Prosecution Insights
Last updated: October 01, 2026
Application No. 18/450,844

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

Non-Final OA §103
Filed
Aug 16, 2023
Priority
Feb 18, 2021 — JP 2021-024134 +1 more
Examiner
BROOME, SAID A
Art Unit
2612
Tech Center
2600 — Communications
Assignee
Canon Inc.
OA Round
3 (Non-Final)
82%
Grant Probability
Favorable
3-4
OA Rounds
0m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 82% — above average
82%
Career Allowance Rate
629 granted / 768 resolved
+19.9% vs TC avg
Strong +17% interview lift
Without
With
+17.3%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
16 currently pending
Career history
789
Total Applications
across all art units

Statute-Specific Performance

§101
23.9%
-16.1% vs TC avg
§103
47.1%
+7.1% vs TC avg
§102
13.6%
-26.4% vs TC avg
§112
12.1%
-27.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 768 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and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114.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 02/19/26 has been entered. Status of the Claims Claims 1, 3, 6-9 and 13 have been amended. Claims 2, 4, 5 and 10 have been cancelled. Claims 11-12 have been previously presented. Claims 14 and 15 have been added. 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 disclosed 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. Claims 1, 3, 6-9 and 11-15 are rejected under 35 U.S.C. 103 as being unpatentable over Ito (US 2019/0378326) in view of Piya et al.(hereinafter “Piya”, US 2015/0331576). Regarding claims 1, 9 and 13, Ito teaches an information processing apparatus (Fig. 1: 100), method (0186 lines 1-12) and non-transitory computer-readable storage medium storing a program for causing a computer to execute a setting method (0186 lines 1-12), comprising: one or more memories storing instructions (0186 lines 1-12); and one or more processors executing the instructions (0186 lines 1-12) to: acquire virtual viewpoint information for identifying a position of a virtual viewpoint and a line-of-sight from the virtual viewpoint (0006 lines 3-11 and Fig. 15: 112f); select, based on the virtual viewpoint information, three-dimensional shape data of each of one or more objects to be displayed in a virtual viewpoint image among a plurality of objects (0080 lines 6-13). However, Ito fails to teach identify, based on the virtual viewpoint information, a sub region of each of the one or more objects of which the three-dimensional shape data is selected, wherein the sub region is a region to be displayed in the virtual viewpoint image; acquire partial data corresponding to the sub region of each of the one or more objects, wherein the partial data is a part of the three-dimensional shape data of each of the one or more objects; and output the partial data to an external apparatus which executes a rendering process based on the partial data. Piya teaches identify, based on the virtual viewpoint information, a sub region of each of the one or more objects of which the three-dimensional shape data is selected, wherein the sub region is a region to be displayed in the virtual viewpoint image (0122 lines 1-9, in which a region with partial data from three-dimensional shape data is selected and identified for user interaction); acquire partial data corresponding to the sub region of each of the one or more objects, wherein the partial data is a part of the three-dimensional shape data of each of the one or more objects (Fig. 24A-B, in which regions of a portion of three-dimensional shape data are acquired); and output the partial data to an external apparatus which executes a rendering process based on the partial data (Fig. 24A, HMD apparatus). Therefore it would have been obvious to one of ordinary skill in the art at the time of invention to modify the virtual viewpoints of Ito with the sub regions defined by Piya because this modification would enhance a user’s interaction with complex three-dimensional shape data through enabling the ability to view and manipulate several regions of the data. Regarding claims 3 and 15, Ito fails to teach wherein the plurality of pieces of partial data is generated through divisions according to a position of the three-dimensional shape data. Piya teaches wherein the plurality of pieces of partial data is generated through divisions according to a position of the three-dimensional shape data (0118 lines 1-11). Therefore it would have been obvious to one of ordinary skill in the art at the time of invention to modify the virtual viewpoints of Ito with the sub regions defined by Piya because this modification would enhance a user’s interaction with complex three-dimensional shape data through enabling the ability to view and manipulate several regions of the data. Regarding claim 6, Ito fails to teach divide the three-dimensional shape data into the plurality of pieces of partial data based on a position of an imaging apparatus. Piya teaches divide the three-dimensional shape data into the plurality of pieces of partial data based on a position of an imaging apparatus (0122 lines 1-9 and Fig. 24B). Therefore it would have been obvious to one of ordinary skill in the art at the time of invention to modify the virtual viewpoints of Ito with the sub regions defined by Piya because this modification would enhance a user’s interaction with complex three-dimensional shape data through enabling the ability to view and manipulate several regions of the data. Regarding claim 7, Ito fails to teach acquire a plurality of pieces of virtual viewpoint information, and identify the sub region of each of the one or more objects, displayed in any of the plurality of pieces of virtual viewpoint images representing views from the plurality of pieces of virtual viewpoints identified based on the plurality of pieces of virtual viewpoint information. Piya teaches acquire a plurality of pieces of virtual viewpoint information, and identify the sub region of each of the one or more objects, displayed in any of the plurality of pieces of virtual viewpoint images representing views from the plurality of pieces of virtual viewpoints identified based on the plurality of pieces of virtual viewpoint information (0006 lines 3-11 and Fig. 15: 112f). Therefore it would have been obvious to one of ordinary skill in the art at the time of invention to modify the virtual viewpoints of Ito with the sub regions defined by Piya because this modification would enhance a user’s interaction with complex three-dimensional shape data through enabling the ability to view and manipulate several regions of the data. Regarding claim 8, Ito fails wherein the one or more processors further execute the instructions to perform control not to output partial data different from the partial data corresponding to the sub region from the three-dimensional shape data. Piya teaches wherein the one or more processors further execute the instructions to perform control not to output partial data different from the partial data corresponding to the sub region from the three-dimensional shape data (0122 lines 1-9). Therefore it would have been obvious to one of ordinary skill in the art at the time of invention to modify the virtual viewpoints of Ito with the sub regions defined by Piya because this modification would enhance a user’s interaction with complex three-dimensional shape data through enabling the ability to view and manipulate several regions of the data. Regarding claims 11 and 14, Ito fails to teach further comprising dividing the three-dimensional shape data into a plurality of pieces of partial data based on the sub region. Piya teaches further comprising dividing the three-dimensional shape data into a plurality of pieces of partial data based on the sub region (0118 lines 1-11). Therefore it would have been obvious to one of ordinary skill in the art at the time of invention to modify the virtual viewpoints of Ito with the sub regions defined by Piya because this modification would enhance a user’s interaction with complex three-dimensional shape data through enabling the ability to view and manipulate several regions of the data. Regarding claim 12, Ito fails to teach wherein control is performed not to output partial data different from the partial data corresponding to the sub region from the three-dimensional shape data. Piya teaches wherein control is performed not to output partial data different from the partial data corresponding to the sub region from the three-dimensional shape data (0006 lines 3-11 and Fig. 15: 112f). Therefore it would have been obvious to one of ordinary skill in the art at the time of invention to modify the virtual viewpoints of Ito with the sub regions defined by Piya because this modification would enhance a user’s interaction with complex three-dimensional shape data through enabling the ability to view and manipulate several regions of the data. Response to Arguments Applicant’s arguments with respect to claims 1, 3, 6-9 and 11-15 have been considered but are moot because the new ground of rejection does not rely on any reference applied in the prior rejection of record for any teaching or matter specifically challenged in the argument. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to Said Broome whose telephone number is (571)272-2931. The examiner can normally be reached Monday - Friday 8:30am-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. 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. /Said Broome/Supervisory Patent Examiner, Art Unit 2612
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Prosecution Timeline

Aug 16, 2023
Application Filed
May 06, 2025
Non-Final Rejection mailed — §103
Aug 05, 2025
Response Filed
Nov 25, 2025
Final Rejection mailed — §103
Feb 19, 2026
Request for Continued Examination
Feb 23, 2026
Response after Non-Final Action
Sep 11, 2026
Non-Final Rejection mailed — §103 (current)

Precedent Cases

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
82%
Grant Probability
99%
With Interview (+17.3%)
2y 9m (~0m remaining)
Median Time to Grant
High
PTA Risk
Based on 768 resolved cases by this examiner. Grant probability derived from career allowance rate.

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