Prosecution Insights
Last updated: April 19, 2026
Application No. 18/670,740

SYSTEM AND METHOD FOR ADDING COPYRIGHT PROTECTION TO IMPLICIT 3D MODEL

Non-Final OA §103§112
Filed
May 22, 2024
Examiner
SINHA, SNIGDHA
Art Unit
2619
Tech Center
2600 — Communications
Assignee
Hong Kong Baptist University
OA Round
1 (Non-Final)
50%
Grant Probability
Moderate
1-2
OA Rounds
2y 6m
To Grant
96%
With Interview

Examiner Intelligence

Grants 50% of resolved cases
50%
Career Allow Rate
3 granted / 6 resolved
-12.0% vs TC avg
Strong +46% interview lift
Without
With
+45.8%
Interview Lift
resolved cases with interview
Typical timeline
2y 6m
Avg Prosecution
26 currently pending
Career history
32
Total Applications
across all art units

Statute-Specific Performance

§101
2.0%
-38.0% vs TC avg
§103
65.6%
+25.6% vs TC avg
§102
16.2%
-23.8% vs TC avg
§112
11.7%
-28.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 6 resolved cases

Office Action

§103 §112
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 (IDS) submitted on 22 May 2024. The submission is in compliance with the provisions of 37 CFR 1.97. Accordingly, the information disclosure statement is 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. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. Claims 1 - 16 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. Acronyms used need be spelled out prior to use because it is not clear what the acronym is now and could be in the future. The acronyms “MLP” (claims 1 and 9), “CNN” (claims 3 and 11), and “ReLU” (Claims 4 and 12) should be defined in the claims. 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 1-2 and 9-10 are rejected under 35 U.S.C. 103 as being unpatentable over Fujioka (US 20240362822) in view of Luo (US 20240020788). Regarding claim 1, Fujioka teaches a system for adding copyright protection to implicit 3D models, comprising: A first MLP module configured to output a geometry parameter according to a 3D coordinate parameter obtained from a 3D model source (Paragraph 172, the MLP model of D-NeRF does not explicitly handle the refractive index and the incident angle, but directly learns positional shift (Δx, Δy, Δz) with respect to the three-dimensional coordinates (x, y, z) using the camera posture and histogram data (x, y, z, hst_cnt) as inputs); A second MLP module configured to output a base-colors parameter according to a viewing-directions parameter obtained from the 3D model source and according to outcomes of the first MLP module (Paragraph 92, camera postures (x, y, z, θ, φ) at that time are input, and a function F of multilayer perceptron (MLP) that outputs luminance (RGB value)); Note: the x, y, z values that are the input to function F can be learned from the first MLP module. While Fujioka fails to disclose the following, Luo teaches: A color feature encoder configured to concatenate the geometry parameter, the viewing-directions parameter, and the base-colors parameter to obtain a spatial descriptor and further configured to transform the spatial descriptor to a high-dimensional color feature field (Paragraph 77, The message vector 504 can be first repeated along both spatial and temporal dimensions to the same size as each three-dimensional feature encoding 510A/510B, and can be concatenated with the feature map(s) three-dimensional feature encoding 510A/510B along the channel dimension to obtain three-dimensional fused encoding); A message feature encoder configured to map messages to higher dimensions so as to obtain a message feature field (Paragraph 77, The message vector 504 can be scaled to the scale of the three-dimensional feature encoding 510A to obtain scaled message encoding); and A feature fusion module configured to generate a watermarked color representation and embed the watermarked color representation into the 3D model source (Paragraph 79, the embedding portion 509 can fuse the three-dimensional feature encodings 510A/510B with the scaled message embeddings 506A/506B). Luo and Fujioka are both considered to be analogous to the claimed invention because they are in the same field of 3D watermarking. Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to have modified Fujioka to incorporate the teachings of Luo and use a color feature encoder, a message feature encoder, and a feature fusion module to generate and embed a watermark representation. Doing so would allow for copyrighting the 3D model source. Method claim 9 corresponds to system claim 1. Therefore, claim 9 is rejected for the same reasons as used above. Regarding claim 2, the combination of Fujioka and Luo teaches the system of claim 1, wherein the feature fusion module is further configured to employ the base-colors parameter, and the watermarked color representation and the base-colors parameter have the same dimension (Luo, Paragraph 77, The message vector 504 can be first repeated along both spatial and temporal dimensions to the same size as each three-dimensional feature encoding 510A/510B). Luo and Fujioka are both considered to be analogous to the claimed invention because they are in the same field of 3D watermarking. Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to have modified Fujioka to incorporate the teachings of Luo and use the base-colors parameter and ensure the watermarked color representation and the base-colors parameter have the same dimension. Doing so would allow for easily concatenating or otherwise manipulating the input to the desired output. Method claim 10 corresponds to system claim 2. Therefore, claim 10 is rejected for the same reasons as used above. Claims 3 and 11 are rejected under 35 U.S.C. 103 as being unpatentable over Fujioka in view of Luo as applied to claims 1-2 and 9-10 above and further in view of Yoo (US 20230214953). Regarding claim 3, the combination of Fujioka and Luo teaches the system of claim 1. While the combination fails to disclose the following, Yoo teaches: A message extractor comprising a CNN-based network and configured to reveal the message from 2D rendered images in the 3D model source (Paragraph 21, the three-dimensional image data can be a 3D mesh (e.g., a polygonal mesh, etc.) and/or any materials associated with the 3D mesh (e.g., textures, 2D maps; Paragraph 23, convolutional neural networks). Yoo and the combination of Fujioka and Luo are both considered to be analogous to the claimed invention because they are in the same field of 3D watermarking. Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to have modified the combination of Fujioka and Luo to incorporate the teachings of Yoo and extract 2D images from the 3D model source using a CNN. Doing so would allow for efficiently storing and transmitting additional data along with the 3D watermark. Method claim 11 corresponds to system claim 3. Therefore, claim 11 is rejected for the same reasons as used above. Claims 4 and 12 are rejected under 35 U.S.C. 103 as being unpatentable over Fujioka in view of Luo and further in view of Yoo as applied to claims 3 and 11 above and further in view of Wang (Deep 3D mesh watermarking with self-adaptive robustness). Regarding claim 4, the combination of Fujiko, Luo, and Yoo teaches the system of claim 3. While the combination fails to disclose the following, Wang teaches: Wherein the message extractor employs a sequence of 2D convolutional layers with batch normalization and ReLU functions, and the message extractor incorporates average pooling and a final linear layer with a fixed output dimension, which corresponds to the length of the message, so as to produce a continuous predicted message (Page 4, Column 2, Paragraph 3, Then we define the graph residual block consisting of two GraphConv+BatchNorm+ReLU blocks with a short connection (He et al. 2016), as shown in Fig. 2. For the initial block of the embedding sub-network and extracting sub-network, the input feature is the 3D coordinates of vertices and outputs 64-dim feature. For other blocks, the output feature has the same shape as the input feature with 64 dimensions; Page 6, Paragraph 3, Followed by the global average pooling layer and a two-layer fully connected layer (MLP), the extracted watermark wext is obtained). Wang the combination of Fujioka, Luo, and Yoo are both considered to be analogous to the claimed invention because they are in the same field of 3D watermarking. Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to have modified the combination of Fujioka, Luo, and Yoo to incorporate the teachings of Wang use batch normalization and ReLU, and use average pooling and a final linear layer with a fixed output dimension. Doing so would allow for defending against reordering attack. Method claim 12 corresponds to system claim 4. Therefore, claim 12 is rejected for the same reasons as used above. Claims 5, 8, 13, and 16 are rejected under 35 U.S.C. 103 as being unpatentable over Fujioka in view of Luo as applied to claims 1-2 and 9-10 above and further in view of Miller (US 20130120369). Regarding claim 5, the combination of Fujioka and Luo teaches the system of claim 1. While the combination fails to disclose the following, Miller teaches: A rendering module configured to query the watermarked color representation and the geometry parameter for making at least one rendering operator applied to generation for the watermarked color representation in rendered images (Paragraph 8, a respective portion of the initial model data may be modified to form updated model data corresponding to an updated 3D model… The updated 3D model may be rendered at a display in conjunction with a rendering of the first watermark and a rendering of the second watermark). Miller and the combination of Fujioka and Luo are both considered to be analogous to the claimed invention because they are in the same field of 3D watermarking. Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to have modified the combination of Fujioka and Luo to incorporate the teachings of Miller and use a geometry parameter and render the watermarked color representation. Doing so would allow for customizing the watermark. Method claim 13 corresponds to system claim 5. Therefore, claim 13 is rejected for the same reasons as used above. Regarding claim 8, the combination of Fujioka and Luo teaches the system of claim 1. While the combination fails to disclose the following, Miller teaches: A display configured display the 3D model sources without embedding the watermarked color representation and with embedding the watermarked color representation (Paragraph 64, permission to remove watermarks from renderings of models based on the initial 3D model). Miller and the combination of Fujioka and Luo are both considered to be analogous to the claimed invention because they are in the same field of 3D watermarking. Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to have modified the combination of Fujioka and Luo to incorporate the teachings of Miller and display the 3D model sources with and without the watermark. Doing so would allow for customizing the display based on associated permissions. Method claim 16 corresponds to system claim 8. Therefore, claim 16 is rejected for the same reasons as used above. Claims 6 and 14 are rejected under 35 U.S.C. 103 as being unpatentable over Fujioka in view of Luo and further in view of Miller as applied to claims 5, 8, 13, and 16 above and further in view of Jang (Cropping-resilient 3D mesh watermarking based on consistent segmentation and mesh steganalysis). Regarding claim 6, the combination of Fujioka, Luo, and Miller teaches the system of claim 5. While the combination fails to disclose the following, Jang teaches: Wherein the rendering module utilizes patch-level rendering and is further configured to crop a window from an image of the 3D model source at a random position and to uniformly sample pixels from the window to create a smaller patch (Page 5, First, surface-type segmentation employs surface geometric properties of the mesh such as planarity or curvature to create surface patches). Jang and the combination of Fujioka and Luo are both considered to be analogous to the claimed invention because they are in the same field of 3D watermarking. Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to have modified the combination of Fujioka and Luo to incorporate the teachings of Jang and create patches from the image of the 3D model. Doing so would allow for creating a watermark that is resistant to attack. Method claim 14 corresponds to system claim 6. Therefore, method claim 14 is rejected for the same reasons as used above. Claims 7 and 15 are rejected under 35 U.S.C. 103 as being unpatentable over Fujioka in view of Luo as applied to claims 1-2 and 9-10 above and further in view of Jang. Regarding claim 7, the combination of Fujioka and Luo teaches the system of claim 1. While the combination fails to disclose the following, Jang teaches: Wherein the feature fusion module is further configured to incorporate spatial information into the watermarked color representation, such that the messages embedded in the watermarked color representation remains consistent across different viewpoints rendered from the 3D model source (Section 6.2, The proposed watermark is experimentally invariant to the content preserving attacks including vertex/face reordering in the mesh and similarity transformation (i.e. rotation, scaling, translation (RST) and their combination) because we employ vertex norms which are RST invariant features). Jang and the combination of Fujioka and Luo are both considered to be analogous to the claimed invention because they are in the same field of 3D watermarking. Therefore, it would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to have modified the combination of Fujioka and Luo to incorporate the teachings of Jang and keep the watermark consistent across viewpoints rendered. Doing so would allow for a standardized watermark that is resistant to attack. Method claim 15 corresponds to system claim 7. Therefore, method claim 15 is rejected for the same reasons as used above. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to SNIGDHA SINHA whose telephone number is (571)272-6618. The examiner can normally be reached Mon-Fri. 12pm-8pm. 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, Jason Chan can be reached at 571-272-3022. 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. /SNIGDHA SINHA/Examiner, Art Unit 2619 /JASON CHAN/Supervisory Patent Examiner, Art Unit 2619
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Prosecution Timeline

May 22, 2024
Application Filed
Jan 10, 2026
Non-Final Rejection — §103, §112 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

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AUGMENTED-REALITY-INTERFACE CONFLATION IDENTIFICATION
2y 5m to grant Granted Mar 03, 2026
Patent 12406339
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Study what changed to get past this examiner. Based on 2 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
50%
Grant Probability
96%
With Interview (+45.8%)
2y 6m
Median Time to Grant
Low
PTA Risk
Based on 6 resolved cases by this examiner. Grant probability derived from career allow rate.

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