KR20160130455A - Animation data generating method, apparatus, and electronic device - Google Patents

Abstract

This disclosure relates to the field of animation data processing techniques and provides methods, apparatus, and electrical apparatus for generating animation data. The method includes scanning a sequence frame picture extracted from a 3D model to parse out a valid small picture; Synthesizing each parsed-out valid small picture into a large picture according to a predetermined rule; Generating sequence frame data according to related property information of each valid small picture in the large picture; And generating 2D animation data from the sequence frame data.

Description

Technical Field [0001] The present invention relates to an animation data generation method, an animation data generation method,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present disclosure relates to the field of animation data processing technology, and more particularly, to a method, apparatus, and electronic apparatus for generating animation data.

At present, animation production is divided into 2D animation production and 3D animation production. The mainstream of 3D animation production software in the market is 3DS Max, Maya and others. Although the animation production software can be used to produce the desired 3D animation (implemented by creating a 3D model), professional animation production staff is required, and the production process is complicated and time consuming.

The current 2D animation production technology solution usually consists of two implementations. The first is hand-drawn animation. In this case, the sequence motion is hand-drawn frame by frame to produce the animation. In another method, a sequence frame extracted from an existing 3D model is used as a material for producing a 2D animation. For example, a sequence frame is extracted using a 3D model, and the extracted sequence frame is artificially corrected by hand. Specifically, a 3D model is used to generate a map and an action, and the map and the action are extracted as a sequence image on a frame-by-frame basis. The sequence image is artificially modified frame by frame to finally produce a 2D animation.

Although the above-described 2D animation production process is relatively simple, the two existing technical solutions described above still require a lot of manpower and time. Hand-drawn animation requires a lot of artwork and has high requirements for hand-drawing ability. The method of extracting a sequence frame by using a 3D model and manually applying an artistic correction to the extracted sequence frame requires the ability to draw by hand and the time requirement to be lower but still requires a high ability to draw by hand, Consumes.

To create animation data:

Scanning a sequence frame picture extracted from the 3D model to parse out a valid small picture;

Synthesizing each parsed-out valid small picture into a large picture according to a predetermined rule;

Generating sequence frame data according to related property information of each valid small picture in the large picture; And

Generating 2D animation data from the sequence frame data

.

The animation data generation apparatus comprises:

A scanning module configured to scan a sequence frame picture extracted from the 3D model to parse out a valid small picture;

A large picture composing module configured to synthesize each of the validated small pictures parsed out according to preset rules into a large picture;

A sequence frame data generation module configured to generate sequence frame data according to related property information of each valid small picture in the large picture; And

An animation data generation module configured to generate 2D animation data from the sequence frame data;

.

FIG. 1 is a schematic structural view showing an operating environment of an electronic device in which an animation data generating apparatus according to an embodiment of the present invention is located.
2 is a schematic flowchart of a method of generating animation data according to an embodiment of the present invention.
3 and 4 are schematic diagrams of effective pictures obtained by scanning a sequence frame picture extracted from a 3D model according to an embodiment of the present invention.
5 is a schematic structural view of an animation data generating apparatus according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS For a more complete understanding of the objects, technical solutions and beneficial effects of the present disclosure, reference will now be made in detail to the present disclosure, examples of which are illustrated in the accompanying drawings and embodiments. The particular embodiments described herein are for illustrative purposes only and are not intended to limit the present disclosure.

In the following description, unless otherwise stated, embodiments of the present disclosure will be described with reference to steps and numerical references to acts performed by one or more computers. Hence, such steps and operations, sometimes referred to as being performed by a computer, involve manipulation of the processing unit of the computer with respect to electrical signals representing data in a structured form. This manipulation translates the data or keeps it in place in the memory system of the computer, which reconfigures or changes the way the computer operation is understood by the ordinary artisan. The data structure that holds the data is the physical location of the memory with the specific properties defined by the data format. However, even though the present disclosure is described in the foregoing context, it is by no means meant to be limiting. As those skilled in the art will appreciate, the steps and operations described below may be implemented using hardware.

As used in this application, the terms "component," "module," "system," and the like also refer to a computer-related entity, either hardware or software, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to, a process, a processor, an object, an executable, a thread of execution, a program, and / or a computer running on a processor. By way of example, both an application running on a controller and its controller can be a component. One or more components may be in a process and / or thread of execution, and the components may be located on one computer and / or distributed on two or more computers.

In addition, the claimed invention may be embodied as a method, apparatus, or article of manufacture using standard programming and / or engineering techniques to control a computer to produce software, firmware, hardware, or combinations thereof embodying the methods, apparatus, . Herein, the term " article of manufacture " is intended to encompass a computer program accessible from any computer-readable device, carrier, or access medium. Of course, those of ordinary skill in the art will recognize that many other modifications may be made to this configuration without departing from the scope of protection of the claimed invention.

FIG. 1 and the following description are intended to provide a schematic and general description of the operating environment of an electronic device in which the animation data generating apparatus according to the present disclosure is located. The operating environment in FIG. 1 is merely an example of a suitable operating environment and is not intended to suggest any limitation as to the use or functional range of the operating environment. Exemplary electronic devices 112 include, but are not limited to, personal computers, server computers, portable or laptop computers, mobile devices (e.g., mobile phones, PDAs, or media players), multiprocessor systems, Mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.

Although not required, this embodiment is described with the general background that "computer readable instructions" are executed by one or more electronic devices. The computer readable instructions are distributed using a computer readable medium (described below). The computer readable instructions may be implemented as program modules, such as functions, objects, application programming interfaces (APIs), or data structures, for example, to perform certain tasks or to implement a particular abstract data type . Typically, the functions of the computer readable instructions may be randomly combined or distributed in various environments.

FIG. 1 shows an example of an electronic device 112 including one or more embodiments of the animation data generation apparatus of the present disclosure. In one configuration, the electronic device 112 includes at least one processor unit 116 and a memory 118. Depending on the exact configuration and type of electronic device, the memory 118 may be a volatile memory (e.g., RAM), a non-volatile memory (e.g., ROM or flash memory), or a combination thereof. The configuration is shown by the solid line 114 in Fig.

In other embodiments, the electronic device 112 may include additional features and / or functionality. For example, electronic device 112 may further include additional storage devices (e.g., removable and / or non-removable), which may include, but are not limited to, magnetic storage devices, optical storage devices, . Such additional storage is illustrated by storage device 120 in FIG. In one embodiment, the computer-readable instructions for implementing one or more embodiments provided herein may be stored in the storage device 120. The storage device 120 may also store additional computer readable instructions for implementing an operating system, application programs, and the like. The computer readable instructions may be loaded into memory 118 and executed, for example, by processing unit 116. [

 As used herein, the technical term "computer readable medium" includes computer storage media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented by any method or technology used to store other information or computer-readable instructions, such as data. Memory 118 and storage device 120 are examples of computer storage media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology; CD-ROM, DVD or other optical storage; Cassette tape, magnetic tape, magnetic disk storage or other magnetic storage devices; Or any other medium that can store the necessary information and which can be accessed by the electronic device 112. Any such computer storage media may be part of the electronic device 112.

The electronic device 112 also includes a communication connection 126 that allows the electronic device 112 to communicate with other devices. The communication connection 126 may include, but is not limited to, a modem, a network interface card (NIC), an embedded network interface, a radio frequency transmitter / receiver, an infrared port, a USB connection, And any interface for connecting to other electronic devices. The communication connection 126 may include a wired connection or a wireless connection. The communication connection 126 may transmit and / or receive a communication medium.

The term "computer readable medium" may include a communication medium. A communication medium typically includes computer readable instructions or other data in a "modulated data signal" such as a carrier wave or other transmission mechanism, and includes any information transmission medium. The term "modulated data signal" includes a signal that has one or more of its characteristic sets or has been modified to encode information in the signal.

The electronic device 112 includes an input device 124 such as a keyboard, a mouse, a pen, a voice input device, a touch input device, an infrared camera, a video input device, and / or any other input device. The electronic device 112 also includes an output device 122, such as, for example, one or more displays, speakers and printers, and / or any other output device. The input device 124 and the output device 122 may be connected to the electronic device 112 by a wired connection, a wireless connection, or a combination thereof. In one embodiment, an input device or output device of another electronic device may be used as input device 124 and output device 122 of electronic device 112.

The components of the electronic device 112 may be connected by various interconnects (e.g., buses). Such interconnects may include Peripheral Component Interconnect (PCI) (e.g., Fast PCI), USB, FireWire (IEEE 1394), optical bus structures, and the like. In another embodiment, the components of the electronic device 112 may be interconnected via a network. For example, the memory 118 may comprise a plurality of physical memory units located at different physical locations and may be interconnected by a network.

Those of ordinary skill in the art will appreciate that storage devices for storing computer-readable instructions may be distributed over a network. For example, the electronic device 130 accessed via the network 128 may store computer-readable instructions for implementing one or more embodiments provided by this disclosure. The electronic device 112 may access the electronic device 130 and download all or a portion of the computer-readable instructions for execution. Alternatively, the electronic device 112 may download a plurality of required computer-readable instructions, or some of the instructions may be executed on the electronic device 112 and some of the instructions may be executed on the electronic device 130. [

Various operations of the embodiments are provided herein. In one embodiment, one or more of the described operations may be configured with computer-readable instructions stored on one or more computer readable media, which, when executed by a computing device, cause the computing device to perform the operations described herein . The order in which some or all of these operations are described should not be interpreted that these operations are necessarily dependent on the order. Other orders may also be conceived by those skilled in the art in light of the advantages of the present description. It will also be appreciated that not all operations necessarily have to occur in all of the embodiments provided herein.

In addition, the word "exemplary" is used as an example or in the sense of being provided for the purpose of explanation. Any aspect or design described herein as "exemplary " is not always interpreted as having advantages over other aspects or designs. Rather, the use of the word "exemplary " is intended to illustrate the concept. As used in this application, the term "or" is used to mean "exclusive" or "not inclusive," or "inclusive." In other words, unless the context clearly dictates otherwise, Means that any combination is included: X employs A: X employs B: or if X employs both A and B, "X adopts A or B" Are met under all cases of these examples.

Moreover, even though one or more embodiments have been disclosed and illustrated, equivalent substitutions and modifications can be made by one of ordinary skill in the art based on reading and understanding the present disclosure and the accompanying drawings. This disclosure includes all such modifications and substitutions, and is limited only by the following claims. With respect to various functions performed by the components (e.g., elements, resources, etc.) described above, and in particular, terms used to describe such components, unless otherwise indicated, (E. G., Functionally equivalent) that performs the specified function of the described component, even if not structurally equivalent to the disclosed structure performing the function in the < / RTI > In addition, while specific features of the present disclosure may be disclosed for only one of several implementations, those features may be combined with one or more other features of other implementations if required and useful for a given or any given application have. In addition, the term " comprising, "" having ", or variations thereof, as used in the detailed description or claims, means open-ended in a sense similar to "comprising ".

In an embodiment of the present invention, a picture pixel scanning technique is used to scan a pixel of a sequence frame picture extracted from a 3D model, and invalid pixels are removed, thereby parsing out a valid small picture, The valid small picture thus parsed out is combined into a large picture, and the sequence frame data is generated in accordance with the related property information of each valid small picture in the large picture, and finally the 2D animation data is automatically generated from the sequence frame data It comes out. With the above described technical solution, the present disclosure achieves automatic processing of rendering 2D animation data in a 3D manner, which saves a lot of time in artistic modification of 2D animation and greatly reduces artistic requirements.

Referring to FIG. 2, FIG. 2 illustrates an animation data generation method according to an exemplary embodiment of the present invention. The method includes the following steps.

In step S101, the sequence frame picture extracted from the 3D model is scanned to parse out a valid small picture.

In the present embodiment of the invention, the existing 3D model can be used to extract the sequence frame picture, as shown in Fig. Fig. 3 shows pictures extracted from the 3D model on a frame-by-frame basis, and each frame of the picture is subjected to the processing shown in Fig. 4 (Fig. 4 shows only the process for the leftmost picture in Fig. 3). The sequence frame picture extracted from the 3D model is generally a rectangular picture, and the effective picture of each frame is located at the center of the frame. The picture data actually used in the animation is the middle picture, so that the useless neighboring pixels in the rectangular picture can be removed by using the picture pixel scanning technique, whereby the valid small picture can be parsed-out. Preferably, in this step, normalization processing may be performed on all the valid small pictures that have been parsed-out. In other words, it is possible to easily set the size parameters of all valid small pictures to the same value, and subsequently synthesize the effective small pictures into a large picture.

In this embodiment of the invention, the step of scanning a sequence frame picture extracted from the 3D model to parse out a valid small picture comprises:

Removing all invalid pixels from the scanned sequence frame picture extracted from the 3D model

A pixel whose data color value is 0x00000000 (RGBA) is defined as an invalid pixel, and a pixel whose data color value is not 0x00000000 (RGBA) is defined as a valid pixel.

In addition, the pixels of the sequence frame picture extracted from the 3D model are scanned in a predetermined direction (e.g., along four directions, i.e., from top to bottom, from bottom to top, from left to right, Right to left), and invalid pixels are removed, thereby obtaining small pictures of valid pixels.

As shown in Fig. 4, the four lines in Fig. 4 are scanning lines, and the scanning is repeated until the scanning lines in each direction meet at least one valid pixel, from top to bottom, from top to bottom, , Starting from right to left separately, and then scanning in this direction stops. A rectangle having four vertexes at the intersection of four lines is a valid picture obtained by scanning.

In this embodiment of the invention, the condition for determining whether a picture is valid is to determine whether the alpha channel of the color value is 0, the formula is as follows:

If the alpha channel of the color value is zero, then the pixel is considered an invalid pixel, and if the alpha channel of the color value is not zero, then the pixel is considered a valid pixel.

In step S102, each valid small picture that has been parsed out is synthesized into a large picture according to a preset rule.

As an embodiment of the present invention, the step of synthesizing each of the parsed-out valid small pictures into a large picture according to a preset rule comprises the following steps:

Setting a serial number of each valid small picture in advance; And

Arranging each valid small picture that has been parsed out according to the order of the serial number to form a large picture

And the small pictures do not overlap with each other.

As another embodiment of the present invention, the step of synthesizing each of the parsed-out valid small pictures into a large picture according to a preset rule comprises the following steps:

Arranging each valid small picture that has been parsed out according to the scanning order to form a large picture

And the small pictures do not overlap with each other.

As another embodiment of the present invention, the step of synthesizing each of the parsed-out valid small pictures into a large picture according to a preset rule includes the following steps:

Arranging the small pictures parsed out according to the sequence frame number to form a large picture

And does not overlap small pictures with each other.

For example, a large rectangle is formed according to the maximum length and maximum width of each valid small picture, a blank picture is generated with an area equal to the area of the large rectangle, a serial number is set for each valid small picture, These small pictures are then arranged at corresponding positions of the empty pictures according to their serial numbers. In this way, a large picture including all valid small pictures is formed.

However, whichever method is used, any solution is included in the scope of protection of the present invention as long as valid small pictures are arranged so that effective small pictures are not overlapped with each other to form a large picture. By combining a small picture with a large picture, a large picture can reduce the number of files of 2D animation data.

In step S103, the sequence frame data is generated according to the related property information of each valid small picture in the large picture.

In this embodiment of the present invention, the related property information of a small picture in a large picture mainly includes, but is not limited to, the following contents: a serial number of a small picture, coordinate information of a small picture in a large picture, .

In the present embodiment of the present invention, the sequence frame data is module data used in the animation data.

In this embodiment of the present invention, the step of generating the sequence frame according to the related property information of each valid small picture in the large picture includes:

Acquiring coordinate information of a small picture in a large picture, width information and height information of a small picture, and a serial number of a small picture from attributes of a large picture; And

The step of generating the sequence frame data from the coordinate information, the width information of the small picture and the height information, and the serial number of the small picture

.

In step S104, 2D animation data is generated from the sequence frame data.

In this embodiment of the invention, the step of generating 2D animation data from the sequence frame data comprises:

And generating 2D animation data from the sequence frame data in accordance with the order of the serial numbers.

In this embodiment of the present invention, a tool may be used to construct sequence frame data as animation data corresponding to game development. In the actual development process, the sequence frame data needs to be configured according to the data structure of the corresponding game animation. In a game, an animation effect is achieved by reproducing a sequence frame of an animation frame by frame.

The animation data generation method described above can achieve an automatic process of rendering 2D animation data in the 3D method, surely reduce the amount of time required for artistic modification of the 2D animation, and greatly reduce artistic requirements.

5 is a schematic block diagram of an apparatus for generating animation data according to an embodiment of the present invention. For convenience of explanation, Fig. 5 shows only the part related to the present embodiment of the present invention. The animation data generation apparatus includes a scanning module 101, a large picture synthesis module 102, a sequence frame data generation module 103, and an animation data generation module 104. The animation data generation device may be a software unit, a hardware unit, or a unit combining hardware and software embedded in an electronic device.

The scanning module 101 is configured to scan a sequence frame picture extracted from the 3D model to parse out a valid small picture.

The large picture composition module 102 is configured to synthesize each of the validated small pictures parsed out into a large picture according to a predetermined rule.

The sequence frame data generation module 103 is configured to generate the sequence frame data according to the related property information of each valid small picture in the large picture.

In the present embodiment of the present invention, the sequence frame data is module data used in the animation data.

The animation data generation module 104 is configured to generate 2D animation data from the sequence frame data.

In this embodiment of the present invention, as shown in Fig. 4, the sequence frame picture extracted from the 3D model is a substantially rectangular picture, and the valid picture of each frame is located at the center of the frame. The picture data actually used in the animation is the middle picture, and thus the useless peripheral pixels of the rectangular picture can be eliminated using the picture pixel scanning technique, thereby parsing out a valid small picture.

In the present embodiment of the invention, the scanning module 101 specifically removes all invalid pixels from the scanned sequence frame picture extracted from the 3D model to obtain a small picture of valid pixels. A pixel whose data color value is 0x00000000 (RGBA) is defined as an invalid pixel, and a pixel whose data color value is not 0x00000000 (RGBA) is defined as a valid pixel.

In addition, the scanning module 101 may be configured to read from the 3D model until valid pixel data is scanned, one by one, in a predetermined direction (e.g., from top to bottom, from bottom to top, from left to right, or from right to left) To scan the pixels of the extracted sequence frame picture, and to remove the invalid pixels, thereby obtaining a small picture of valid pixels.

As shown in Fig. 4, the four lines in Fig. 4 are scanning lines, and the scanning is repeated until the scanning lines in each direction meet at least one valid pixel, from top to bottom, from top to bottom, , Starting from right to left separately, and then scanning in this direction stops. A rectangle having four vertexes at the intersection of four lines is a valid picture obtained by scanning.

In this embodiment of the invention, the condition for determining whether a picture is valid is to determine whether the alpha channel of the color value is 0, the formula is as follows:

If the alpha channel of the color value is zero, then the pixel is considered an invalid pixel, and if the alpha channel of the color value is not zero, then the pixel is considered a valid pixel.

As an embodiment of the present invention, the animation data generation apparatus further includes:

A serial number setting module configured to set a serial number for each valid small picture,

At this time, the large picture synthesis module 102 is further configured to arrange a large picture by arranging each valid small picture that has been parsed-out according to the order of the serial numbers, and the small pictures do not overlap with each other.

As another embodiment of the present invention, the large picture composition module 102 is configured to arrange a large picture by arranging each parsed-out small picture in accordance with the scanning order, and the small pictures are superimposed on each other Do not.

As another embodiment of the present invention, the large picture composing module 102 is configured to arrange a large picture by arranging valid small pictures parsed out according to a sequence frame number, and the small pictures do not overlap each other .

For example, a large rectangle is formed according to the maximum length and maximum width of each valid small picture, a blank picture is generated with an area equal to the area of the large rectangle, a serial number is set for each valid small picture, These small pictures are then arranged at corresponding positions of the empty pictures according to their serial numbers. In this way, a large picture including all valid small pictures is formed.

However, whichever method is used, any solution is included in the scope of protection of the present invention as long as valid small pictures are arranged so that effective small pictures are not overlapped with each other to form a large picture. By combining a small picture with a large picture, a large picture can reduce the number of files of 2D animation data.

As an embodiment of the present invention, the animation data generation apparatus further includes an acquisition module.

The acquisition module is configured to acquire, from attributes of a large picture, coordinate information of a small picture in a large picture, width information and height information of a small picture, and serial number of a small picture.

The sequence frame data generation module 103 is further configured to generate the sequence frame data from the coordinate information, the width information of the small picture and the height information, and the serial number of the small picture.

The above-described animation data generation apparatus can achieve an automatic process of rendering 2D animation data in a 3D system, significantly reduce the amount of time required for artistic modification of 2D animation, and significantly reduce artistic requirements.

The realization process of the animation data generation method provided by the embodiment of the present invention will be described in detail below.

First, when the pixels of the sequence frame picture extracted from the 3D model are scanned in four directions, i.e., from top to bottom, from bottom to top, from left to right, from right to left, when the scanning lines in each direction meet at least one valid pixel , And then scanning in this direction is stopped. Invalid pixels are removed from the scanned sequence frame picture extracted from the 3D model to obtain a small picture with valid pixels, and a rectangle with four vertices at the intersection of the four solid lines in Fig. 4 is obtained by scanning.

Then, a large rectangle is formed according to the maximum length and the maximum width of each valid small picture, a blank picture having an area equal to the area of a large rectangle is generated, a serial number is set for each valid small picture, Small pictures are placed at corresponding positions of the empty pictures according to the serial number. In this way, a large picture with all valid small pictures is formed.

Then, the coordinate information of the small picture in the large picture, the width information and the height information of the small picture, and the serial number of the small picture are obtained from the attributes of the large picture, and the sequence frame data includes the coordinate information, , And the serial number of the small picture.

Finally, a tool is used to construct the sequence frame data as animation data corresponding to game development.

Consequently, in the present disclosure, valid pixel pictures can be parsed-out by scanning pixels of a sequence frame picture extracted from a 3D model using a picture pixel scanning technique and controlling invalid pixels, The valid small picture is combined into a large picture, and the sequence frame data is generated according to the related property information of each valid small picture in the large picture, and as a result, the 2D animation data is automatically generated from the sequence frame data. With the above described technical solution, the present disclosure achieves an automatic process of rendering 2D animation data in a 3D manner, which saves a lot of time for artistic modification of 2D animation and greatly reduces artistic requirements.

It will be appreciated by those of ordinary skill in the art that any or all of the processes in the method according to the present embodiments may be implemented by a program that directs the associated hardware. The program may be stored in a computer-readable storage medium. The storage medium may be ROM / RAM, magnetic disk, optical disk, or the like.

The foregoing description is only a preferred embodiment of the present invention and is not intended to limit the present invention. All changes, equivalents, or improvements that come within the scope of the principles or artifacts of the present invention are within the scope of protection of the present invention.

Claims (14)

A method for generating animation data,
Scanning a sequence frame picture extracted from the 3D model to parse out a valid small picture;
Synthesizing each parsed-out valid small picture into a large picture according to a predetermined rule;
Generating sequence frame data according to related property information of each valid small picture in the large picture; And
Generating 2D animation data from the sequence frame data
And generating animation data. The method according to claim 1,
Scanning the sequence frame picture extracted from the 3D model to parse out a valid small picture,
And removing invalid pixels from the scanned valid small picture extracted from the 3D model to obtain a small picture of valid pixels. 3. The method of claim 2,
Removing invalid pixels from the scanned valid small picture extracted from the 3D model to obtain a small picture of valid pixels,
Scanning the pixels of the sequence frame picture extracted from the 3D model one by one in a predetermined direction until valid pixel data is scanned and removing invalid pixels to obtain a small picture of valid pixels, Data generation method. The method according to claim 1,
Synthesizing each parsed-out valid small picture into a large picture according to the preset rule,
Setting a serial number for each valid small picture in advance; And
Arranging a valid small picture of each parity-out in accordance with the order of the serial numbers to form a large picture
Wherein the small pictures do not overlap with each other. The method according to claim 1,
Synthesizing each parsed-out valid small picture into a large picture according to the preset rule,
Arranging each valid small picture that has been parsed out according to the scanning order to form a large picture
Wherein the small pictures do not overlap with each other. The method according to claim 1,
Synthesizing each parsed-out valid small picture into a large picture according to a predetermined rule,
Arranging the valid small picture that has been parsed out according to the sequence frame number to form a large picture
Wherein the small pictures do not overlap with each other. The method according to claim 1,
Wherein generating the sequence frame data in accordance with the related property information of each valid small picture in the large picture comprises:
Obtaining coordinate information of a small picture in the large picture, width information and height information of the small picture, and a serial number of the small picture from the attribute of the large picture; And
Generating the sequence frame data from the coordinate information, the width information of the small picture and the height information, and the serial number of the small picture
And generating animation data. An animation data generation apparatus comprising:
A scanning module configured to scan a sequence frame picture extracted from the 3D model to parse out a valid small picture;
A large picture composing module configured to synthesize each of the validated small pictures parsed out according to preset rules into a large picture;
A sequence frame data generation module configured to generate sequence frame data according to related property information of each valid small picture in the large picture; And
An animation data generation module configured to generate 2D animation data from the sequence frame data;
The animation data generating apparatus comprising: 9. The method of claim 8,
Wherein the scanning module is configured to specifically remove invalid pixels from the scanned valid small picture extracted from the 3D model to obtain a small picture of valid pixels. 10. The method of claim 9,
The scanning module specifically scans the pixels of the sequence frame picture extracted from the 3D model one by one in a predetermined direction until valid pixel data is scanned and removes invalid pixels to acquire a small picture of valid pixels Wherein the animation data generating device is configured to generate animation data. 9. The method of claim 8,
Further comprising a serial number setting module configured to set a serial number for each valid small picture,
Wherein the serial number setting module is further configured to form a large picture by arranging valid small pictures that have been parsed out in the order of the serial numbers,
The small pictures do not overlap with each other. 9. The method of claim 8,
The large picture composition module is structured so as to arrange a large picture by arranging each valid small picture which has been parsed out according to a scanning order,
The small pictures do not overlap with each other. 9. The method of claim 8,
The large picture composing module is configured to arrange the valid small picture that has been parsed out according to the sequence frame number to form a large picture,
The small pictures do not overlap with each other. 9. The method of claim 8,
Further comprising an acquiring module configured to acquire, from an attribute of the large picture, coordinate information of a small picture in the large picture, width information and height information of the small picture, and serial number of the small picture,
Wherein the sequence frame data generation module is further configured to generate the sequence frame data from the coordinate information, the width information and the height information of the small picture, and the serial number of the small picture.

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