method of claim 1, wherein a 3D transformation, of a presentation of the series of representations, comprises a rotation and a translation of points in the area specified by the representation. 10. An apparatus employed by a client, comprising: at least one processor; and memory storing instructions that, when executed by the at least one processor, cause the apparatus to: obtain a reference point cloud representing a first point cloud in a time sequence of point clouds, receive, from a server, a series of representations of changes to the reference point cloud, wherein each representation specifies an area of the reference point cloud and a change to be applied to the specified area, each such change comprises at least one of a 3D transformation, a set of points to be added to the reference point cloud, and a set of points to be removed from the reference point cloud, and successively apply the representations to the reference point cloud to generate a point cloud representing a second point cloud in the time sequence of point clouds. 13. The apparatus of claim 10, wherein a first representation and a second representation, of the series of representations, capture a first change and a second change, respectively, to an area of the reference point cloud, wherein the first change comprises a coarse deviation and the second change comprises a finer residual deviation. 14. The apparatus of claim 10, wherein a 3D transformation, of a presentation of the series of representations, comprises a rotation and a translation of points in the area specified by the representation. 18. The apparatus of claim 17, wherein the information about the processing budget comprises at least one of an amount of time and an amount of bandwidth. 20. A non-transitory computer-readable medium comprising instructions executable by at least one processor to perform a method by a client, the method comprising: obtaining a reference point cloud representing a first point cloud in a time sequence of point clouds; receiving, from a server, a series of representations of changes to the reference point cloud, wherein each representation specifies an area of the reference point cloud and a change to be applied to the specified area, each such change comprises at least one of a 3D transformation, a set of points to be added to the reference point cloud, and a set of points to be removed from the reference point cloud; and successively applying the representations to the reference point cloud to generate a point cloud representing a second point cloud in the time sequence of point clouds. 11. A method, comprising: obtaining a first point cloud in a time sequence of point clouds, the first point cloud corresponding to a first time in the time sequence of point clouds; 12. The method of claim 11, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. 11. receiving from a server a series of representations of changes to the first point cloud, wherein each representation of the series of representations is applicable to an area of deviation between the first point cloud and a second point cloud corresponding to a later time in the time sequence of point clouds, wherein each area of deviation is selected by the server from among areas of deviations between the first and the second point clouds based on respective importance scores, and wherein each representation of the series comprises at least one of a 3D transformation, a set of points to be added, and a set of points to be removed; and 12. The method of claim 11, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. 11. updating the first point cloud by sequentially applying the representations of the series of representations to the first point cloud to obtain a version of the second point cloud. 12. The method of claim 11, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. 14. The method of claim 11, wherein a first representation and a second representation, of the series of representations, capture first changes and second changes, respectively, to an area of the first point cloud, wherein the first changes comprise coarse changes to the area and the second changes comprise finer residual changes to the area. 12. The method of claim 11, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. 11. each representation of the series comprises at least one of a 3D transformation. 13. The method of claim 11, wherein the 3D transformations comprises rotation and translation. 23. An apparatus comprising: a processor; and a non-transitory computer-readable medium storing instructions operative, when executed by the processor, to cause the apparatus to: obtain a first point cloud in a time sequence of point clouds, the first point cloud corresponding to a first time in the time sequence of point clouds, 24. The apparatus of claim 23, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. 23. receive from a server a series of representations of changes to the first point cloud, wherein each representation of the series of representations is applicable to an area of deviation between the first point cloud and a second point cloud corresponding to a later time in the time sequence of point clouds, wherein each area of deviation is selected by the server from among areas of deviations between the first and the second point clouds based on respective importance scores, and wherein each representation of the series comprises at least one of a 3D transformation, a set of points to be added, and a set of points to be removed, and 24. The apparatus of claim 23, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. 23. update the first point cloud by sequentially applying the representations of the series of representations to the first point cloud to obtain a version of the second point cloud. 24. The apparatus of claim 23, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. 26. The apparatus of claim 23, wherein a first representation and a second representation, of the series of representations, capture first changes and second changes, respectively, to an area of the first point cloud, wherein the first changes comprise coarse changes to the area and the second changes comprise finer residual changes to the area. 24. The apparatus of claim 23, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. 23. wherein each representation of the series comprises at least one of a 3D transformation, a set of points to be added, and a set of points to be removed, and 25. The apparatus of claim 23, wherein the 3D transformation comprises rotation and translation. 10. The method of claim 9, wherein the budget comprises at least one of an amount of time, an amount of processing, or an amount of bandwidth available to update the first point cloud based on the changes. 23. a non-transitory computer-readable medium storing instructions operative, when executed by the processor, to cause the apparatus to: obtain a first point cloud in a time sequence of point clouds, the first point cloud corresponding to a first time in the time sequence of point clouds, 24. The apparatus of claim 23, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. 23. receive from a server a series of representations of changes to the first point cloud, wherein each representation of the series of representations is applicable to an area of deviation between the first point cloud and a second point cloud corresponding to a later time in the time sequence of point clouds, wherein each area of deviation is selected by the server from among areas of deviations between the first and the second point clouds based on respective importance scores, and wherein each representation of the series comprises at least one of a 3D transformation, a set of points to be added, and a set of points to be removed, and 24. The apparatus of claim 23, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. 23. update the first point cloud by sequentially applying the representations of the series of representations to the first point cloud to obtain a version of the second point cloud. 24. The apparatus of claim 23, wherein obtaining the first point cloud comprises receiving a version of the first point cloud from the server. Allowable Subject Matter Claims 2-3 and 6-9 would be objected to (except for the double patenting and or 101 rejections) as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Claims 11-12, 15-17 and 19 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. The following is a statement of reasons for the indication of allowable subject matter: Regarding claims 2-3, 6-9, 11-12, 15-17 and 19 the prior art doesn’t teach: 2. The method of claim 1, wherein an area specified by a presentation of the series of representations comprises coordinates of a bounding volume that encapsulate the area. 3. The method of claim 1, wherein a first representation and a second representation, of the series of representations, successively apply changes to respective first and second specified areas that overlap. 6. The method of claim 1, wherein the series of representations comprises respective hierarchical 3D transformations. 7. The method of claim 1, wherein the series of representations approximate changes overtime between the first point cloud to the second point cloud. 8. The method of claim 1, further comprising: sending, to the server, information about a processing budget available to generate the point cloud representing the second point cloud. 9. The method of claim 1, further comprising: sending, to the server, information about a viewpoint location relative to the second point cloud to facilitate prioritization of transmission to the client of the series of representations. 11. The apparatus of claim 10, wherein an area specified by a presentation of the series of representations comprises coordinates of a bounding volume that encapsulate the area. 12. The apparatus of claim 10, wherein a first representation and a second representation, of the series of representations, successively apply changes to respective first and second specified areas that overlap. 15. The apparatus of claim 10, wherein the series of representations comprises respective hierarchical 3D transformations. 16. The apparatus of claim 10, wherein the series of representations approximate changes overtime between the first point cloud to the second point cloud. 17. The apparatus of claim 10, wherein the instructions further cause the apparatus to: send, to the server, information about a processing budget available to generate the point cloud representing the second point cloud. 19. The apparatus of claim 10, wherein the instructions further cause the apparatus to: send, to the server, information about a viewpoint location relative to the second point cloud to facilitate prioritization of transmission to the client of the series of representations. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. PALMA et al. “Detection of Geometric Temporal Changes in Point Clouds”, COMPUTER GRAPHICS forum Volume 35 (2016), number 6 pp. 33–45. BERGSJO, “Photogrammetric point cloud generation and surface interpolation for change detection”, DEGREE PROJECT IN THE BUILT ENVIRONMENT, SECOND CYCLE, 30 CREDITS, STOCKHOLM, SWEDEN 2016 Any inquiry concerning this communication or earlier communications from the examiner should be directed to MAURICE L MCDOWELL, JR whose telephone number is (571)270-3707. The examiner can normally be reached Mon-Fri: 2pm-10pm. 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, Said A. Broome can be reached at 571-272-2931. 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. /MAURICE L. MCDOWELL, JR/Primary Examiner, Art Unit 2612
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Prosecution Timeline

Jul 01, 2024
Application Filed
Jan 27, 2026
Non-Final Rejection — §101, §DP (current)

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Prosecution Projections

1-2
Expected OA Rounds
86%
Grant Probability
99%
With Interview (+12.9%)
3y 0m
Median Time to Grant
Low
PTA Risk
Based on 913 resolved cases by this examiner. Grant probability derived from career allow rate.

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