CN115482325B - Picture rendering method, device, system, equipment and medium - Google Patents
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Abstract
The disclosure provides a method, a device, a system, equipment and a medium for rendering a picture, relates to the technical field of artificial intelligence, in particular to the technical fields of augmented reality, virtual reality, computer vision, deep learning and the like, and can be applied to scenes such as metauniverse, virtual digital people and the like. The implementation scheme is as follows: receiving user line-of-sight information uploaded by a first client of the at least one client; acquiring a first rendering diagram of a first foreground target in a virtual scene based on user sight information; and sending the first rendering graph to the first client, so that the first client fuses the received first rendering graph into the background scene rendering graph.
Description
Technical Field
The disclosure relates to the technical field of artificial intelligence, in particular to the technical fields of augmented reality, virtual reality, computer vision, deep learning and the like, which can be applied to scenes such as metauniverse, virtual digital people and the like, and particularly relates to a picture rendering method, a picture rendering device, a rendering system, electronic equipment, a computer readable storage medium and a computer program product.
Background
Artificial intelligence is the discipline of studying the process of making a computer mimic certain mental processes and intelligent behaviors (e.g., learning, reasoning, thinking, planning, etc.) of a person, both hardware-level and software-level techniques. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing, and the like; the artificial intelligence software technology mainly comprises a computer vision technology, a voice recognition technology, a natural language processing technology, a machine learning/deep learning technology, a big data processing technology, a knowledge graph technology and the like.
Metauniverse (Metaverse) is a novel virtual-real compatible internet application and social modality produced by integrating multiple new technologies, provides immersive experience based on an augmented reality technology, generates a mirror image of the real world based on a digital twin technology, builds an economic system based on a blockchain technology, integrates the virtual world with the real world closely on an economic system, a social system and an identity system, and allows each user to conduct content production and world editing.
The approaches described in this section are not necessarily approaches that have been previously conceived or pursued. Unless otherwise indicated, it should not be assumed that any of the approaches described in this section qualify as prior art merely by virtue of their inclusion in this section. Similarly, the problems mentioned in this section should not be considered as having been recognized in any prior art unless otherwise indicated.
Disclosure of Invention
The present disclosure provides a picture rendering method, apparatus, rendering system, electronic device, computer-readable storage medium, and computer program product.
According to an aspect of the present disclosure, there is provided a picture rendering method, where the method is applied to a cloud server of a rendering system, the rendering system further includes at least one client, and the method includes: receiving user sight line information uploaded by a first client in at least one client, wherein a virtual camera corresponding to the first client is positioned in a virtual scene to be rendered, and the user sight line information comprises coordinate information and pose information of the virtual camera in the virtual scene; acquiring a first rendering diagram of a first foreground target in a virtual scene based on user sight information; and sending the first rendering graph to the first client so that the first client fuses the received first rendering graph into a background scene rendering graph, wherein the background scene rendering graph is rendered by the first client for a background scene in the virtual scene based on the user sight information.
According to another aspect of the present disclosure, there is provided a picture rendering apparatus, wherein the apparatus is applied to a cloud server of a rendering system, the rendering system further including at least one client, the apparatus including: a receiving unit configured to receive user line-of-sight information uploaded by a first client of the at least one client, wherein a virtual camera corresponding to the first client is located in a virtual scene to be rendered, and the user line-of-sight information includes coordinate information and pose information of the virtual camera in the virtual scene; a first acquisition unit configured to acquire a first rendering map of a first foreground object in a virtual scene based on user line-of-sight information; and a transmitting unit configured to transmit the first rendering map to the first client, so that the first client merges the received first rendering map into a background scene rendering map, wherein the background scene rendering map is rendered by the first client for a background scene in the virtual scene based on the user line-of-sight information.
According to another aspect of the present disclosure, there is provided a rendering system, including a cloud server and at least one client, wherein the cloud server is configured to perform the following operations: receiving user sight line information uploaded by a first client in at least one client, wherein a virtual camera corresponding to the first client is positioned in a virtual scene to be rendered, and the user sight line information comprises coordinate information and pose information of the virtual camera in the virtual scene; acquiring a first rendering diagram of a first foreground target in a virtual scene based on user sight information; and sending the first rendering graph to the first client; and each of the at least one client is configured to perform the following: uploading the user sight line information corresponding to the client to a cloud server; based on the user sight information, obtaining a background scene rendering diagram corresponding to a background scene in the virtual scene; receiving a corresponding first rendering graph sent by a cloud server; and fusing the corresponding first rendering map into the background scene rendering map to obtain a virtual scene rendering map.
According to another aspect of the present disclosure, there is provided an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the picture rendering method.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the above-described picture rendering method.
According to another aspect of the present disclosure, there is provided a computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the above-described picture rendering method.
According to one or more embodiments of the present disclosure, the cloud server is applied to render complex elements such as a first foreground object in the virtual scene, and the client is used to render the background scene, so that the computing resource utilization of virtual scene rendering can be optimized, and the computing resource of the cloud server and the data transmission resource between the cloud-ends are saved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The accompanying drawings illustrate exemplary embodiments and, together with the description, serve to explain exemplary implementations of the embodiments. The illustrated embodiments are for exemplary purposes only and do not limit the scope of the claims. Throughout the drawings, identical reference numerals designate similar, but not necessarily identical, elements.
FIG. 1 illustrates a schematic diagram of an exemplary system in which various methods described herein may be implemented, in accordance with an embodiment of the present disclosure;
FIG. 2 illustrates a flow chart of a picture rendering method according to an embodiment of the present disclosure;
FIG. 3 illustrates a flowchart of acquiring a first rendering map according to an embodiment of the present disclosure;
FIG. 4 illustrates a flow chart of determining at least one center line of sight of a plurality of user lines of sight according to an embodiment of the present disclosure;
FIG. 5 illustrates a schematic view of a user line of sight and a user line of sight convergence surface in accordance with an exemplary embodiment of the present disclosure;
FIG. 6 illustrates a process flow diagram for a second rendering graph in accordance with an exemplary embodiment of the present disclosure;
fig. 7 illustrates a block diagram of a structure of a picture rendering apparatus according to an embodiment of the present disclosure;
FIG. 8 illustrates a schematic diagram of a rendering system according to an exemplary embodiment of the present disclosure;
fig. 9 illustrates a block diagram of an exemplary electronic device that can be used to implement embodiments of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In the present disclosure, the use of the terms "first," "second," and the like to describe various elements is not intended to limit the positional relationship, timing relationship, or importance relationship of the elements, unless otherwise indicated, and such terms are merely used to distinguish one element from another element. Furthermore, reference to a "first" element does not necessarily require that a "second" element be provided. In some examples, a first element and a second element may refer to the same instance of the element, and in some cases, they may also refer to different instances based on the description of the context.
The terminology used in the description of the various illustrated examples in this disclosure is for the purpose of describing particular examples only and is not intended to be limiting. Unless the context clearly indicates otherwise, the elements may be one or more if the number of the elements is not specifically limited. Furthermore, the term "and/or" as used in this disclosure encompasses any and all possible combinations of the listed items.
Currently, the meta-universe has become a new industrial hotspot of the internet. People can play in metaspace, show, social, game, etc. The metauniverse currently mentioned in the internet industry refers to a three-dimensional form of metauniverse.
The existing commercial meta-universe system requires a user to use a mobile phone or a virtual reality head-mounted display device as a display terminal, but the terminals do not have strong rendering capability, so that the problem of poor rendering image quality in some online release meetings and important online conferences is caused.
In order to improve the picture rendering quality, the rendering task is integrally migrated to the cloud in the related technology, but the rendering burden of the cloud is increased, the rendering capability of a client is wasted, and interaction delay is brought.
According to the embodiment of the disclosure, a picture rendering method is provided, wherein a cloud server is applied to render complex elements such as a first foreground object in a virtual scene, and a client is used to render a background scene, so that an end-cloud integrated rendering architecture can be realized, the utilization of computing resources of virtual scene rendering is optimized, and cloud computing resources and data transmission resources between the end and the cloud are saved.
Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 illustrates a schematic diagram of an exemplary system 100 in which various methods and apparatus described herein may be implemented, in accordance with an embodiment of the present disclosure. Referring to fig. 1, the system 100 includes one or more client devices 101, 102, 103, 104, 105, and 106, a server 120, and one or more communication networks 110 coupling the one or more client devices to the server 120. Client devices 101, 102, 103, 104, 105, and 106 may be configured to execute one or more applications.
In an embodiment of the present disclosure, the server 120 may run one or more services or software applications that enable execution of the picture rendering methods of the present disclosure.
In some embodiments, server 120 may also provide other services or software applications, which may include non-virtual environments and virtual environments. In some embodiments, these services may be provided as web-based services or cloud services, for example, provided to users of client devices 101, 102, 103, 104, 105, and/or 106 under a software as a service (SaaS) model.
In the configuration shown in fig. 1, server 120 may include one or more components that implement the functions performed by server 120. These components may include software components, hardware components, or a combination thereof that are executable by one or more processors. A user operating client devices 101, 102, 103, 104, 105, and/or 106 may in turn utilize one or more client applications to interact with server 120 to utilize the services provided by these components. It should be appreciated that a variety of different system configurations are possible, which may differ from system 100. Accordingly, FIG. 1 is one example of a system for implementing the various methods described herein and is not intended to be limiting.
The user may upload user gaze information using client devices 101, 102, 103, 104, 105, and/or 106. The client device may provide an interface that enables a user of the client device to interact with the client device. The client device may also output information to the user via the interface. Although fig. 1 depicts only six client devices, those skilled in the art will appreciate that the present disclosure may support any number of client devices.
Client devices 101, 102, 103, 104, 105, and/or 106 may include various types of computer devices, such as portable handheld devices, general purpose computers (such as personal computers and laptop computers), workstation computers, wearable devices, smart screen devices, self-service terminal devices, service robots, gaming systems, thin clients, various messaging devices, sensors or other sensing devices, and the like. These computer devices may run various types and versions of software applications and operating systems, such as MICROSOFT Windows, APPLE iOS, UNIX-like operating systems, linux, or Linux-like operating systems (e.g., GOOGLE Chrome OS); or include various mobile operating systems such as MICROSOFT Windows Mobile OS, iOS, windows Phone, android. Portable handheld devices may include cellular telephones, smart phones, tablet computers, personal Digital Assistants (PDAs), and the like. Wearable devices may include head mounted displays (such as smart glasses) and other devices. The gaming system may include various handheld gaming devices, internet-enabled gaming devices, and the like. The client device is capable of executing a variety of different applications, such as various Internet-related applications, communication applications (e.g., email applications), short Message Service (SMS) applications, and may use a variety of communication protocols.
Network 110 may be any type of network known to those skilled in the art that may support data communications using any of a number of available protocols, including but not limited to TCP/IP, SNA, IPX, etc. For example only, the one or more networks 110 may be a Local Area Network (LAN), an ethernet-based network, a token ring, a Wide Area Network (WAN), the internet, a virtual network, a Virtual Private Network (VPN), an intranet, an extranet, a blockchain network, a Public Switched Telephone Network (PSTN), an infrared network, a wireless network (e.g., bluetooth, WIFI), and/or any combination of these and/or other networks.
The server 120 may include one or more general purpose computers, special purpose server computers (e.g., PC (personal computer) servers, UNIX servers, mid-end servers), blade servers, mainframe computers, server clusters, or any other suitable arrangement and/or combination. The server 120 may include one or more virtual machines running a virtual operating system, or other computing architecture that involves virtualization (e.g., one or more flexible pools of logical storage devices that may be virtualized to maintain virtual storage devices of the server). In various embodiments, server 120 may run one or more services or software applications that provide the functionality described below.
The computing units in server 120 may run one or more operating systems including any of the operating systems described above as well as any commercially available server operating systems. Server 120 may also run any of a variety of additional server applications and/or middle tier applications, including HTTP servers, FTP servers, CGI servers, JAVA servers, database servers, etc.
In some implementations, server 120 may include one or more applications to analyze and consolidate data feeds and/or event updates received from users of client devices 101, 102, 103, 104, 105, and/or 106. Server 120 may also include one or more applications to display data feeds and/or real-time events via one or more display devices of client devices 101, 102, 103, 104, 105, and/or 106.
In some implementations, the server 120 may be a server of a distributed system or a server that incorporates a blockchain. The server 120 may also be a cloud server, or an intelligent cloud computing server or intelligent cloud host with artificial intelligence technology. The cloud server is a host product in a cloud computing service system, so as to solve the defects of large management difficulty and weak service expansibility in the traditional physical host and virtual private server (VPS, virtual Private Server) service.
The system 100 may also include one or more databases 130. In some embodiments, these databases may be used to store data and other information. For example, one or more of databases 130 may be used to store information such as audio files and video files. Database 130 may reside in various locations. For example, the database used by the server 120 may be local to the server 120, or may be remote from the server 120 and may communicate with the server 120 via a network-based or dedicated connection. Database 130 may be of different types. In some embodiments, the database used by server 120 may be, for example, a relational database. One or more of these databases may store, update, and retrieve the databases and data from the databases in response to the commands.
In some embodiments, one or more of databases 130 may also be used by applications to store application data. The databases used by the application may be different types of databases, such as key value stores, object stores, or conventional stores supported by the file system.
The system 100 of fig. 1 may be configured and operated in various ways to enable application of the various methods and apparatus described in accordance with the present disclosure.
According to some embodiments, as shown in fig. 2, there is provided a picture rendering method, where the method is applied to a cloud server of a rendering system, the rendering system further includes at least one client, and the method includes: step S201, receiving user sight line information uploaded by a first client side in at least one client side, wherein a virtual camera corresponding to the first client side is positioned in a virtual scene to be rendered, and the user sight line information comprises coordinate information and pose information of the virtual camera in the virtual scene; step S202, acquiring a first rendering diagram of a first foreground object in a virtual scene based on user sight information; and step S203, the first rendering diagram is sent to the first client, so that the first client merges the received first rendering diagram into a background scene rendering diagram, wherein the background scene rendering diagram is rendered by the first client for a background scene in the virtual scene based on the user sight information.
According to the embodiment of the disclosure, the cloud server is used for rendering complex elements such as the first foreground object in the virtual scene and the background scene is rendered through the client, so that an end-cloud integrated rendering architecture can be realized, the computing resource utilization of virtual scene rendering is optimized, and cloud computing resources and data transmission resources between the end and the cloud are saved.
In some embodiments, a rendering system of the present disclosure may include a cloud server, for example, a server 120 as shown in fig. 1, and at least one client, for example, a terminal device with a display panel, such as a mobile phone, a virtual reality head mounted display device, and the like.
The client can display the three-dimensional virtual scene (such as metauniverse) through the display panel of the terminal equipment, and the user can also perform corresponding interactive operation based on the three-dimensional virtual scene through the operation client.
For a virtual scene to be rendered, the virtual scene comprises a background scene and a first foreground object, wherein the first foreground object can comprise other virtual objects except the background scene. For example, the virtual scene is an automobile release meeting virtual scene, the corresponding background scene is a meeting scene, and the corresponding first foreground target can be a virtual host of the meeting and a virtual vehicle displayed by the release meeting. The virtual scene corresponds to a virtual space coordinate system, and the virtual models corresponding to the first foreground objects in the virtual scene all comprise coordinate information in the virtual space coordinate system.
When a user views the virtual scene through the client, the client corresponds to a virtual camera in the virtual scene, the virtual camera also contains corresponding coordinate information and pose information (namely rotation angle) outside the background scene, the information can jointly reflect the sight information of the user, the information can be obtained through a corresponding application program in the client, and the sight information of the user can be changed in response to the operation of the user.
In some embodiments, after the cloud server acquires the user line-of-sight information, the first foreground object in the virtual scene can be rendered for the user line-of-sight. In some embodiments, the cloud service end may render the first foreground object based on the rendering pipeline technology, specifically, may perform model transformation on a virtual model corresponding to the first foreground object based on the user line of sight information, perform geometric stage processing such as vertex coloring, clipping, projective transformation, screen mapping, and the like, and then perform rasterization stage processing such as triangle setting, triangle traversing, pigment coloring, fusion, and the like on the virtual model, so as to obtain a first rendering map corresponding to the user line of sight.
And after the first rendering graph is obtained, the first rendering graph can be sent to the client, wherein the first rendering graph can be a rectangular two-dimensional image formed by splicing two triangular patches, and part of pixels except the first foreground object are transparent. In some embodiments, the layer depth information corresponding to the first rendering map may be issued to the client at the same time, and the client may scale and fuse the first rendering map to a corresponding position in the background scene rendering map based on the layer depth information, so as to obtain a fused complete virtual scene rendering map corresponding to the user's line of sight, and display the virtual scene rendering map on a display panel of the client or a display panel of the virtual reality head-mounted display device.
The layer depth information may be obtained based on, for example, coordinate information of the virtual camera in the virtual space coordinate system and coordinate information of the first foreground object. In one example, the layer depth information may also be estimated based on a height or width of a corresponding image contour of the first foreground object under the user's line of sight and a height or width of a virtual model of the first foreground object.
Wherein the background scene rendering map may be rendered by the client based on rendering pipeline technology.
In some embodiments, the client may upload the user line-of-sight information to the cloud server in real time, where the cloud server feeds back, based on the corresponding information, the real-time first rendering map corresponding to the user line-of-sight in real time, and fuses the real-time first rendering map to the background scene rendering map obtained by real-time rendering, so as to display the three-dimensional virtual scene that changes in real time along with the user viewing angle to the user.
Therefore, through the picture rendering method, the calculation consumption of the cloud server can be further reduced, the bandwidth for transmitting the rendering picture is saved, the picture delay caused by the picture delay is avoided, and the real-time performance of three-dimensional virtual scene display is improved.
In some cases, the rendering system includes a plurality of clients, and the cloud service may simultaneously acquire a plurality of user line-of-sight information from the plurality of clients, respectively, at the same time.
According to some embodiments, as shown in fig. 3, based on the user gaze information, obtaining a first rendering map corresponding to a first foreground object in the virtual scene may include: step S301, based on the plurality of user sight line information, respectively determining a plurality of corresponding user sight lines; step S302, determining at least one central sight line of a plurality of user sight lines based on the plurality of user sight lines; step S303, for each central sight line in at least one central sight line, acquiring a second rendering diagram of the first foreground object corresponding to the central sight line based on the central sight line; and step S304, for each user sight line in at least one user sight line corresponding to the central sight line, acquiring a first rendering diagram corresponding to the user sight line based on the second rendering diagram and the user sight line.
Therefore, at least one central sight line is firstly obtained based on a plurality of user sight lines, only the picture corresponding to the central sight line is rendered, and then the picture of each user view angle is obtained through fitting, so that the calculation resources of cloud rendering are further saved, and the rendering efficiency is improved.
For a plurality of user sight line information from a plurality of clients, a user sight line corresponding to each user sight line information is determined.
In some embodiments, the user's line of sight may be a ray in the virtual space corresponding to the coordinate information and pose information of the virtual camera. In one example, the user's line of sight may be obtained from the coordinate information of the virtual camera and the coordinates of the central location of the first foreground object, which may be a ray directed by the virtual camera to the first foreground object.
In some exemplary embodiments, a plurality of user views corresponding to a plurality of clients may be obtained based on the above manner, and the plurality of user views may be combined based on a preset combining rule, so as to obtain at least one center view. The preset merging rule may be that a distance between the central sight line and the corresponding user sight line is smaller than a preset distance.
According to some embodiments, as shown in fig. 4, determining at least one center line of sight of the plurality of user lines of sight based on the plurality of user lines of sight comprises: step S401, determining a user sight converging surface of a first foreground object based on coordinate information of the first foreground object in a virtual space, wherein the user sight converging surface is a spherical surface taking the first foreground object as a center; step S402, determining a plurality of sight line intersection points of a plurality of user sight lines and a user sight line convergence surface; step S403, determining at least one sight line center point based on the plurality of sight line intersection points; and step S404, based on each of the at least one sight line center points, determining a corresponding center sight line of the sight line center point.
Therefore, at least one central sight intersection point is acquired based on the plurality of sight intersection points, so that the central sight can be acquired more accurately, and meanwhile, the calculated amount is reduced.
Fig. 5 shows a schematic view of a user line of sight and a user line of sight convergence surface in accordance with an exemplary embodiment of the present disclosure.
In some embodiments, as shown in fig. 5, the user gaze convergence surface 502 corresponding to the first foreground object 501 may be first determined based on coordinate information of the virtual model corresponding to the first foreground object in a virtual space coordinate system. The user's sight-converging surface 502 may be a sphere with the center point of the first foreground object 501 as the center of the sphere. Then, on the basis of acquiring each user's sight line 503, a sight line intersection point of each user's sight line 503 with the user's sight line convergence plane 502 may be acquired, respectively, and on the basis of acquiring a plurality of sight line intersection points, at least one sight line center point 504 may be determined. In some exemplary embodiments, the line of sight center may be determined based on a preset rule, which may be, for example, that a distance between the line of sight center and its corresponding line of sight intersection is less than a preset threshold.
After the line of sight center points are determined, their respective center line of sight may be determined based on each line of sight center point. In some exemplary embodiments, the central line of sight may be a ray whose respective line of sight center point is directed toward the center point of the first foreground object.
According to some embodiments, determining at least one gaze center point based on the plurality of gaze intersection points comprises: the plurality of line of sight intersections is clustered to determine at least one cluster center of the plurality of line of sight intersections as at least one line of sight center point.
In some embodiments, clustering of the plurality of sight-line intersection points may be performed by applying a Meanshift clustering algorithm, so that the solid line center point is obtained by clustering, and the obtained center sight-line effect is better and more suitable for subsequent affine transformation of images.
In some embodiments, after the at least one central line of sight is acquired, a corresponding second rendering map for each central line of sight may be acquired through the rendering pipeline technology described above, based on the perspective corresponding to each central line of sight. The second rendering map may then be mapped based on each user line of sight corresponding to the center line of sight, thereby obtaining a first rendering map corresponding to each user line of sight.
According to some embodiments, based on the second rendering map and the user line of sight, obtaining a corresponding first rendering map of the user line of sight includes: fitting to obtain a polygon boundary corresponding to the second rendering diagram based on the image boundary of the second rendering diagram; dividing the second rendering map into a plurality of triangular patches based on the polygon boundaries; and affine transformation is carried out on each triangular patch in the triangular patches based on the user sight line and the corresponding central sight line so as to acquire a first rendering diagram corresponding to the user sight line.
The method comprises the steps of obtaining a plurality of triangular patches of a second rendering diagram obtained by rendering based on a central sight line through boundary extraction, polygon fitting and triangulation, and carrying out affine transformation based on user sight line information and the central sight line, so that a first rendering diagram corresponding to the user sight line is obtained; therefore, the rendering graphs of each user view angle are not required to be rendered, the corresponding rendering graphs of different users can be obtained, the consumption of computing resources is reduced, and the rendering efficiency is improved.
Fig. 6 shows a process flow diagram for a second rendering graph according to an exemplary embodiment of the present disclosure.
As shown in fig. 6, contour extraction is first performed with respect to the second rendering map 601, thereby obtaining a rendering map 602 after contour extraction. In some exemplary embodiments, contour extraction of the second rendering map 601 may be performed by, for example, a flooding algorithm based on transparent pixels in the second rendering map 601.
The extracted outline may then be fitted to a polygon boundary for the rendered graph 602, thereby obtaining a rendered graph 603 with polygon boundaries, and in some exemplary embodiments, the polygon fitting of the outline may be performed by starting from any one pixel point on the outline, extending in a direction tangential to the outline line until the average distance between the outline line and the line is greater than a preset threshold, determining a vertex of a polygon boundary, and continuing the fitting based on the above manner until a closed polygon boundary is obtained.
Subsequently, the rendered graph 603 with the polygon boundaries may be triangulated (e.g., delauney triangulated) based on each vertex of the polygon boundaries, thereby obtaining a rendered graph 604 divided into a plurality of triangular patches.
In some embodiments, the contour of the two-dimensional image at its corresponding view angle and the corresponding polygon boundary may be first acquired based on the user view information, and the plurality of triangular patches of the polygon boundary may be acquired accordingly, and then each triangular patch in the second foreground rendering map may be mapped into the corresponding triangular patch in the contour of the two-dimensional image at the user view by affine transformation of the image, thereby acquiring the corresponding first rendering map at the user view
Therefore, when one virtual scene is watched by thousands of users at the same time, the user sights can be clustered into the central sights within 20 through the mode, and accordingly, the cloud server does not need to render the user sights uploaded by each user correspondingly, so that the computing resources of the cloud server are saved greatly, and meanwhile, the real-time performance of picture display is further improved.
According to some embodiments, as shown in fig. 7, there is provided a picture rendering apparatus 700, wherein the apparatus 700 is applied to a cloud server of a rendering system, the rendering system further includes at least one client, and the apparatus 700 includes: a receiving unit 710 configured to receive user line-of-sight information uploaded by a first client of the at least one client, wherein a virtual camera corresponding to the first client is located in a virtual scene to be rendered, and the user line-of-sight information includes coordinate information and pose information of the virtual camera in the virtual scene; a first obtaining unit 720 configured to obtain a first rendering map of a first foreground object in the virtual scene based on the user line-of-sight information; and a transmitting unit 730 configured to transmit the first rendering map to the first client, so that the first client merges the received first rendering map into a background scene rendering map, where the background scene rendering map is rendered by the first client for a background scene in the virtual scene based on the user line-of-sight information.
Operations performed by the units 710 to 730 in the above-mentioned picture rendering device 700 are similar to those of the steps S201 to S203 in the above-mentioned picture rendering method, and are not described herein.
According to some embodiments, the rendering system may include a plurality of clients, the cloud service may acquire a plurality of user line-of-sight information from the plurality of clients at the same time, respectively, and wherein the first acquiring unit may include: a first determination subunit configured to determine a respective plurality of user sights based on the plurality of user sight line information, respectively; a second determination subunit configured to determine at least one central line of sight of the plurality of user lines of sight based on the plurality of user lines of sight; and an execution subunit configured to perform, for each of the at least one central line of sight, operations of the following modules, the execution subunit comprising: a first acquisition module configured to acquire a second rendering map of a first foreground object corresponding to the center line of sight based on the center line of sight; and a second acquisition module configured to acquire, for each of at least one user line of sight corresponding to the center line of sight, a first rendering map corresponding to the user line of sight based on the second rendering map and the user line of sight.
According to some embodiments, the second determining subunit may comprise: the first determining module is configured to determine a user sight converging surface of the first foreground object based on coordinate information of the first foreground object in the virtual space, wherein the user sight converging surface is a spherical surface centering on the first foreground object; a second determining module configured to determine a plurality of line-of-sight intersections of the plurality of user lines of sight with the user line-of-sight converging surface; a third determination module configured to determine at least one line-of-sight center based on the plurality of line-of-sight intersection points; and a fourth determination module configured to determine, based on each of the at least one gaze center point, a respective central gaze of the gaze center point.
According to some embodiments, the third determination module may be further configured to: the plurality of line of sight intersections is clustered to determine at least one cluster center of the plurality of line of sight intersections as at least one line of sight center point.
According to some embodiments, the second acquisition module may be further configured to: fitting to obtain a polygon boundary corresponding to the second rendering diagram based on the image boundary of the second rendering diagram; dividing the second rendering map into a plurality of triangular patches based on the polygon boundaries; and affine transformation is carried out on each triangular patch in the triangular patches based on the user sight line and the corresponding central sight line so as to acquire a first rendering diagram corresponding to the user sight line.
According to some embodiments, there is provided a rendering system comprising a cloud server and at least one client, wherein the cloud server is configured to: receiving user sight line information uploaded by a first client in at least one client, wherein a virtual camera corresponding to the first client is positioned in a virtual scene to be rendered, and the user sight line information comprises coordinate information and pose information of the virtual camera in the virtual scene; acquiring a first rendering diagram of a first foreground target in a virtual scene based on user sight information; and sending the first rendering graph to the first client; and each of the at least one client is configured to perform the following: uploading the user sight line information corresponding to the client to a cloud server; based on the user sight information, obtaining a background scene rendering diagram corresponding to a background scene in the virtual scene; receiving a corresponding first rendering graph sent by a cloud server; and fusing the corresponding first rendering map into the background scene rendering map to obtain a virtual scene rendering map.
Fig. 8 shows a schematic diagram of a rendering system according to an exemplary embodiment of the present disclosure.
As shown in fig. 8, the rendering system includes a cloud server 810 and a client 820 therein, and is configured to perform the following operations: step S801, the client 820 uploads corresponding user line-of-sight information to the cloud server 810; step S802, the cloud service end 810 obtains a first rendering diagram of a first foreground object based on user sight line information; step 803, the cloud service 810 sends the first rendering graph to the corresponding client 820; step S804, the client 820 obtains a background scene rendering diagram corresponding to a background scene in the virtual scene based on the user sight information; and step S805, the client 820 merges the first rendering map into the background scene rendering map to obtain a virtual scene rendering map.
In some embodiments, the cloud server in the above-mentioned rendering system may also obtain the first rendering map by performing an operation similar to the above-mentioned image rendering method, which is not described herein.
According to embodiments of the present disclosure, there is also provided an electronic device, a readable storage medium and a computer program product.
Referring to fig. 9, a block diagram of an electronic device 900 that may be a server or a client of the present disclosure, which is an example of a hardware device that may be applied to aspects of the present disclosure, will now be described. Electronic devices are intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 9, the electronic device 900 includes a computing unit 901 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 902 or a computer program loaded from a storage unit 908 into a Random Access Memory (RAM) 903. In the RAM903, various programs and data required for the operation of the electronic device 900 can also be stored. The computing unit 901, the ROM 902, and the RAM903 are connected to each other by a bus 904. An input/output (I/O) interface 905 is also connected to the bus 904.
A number of components in the electronic device 900 are connected to the I/O interface 905, including: an input unit 906, an output unit 907, a storage unit 908, and a communication unit 909. The input unit 906 may be any type of device capable of inputting information to the electronic device 900, the input unit 906 may receive input numeric or character information and generate key signal inputs related to user settings and/or function control of the electronic device, and may include, but is not limited to, a mouse, a keyboard, a touch screen, a trackpad, a trackball, a joystick, a microphone, and/or a remote control. The output unit 907 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, video/audio output terminals, vibrators, and/or printers. Storage unit 908 may include, but is not limited to, magnetic disks, optical disks. The communication unit 909 allows the electronic device 900 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth (TM) devices, 802.11 devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.
The computing unit 901 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 901 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 901 performs the respective methods and processes described above, such as the above-described picture rendering method. For example, in some embodiments, the above-described picture rendering methods may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 908. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 900 via the ROM 902 and/or the communication unit 909. When a computer program is loaded into the RAM903 and executed by the computing unit 901, one or more steps of the above-described picture rendering method described above may be performed. Alternatively, in other embodiments, the computing unit 901 may be configured to perform the above-described picture rendering method by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially or in a different order, provided that the desired results of the disclosed aspects are achieved, and are not limited herein.
Although embodiments or examples of the present disclosure have been described with reference to the accompanying drawings, it is to be understood that the foregoing methods, systems, and apparatus are merely exemplary embodiments or examples, and that the scope of the present invention is not limited by these embodiments or examples but only by the claims following the grant and their equivalents. Various elements of the embodiments or examples may be omitted or replaced with equivalent elements thereof. Furthermore, the steps may be performed in a different order than described in the present disclosure. Further, various elements of the embodiments or examples may be combined in various ways. It is important that as technology evolves, many of the elements described herein may be replaced by equivalent elements that appear after the disclosure.
Claims (11)
1. A picture rendering method, wherein the method is applied to a cloud server of a rendering system, the rendering system further comprising a plurality of clients, the method comprising:
Receiving a plurality of user sight line information from the plurality of clients respectively, wherein a virtual camera corresponding to each client in the plurality of clients is positioned in a virtual scene to be rendered, and each user sight line information in the plurality of user sight line information comprises coordinate information and pose information of the virtual camera of the corresponding client in the virtual scene;
determining a corresponding plurality of user sights based on the plurality of user sight information, respectively;
determining at least one central line of sight of the plurality of user lines of sight based on the plurality of user lines of sight, wherein each central line of sight of the at least one central line of sight is obtained based on at least one first user line of sight of the plurality of user lines of sight corresponding to the central line of sight;
for each of the at least one central line of sight, performing the following:
based on the central sight line, acquiring a second rendering diagram of a first foreground object in the virtual scene, wherein the second rendering diagram corresponds to the central sight line; and
for each first user line of sight in at least one first user line of sight corresponding to the center line of sight, mapping the second rendering map based on the first user line of sight to obtain a first rendering map corresponding to the first user line of sight; and
And sending the first rendering diagram to a first client corresponding to the first user sight aiming at a first rendering diagram corresponding to each first user sight in at least one first user sight corresponding to the central sight, so that the first client merges the received first rendering diagram into a background scene rendering diagram, wherein the background scene rendering diagram is rendered by the first client aiming at a background scene in the virtual scene based on user sight information corresponding to the first client.
2. The method of claim 1, wherein the determining at least one center line of sight of the plurality of user lines of sight based on the plurality of user lines of sight comprises:
determining a user sight converging surface of the first foreground object based on coordinate information of the first foreground object in the virtual scene, wherein the user sight converging surface is a spherical surface taking the first foreground object as a center;
determining a plurality of sight intersection points of the plurality of user sights and the user sight convergence surface;
determining at least one line-of-sight center based on the plurality of line-of-sight intersections; and
based on each of the at least one line-of-sight center points, a respective center line of sight of that line-of-sight center point is determined.
3. The method of claim 2, wherein the determining at least one line-of-sight center based on the plurality of line-of-sight intersections comprises:
clustering the plurality of line of sight intersections to determine at least one cluster center of the plurality of line of sight intersections as the at least one line of sight center point.
4. The method of any of claims 1-3, wherein the mapping the second rendering map based on the first user line of sight to obtain a corresponding first rendering map for the first user line of sight comprises:
fitting to obtain a polygon boundary corresponding to the second rendering diagram based on the image boundary of the second rendering diagram;
dividing the second rendering map into a plurality of triangular patches based on the polygonal boundary; and
and carrying out affine transformation on each triangular patch in the plurality of triangular patches based on the first user sight line and the corresponding central sight line so as to acquire a first rendering diagram corresponding to the first user sight line.
5. A picture rendering apparatus, wherein the apparatus is applied to a cloud server of a rendering system, the rendering system further comprising a plurality of clients, the apparatus comprising:
a receiving unit configured to receive a plurality of user line-of-sight information from the plurality of clients, wherein a virtual camera corresponding to each of the plurality of clients is located in a virtual scene to be rendered, and each of the plurality of user line-of-sight information includes coordinate information and pose information of a virtual camera of a corresponding client in the virtual scene;
A first acquisition unit including:
a first determination subunit configured to determine a respective plurality of user sights based on the plurality of user sight line information, respectively;
a second determining subunit configured to determine, based on the plurality of user lines of sight, at least one central line of sight of the plurality of user lines of sight, wherein each of the at least one central line of sight is obtained based on a merging of at least one first user line of sight of the plurality of user lines of sight corresponding to the central line of sight; and
an execution subunit configured to perform, for each of the at least one central line of sight, operations of the following modules, the execution subunit comprising:
a first acquisition module configured to acquire a second rendering map corresponding to the center line of sight of a first foreground object in the virtual scene based on the center line of sight; and
a second obtaining module configured to, for each first user line of sight of at least one first user line of sight corresponding to the center line of sight, perform a mapping transformation on the second rendering map based on the first user line of sight to obtain a first rendering map corresponding to the first user line of sight; and
And a sending unit configured to send, for each central line of sight of the at least one central line of sight, a first rendering map corresponding to each first user line of sight of at least one first user line of sight corresponding to the central line of sight to a first client corresponding to the first user line of sight, so that the first client merges the received first rendering map into a background scene rendering map, where the background scene rendering map is rendered for a background scene in the virtual scene by the first client based on user line of sight information corresponding to the first client.
6. The apparatus of claim 5, wherein the second determination subunit comprises:
a first determining module configured to determine a user line-of-sight convergence surface of the first foreground object based on coordinate information of the first foreground object in the virtual scene, the user line-of-sight convergence surface being a spherical surface centered on the first foreground object;
a second determining module configured to determine a plurality of line-of-sight intersections of the plurality of user lines of sight with the user line-of-sight convergence surface;
a third determination module configured to determine at least one line-of-sight center based on the plurality of line-of-sight intersection points; and
And a fourth determination module configured to determine, based on each of the at least one line-of-sight center points, a center line of sight corresponding to the line-of-sight center point.
7. The apparatus of claim 6, wherein the third determination module is further configured to:
clustering the plurality of line of sight intersections to determine at least one cluster center of the plurality of line of sight intersections as the at least one line of sight center point.
8. The apparatus of any of claims 5-7, wherein the second acquisition module is further configured to:
fitting to obtain a polygon boundary corresponding to the second rendering diagram based on the image boundary of the second rendering diagram;
dividing the second rendering map into a plurality of triangular patches based on the polygonal boundary; and
and carrying out affine transformation on each triangular patch in the plurality of triangular patches based on the first user sight line and the corresponding central sight line so as to acquire a first rendering diagram corresponding to the first user sight line.
9. A rendering system comprises a cloud service end and a plurality of clients, wherein,
the cloud server is configured to perform the following operations:
receiving a plurality of user sight line information from the plurality of clients respectively, wherein a virtual camera corresponding to each client in the plurality of clients is positioned in a virtual scene to be rendered, and each user sight line information in the plurality of user sight line information comprises coordinate information and pose information of the virtual camera of the corresponding client in the virtual scene;
Determining a corresponding plurality of user sights based on the plurality of user sight information, respectively;
determining at least one central line of sight of the plurality of user lines of sight based on the plurality of user lines of sight, wherein each central line of sight of the at least one central line of sight is obtained based on at least one first user line of sight of the plurality of user lines of sight corresponding to the central line of sight;
for each of the at least one central line of sight, performing the following:
based on the central sight line, acquiring a second rendering diagram of a first foreground object in the virtual scene, wherein the second rendering diagram corresponds to the central sight line; and
for each first user line of sight in at least one first user line of sight corresponding to the center line of sight, mapping the second rendering map based on the first user line of sight to obtain a first rendering map corresponding to the first user line of sight; and
for a first rendering corresponding to each first user line of sight in at least one first user line of sight corresponding to the center line of sight, sending the first rendering to a client corresponding to the first user line of sight; and
each of the plurality of clients is configured to perform the following:
Uploading the user sight line information corresponding to the client to the cloud server;
based on the user sight information, obtaining a background scene rendering diagram corresponding to a background scene in the virtual scene;
receiving a corresponding first rendering graph sent by the cloud server; and
and fusing the corresponding first rendering graph into the background scene rendering graph to obtain a virtual scene rendering graph.
10. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the method comprises the steps of
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-4.
11. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-4.
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