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 .
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.
Claim(s) 1-4, 8, 10-13, 17, and 19-20 is/are rejected under 35 U.S.C. 103 as being unpatentable over Hocquet (WO 2020038872) in view of Srikanth et al. (U.S. PGPUB 20210174087).
With respect to claim 1, Hocquet discloses a computer-implemented method comprising:
generating a list of statically defined augmented reality objects using a central server (paragraph 13, The more virtual objects with their material properties are added to the database, the more materials are shared between the virtual objects, and therefore the more material properties are available to the other virtual objects);
extracting a set of features defining at least one augmented reality object of the list of statically defined augmented reality objects using the central server (paragraph 11, display parameters assigned to a superimposed object are loaded from a database);
generating a list of reusable features from the set of features at the central server (paragraph 12, while the other display parameters remain unchanged. Therefore, when individual display parameters are changed, it is not necessary to reload the entire virtual object, thus reducing the amount of data to be processed);
assigning a unique identifier (ID) to each reusable feature of the list of reusable features and creating a registry correlating each reusable feature to the assigned unique ID (paragraph 12, The display parameters describing a virtual scene can be stored in connection with the overlying virtual object. In particular, the individual files can be named according to a nomenclature, so that they can, for example, be exported separately to a storage medium); and
providing an instruction file from the central server, wherein the instruction file defines an augmented reality (AR) object by defining a set of unique IDs and parameters defining each unique ID (paragraph 21, In a further development of the process, the material properties assigned to the various grid areas, in particular the tint, the light transmission and the reflection, are changed in real time. By dividing the grid model into different grid sections and by assigning different materials, paragraph 36, Different material properties can be assigned to the different grid sections 2a - 2e. For example, metallic material properties can be assigned to the front frame 2a, while the side brackets 2b can be made of plastic, for example). Although Hocquet discloses a computer (paragraph 4, wherein a three-dimensional, virtual model of the virtual object to be superimposed or displayed is created using a computer) corresponding to a central server; Hocquet does not expressly disclose transmitting the reusable features from the central server to at least one client device and providing an instruction file from the central server to the client device.
Srikanth et al., who also deal with augmented reality, disclose a method for transmitting the reusable features from the central server to at least one client device (paragraph 26, a computer-generated three-dimensional (3D) model object—which is cross-referenced in a database to the SKU located as a result of the performance of the visual search—can be provided as the augmented reality content, paragraph 51, the processor 602 and/or the server may be configured to retrieve augmented content corresponding to a SKU from a database) and providing an instruction file from the central server to the client device (paragraph 33, At this point, with the ranked list of SKUs returned from the visual search, the process 300 proceeds to block 304 to commence the augmented realty phase of the user search/shopping experience. In some examples, the list of ranked SKUs is presented to the user via a graphical user interface at a display of the processing device 301).
Hocquet and Srikanth et al. are in the same field of endeavor, namely computer graphics.
Before the effective filing date of the claimed invention, it would have been obvious to apply the method of transmitting the reusable features from the central server to at least one client device and providing an instruction file from the central server to the client device, as taught by Srikanth et al., to the Hocquet system, because this would offload processing to the server and allow for remote storage of augmented reality objects.
With respect to claim 2, Hocquet as modified by Srikanth et al. disclose the computer-implemented method of claim 1, further comprising constructing the AR object using the at least one client device and displaying the AR object to a user of the at least one client device (Srikanth et al.: paragraph 41, a virtual model (e.g., a CGI model) of the product for projection is generated and displayed to the user as the augmented reality content. In some examples, the augmented reality content is displayed as an overlay onto the image of a physical product).
With respect to claim 3, Hocquet as modified by Srikanth et al. disclose the computer-implemented method of claim 1, further comprising separating the set of features into a plurality of subsets based on at least one feature type classification (Hocquet: paragraph 36, Different material properties can be assigned to the different grid sections 2a - 2e. For example, metallic material properties can be assigned to the front frame 2a, while the side brackets 2b can be made of plastic, for example). Metallic and plastic material properties correspond to different subsets of features.
With respect to claim 4, Hocquet as modified by Srikanth et al. disclose the computer-implemented method of claim 1, wherein extracting the set of features defining at least one augmented reality object comprises extracting features defining all augmented reality objects on the list of statically defined augmented reality objects (Hocquet: paragraph 36, In Fig. 2, a virtual model according to Fig. 1 is shown decomposed into different grid sections 2a - 2e… The optical representation of the grid sections can be calculated based on the material properties).
With respect to claim 8, Hocquet as modified by Srikanth et al. disclose the computer-implemented method of claim 1, wherein generating the list of reusable features from the set of features at the central server comprises generating a list of features of a single augmented reality object in the list of statically defined augmented reality objects (Hocquet: paragraph 36, A grid model 1 according to Fig. 1 can be decomposed into different grid sections 2a - 2e, whereby different material properties can be assigned to each grid section 2a - 2e, for example). As shown in Fig. 2, a list of material features is generated from the eyeglass frame.
With respect to claim 10, Hocquet as modified by Srikanth et al. disclose an augmented reality system comprising: a central server (Hocquet: paragraph 4, wherein a three-dimensional, virtual model of the virtual object to be superimposed or displayed is created using a computer) in communication with at least one augmented reality display (Hocquet: paragraph 4, This enables the insertion or overlay of a three-dimensional, virtual object into or over a real-time video stream and real-time playback on a display), wherein the augmented reality system is configured to execute the method of claim 1; see rationale for rejection of claim 1.
With respect to claim 11, Hocquet as modified by Srikanth et al. disclose the system of claim 10, for executing the method of claim 2; see rationale for rejection of claim 2.
With respect to claim 12, Hocquet as modified by Srikanth et al. disclose the system of claim 10, for executing the method of claim 3; see rationale for rejection of claim 3.
With respect to claim 13, Hocquet as modified by Srikanth et al. disclose the system of claim 10, for executing the method of claim 4; see rationale for rejection of claim 4.
With respect to claim 17, Hocquet as modified by Srikanth et al. disclose the system of claim 10, for executing the method of claim 8; see rationale for rejection of claim 8.
With respect to claim 19, Hocquet as modified by Srikanth et al. disclose a computer program product comprising: a non-transitory computer-readable medium storing instructions for causing a computer system to implement an augmented reality system (Hocquet: paragraph 4, wherein a three-dimensional, virtual model of the virtual object to be superimposed or displayed is created using a computer; it is deemed inherent that such a system comprises a computer-readable medium for executing instructions implementing the method) for executing the method of claim 1; see rationale for rejection of claim 1.
With respect to claim 20, Hocquet as modified by Srikanth et al. disclose the computer program product of claim 19, wherein the computer-readable medium further stores instructions for causing the at least one client device to implement the method of claim 2; see rationale for rejection of claim 2.
Claim(s) 5-7 and 14-16 is/are rejected under 35 U.S.C. 103 as being unpatentable over Hocquet (WO 2020038872) in view of Srikanth et al. (U.S. PGPUB 20210174087) and further in view of Mullins (U.S. PGPUB 20140267405).
With respect to claim 5, Hocquet as modified by Srikanth et al. disclose the computer-implemented method of claim 4. However, Hocquet as modified by Srikanth et al. do not expressly disclose generating the list of reusable features from the set of features at the central server comprises generating a list of most common features across the augmented reality objects in the list of statically defined augmented reality objects.
Mullins, who also deals with augmented reality, discloses a method for generating the list of reusable features from the set of features at the central server comprises generating a list of most common features across the augmented reality objects in the list of statically defined augmented reality objects (paragraph 40, The analytics and results data 214 may include results data from an analysis of the analytics data with the analytics computation module 206. Results data may include most often used features or most often looked at location of a virtual content generated from one of the experience content dataset 212).
Hocquet, Srikanth et al., and Mullins are in the same field of endeavor, namely computer graphics.
Before the effective filing date of the claimed invention, it would have been obvious to apply the method of generating the list of reusable features from the set of features at the central server comprises generating a list of most common features across the augmented reality objects in the list of statically defined augmented reality objects, as taught by Mullins, to the Hocquet as modified by Srikanth et al. system, because the analytics results may be provided to the campaign optimization module to generate an enhanced experience content dataset based on the analytics results. For example, the experience at the device may be customized based on the user device usage history (paragraph 25 of Mullins).
With respect to claim 6, Hocquet as modified by Srikanth et al. and Mullins disclose the computer-implemented method of claim 4, wherein generating the list of reusable features from the set of features at the central server comprises generating a list of features used to construct a set of most commonly used augmented reality objects in the list of statically defined augmented reality objects (Mullins: paragraph 46, the experience content database builder 306 accesses a three-dimensional virtual content (e.g., a three-dimensional virtual car with animated features) and a two-dimensional virtual content (e.g., a picture) selected based on the analytics data 402 and analytics data 404. The experience content dataset builder 306 associates the physical content model with the virtual content module to generate the optimized experience content dataset 408, paragraph 53, the analytics computation module 206 may determine features most used or clicked on, colors of virtual object clicked on the most or least, areas of the virtual object viewed the most, and so forth. The resulting computation of the analytics computation module 206 may be referred to as analytics results 404).
With respect to claim 7, Hocquet as modified by Srikanth et al. and Mullins disclose the computer-implemented method of claim 4, wherein generating the list of reusable features from the set of features at the central server comprises generating a list of features whose combination could construct a majority of augmented reality objects in the list of statically defined augmented reality objects (Mullins: paragraph 46, the experience content database builder 306 accesses a three-dimensional virtual content (e.g., a three-dimensional virtual car with animated features) and a two-dimensional virtual content (e.g., a picture) selected based on the analytics data 402 and analytics data 404. The experience content dataset builder 306 associates the physical content model with the virtual content module to generate the optimized experience content dataset 408, paragraph 65, The primary content dataset 610 may include a core set of images or the most popular images determined by the server 110. The core set of images may include a limited number of images identified by the server 110. For example, the core set of images may include the cover image of the ten most popular magazines and the corresponding experiences (e.g., virtual objects). In another example, the server 110 may generate the first set of images based on the most popular or often scanned images received at the server 110). The core set of images corresponds to the most common set of features, which could construct a majority of the augmented reality objects in the experience.
With respect to claim 14, Hocquet as modified by Srikanth et al. and Mullins disclose the system of claim 13, for executing the method of claim 5; see rationale for rejection of claim 5.
With respect to claim 15, Hocquet as modified by Srikanth et al. and Mullins disclose the system of claim 13, for executing the method of claim 6; see rationale for rejection of claim 6.
With respect to claim 16, Hocquet as modified by Srikanth et al. and Mullins disclose the system of claim 13, for executing the method of claim 7; see rationale for rejection of claim 7.
Claim(s) 9 and 18 is/are rejected under 35 U.S.C. 103 as being unpatentable over Hocquet (WO 2020038872) in view of Srikanth et al. (U.S. PGPUB 20210174087) and further in view of Hare (U.S. PGPUB 20200359160).
With respect to claim 9, Hocquet as modified by Srikanth et al. and Hare disclose the computer-implemented method of claim 1, wherein the augmented reality (AR) object defined by the set of unique IDs is a dynamic AR object (Hocquet: paragraph 42, the lenses 2c can be displayed as transparent, but the tint 7, 8 can also be changed in different levels, so that a user can try on different tint levels 7, 8 of sunglasses in real time). However, Hocquet as modified by Srikanth et al. do not expressly disclose the registry correlating each reusable feature to the assigned unique ID is continuously updated according to a least recently used (LRU) algorithm.
Hare, who also deals with augmented reality, discloses a method wherein the registry correlating each reusable feature to the assigned unique ID is continuously updated according to a least recently used (LRU) algorithm (paragraph 50, the augmented reality device 12 may delete the oldest stored marker information and associated augmented reality content. As another example, the augmented reality device 12 may delete marker information and associated augmented reality content corresponding to a geographical area or location that is furthest away from the current area or location of the augmented reality device. As yet another example, the augmented reality device 12 may delete marker information and associated augmented reality content that is the least frequently used).
Hocquet, Srikanth et al., and Hare are in the same field of endeavor, namely computer graphics.
Before the effective filing date of the claimed invention, it would have been obvious to apply the method wherein the registry correlating each reusable feature to the assigned unique ID is continuously updated according to a least recently used (LRU) algorithm, as taught by Hare, to the Hocquet as modified by Srikanth et al. system, because the augmented reality device 12 has finite storage space, previously stored information may be deleted to make room for the marker information (associated with the marker 32) and the associated augmented reality content 34 (paragraph 29 of Hare).
With respect to claim 18, Hocquet as modified by Srikanth et al. and Hare disclose the system of claim 10, for executing the method of claim 9; see rationale for rejection of claim 9.
Conclusion
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure.
U.S. PGPUB 20250166318 to Tajima et al. for a method of determining virtual object IDs.
Any inquiry concerning this communication or earlier communications from the examiner should be directed to ANDREW GUS YANG whose telephone number is (571)272-5514. The examiner can normally be reached M-F 9 AM - 5:30 PM.
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If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Kent Chang can be reached at (571)272-7667. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300.
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/ANDREW G YANG/Primary Examiner, Art Unit 2614
7/18/26
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