CN112581417A - Facial expression obtaining, modifying and imaging system and method - Google Patents
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- 238000003384 imaging method Methods 0.000 title claims abstract description 32
- 230000008921 facial expression Effects 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000014509 gene expression Effects 0.000 claims abstract description 199
- 238000005034 decoration Methods 0.000 claims abstract description 68
- 238000012545 processing Methods 0.000 claims abstract description 35
- 230000002452 interceptive effect Effects 0.000 claims abstract description 17
- 230000003993 interaction Effects 0.000 claims abstract description 15
- 230000007935 neutral effect Effects 0.000 claims description 25
- 238000012986 modification Methods 0.000 claims description 22
- 230000004048 modification Effects 0.000 claims description 22
- 238000012549 training Methods 0.000 claims description 16
- 238000007639 printing Methods 0.000 claims description 15
- 238000005096 rolling process Methods 0.000 claims description 4
- 239000003607 modifier Substances 0.000 claims description 2
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
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Abstract
The application relates to a facial expression obtaining, modifying and imaging system, which comprises a server, wherein the server is connected with a plurality of interaction systems through a network; each interactive system comprises a portrait acquisition module, an expression module, a decoration imaging module, a network module and a processing module; the portrait acquisition module comprises a camera and is used for shooting a portrait to obtain a portrait image; the expression module is used for constructing an expression recognition model, inputting the portrait image shot by the portrait acquisition module into the expression recognition model, and outputting the portrait image in a plurality of expression categories. The application has the following effects: the method comprises the steps of obtaining a portrait image for a user, identifying the expression type of the current user for the portrait image, calling a background image in the corresponding expression type as a background to modify the portrait image, and outputting the modified image on a display; by outputting the backgrounds suitable for the expressions to different expression categories, the interaction effect of the equipment is greatly improved, and the playability is improved.
Description
Technical Field
The present application relates to the field of information processing, and in particular, to a facial expression obtaining and modifying imaging system and method.
Background
Along with the development of internet technology, the intelligent device is applied to the side, and in different tourist attractions, some intelligent photographing devices can be put in by tourists for the tourist to take photos.
In the related art, a user stands in front of a lens of an intelligent photographing apparatus, and photographs of the user are taken and projected on a display.
In view of the above-mentioned related technologies, the inventors consider that the device interactivity in the related technologies is not strong, and cannot meet more requirements of youngsters in the new era, and the playability is not sufficient.
Disclosure of Invention
In order to improve the interactivity with the user, the application provides a facial expression acquisition modification imaging system and method.
On one hand, the facial expression obtaining and modifying imaging system provided by the application adopts the following technical scheme:
a facial expression obtaining, modifying and imaging system comprises a server, wherein the server is connected with a plurality of interaction systems through a network;
each interactive system comprises a portrait acquisition module, an expression module, a decoration imaging module, a network module and a processing module;
the portrait acquisition module comprises a camera and is used for shooting a portrait to obtain a portrait image;
the expression module comprises an expression recognition model and is used for inputting the portrait image shot by the portrait acquisition module into the expression recognition model and outputting the portrait image in a plurality of expression categories;
the decoration imaging module comprises a data set unit and a display unit;
the data set unit comprises a plurality of decoration data sets, background images are stored in the decoration data sets, and each decoration data set corresponds to the expression category output by the expression module; the processing module is used for calling a background image in the corresponding decoration data set as the background of the portrait image according to the expression type output of the expression module to obtain a decoration image and outputting the decoration image on the display unit;
the processing module comprises a processing unit and a storage unit, and the storage unit is used for storing the decoration image; the processing unit is used for uploading the decoration image to the server through a network module;
the network module is used for data intercommunication between the server and the plurality of interactive systems.
By adopting the technical scheme, the portrait image is acquired for the user, the expression type of the current user is identified for the portrait image, the background image is called as the background in the corresponding expression type to modify the portrait image, and the modified image is obtained and output on the display;
by outputting the backgrounds suitable for the expressions to different expression categories, the interaction effect of the equipment is greatly improved, and the playability is improved.
Optionally, the expression category output includes a positive expression, a neutral expression, or a negative expression.
By adopting the technical scheme, the expression of the user is identified, the expression types are output according to the positive expression, the neutral expression or the negative expression, the background images suitable for different expressions are improved, and the interaction effect with the user is improved.
Optionally, the modifier data set includes a positive expression data set, a neutral expression data set, and a negative expression data set, which correspond to the positive expression, the neutral expression, or the negative expression, respectively.
By adopting the technical scheme, different expression types correspond to one expression data set, the positive expression type corresponds to the positive expression data set, the neutral expression type corresponds to the neutral expression data set, the negative expression type corresponds to the negative expression data set, and after different expression types are output, the background image which is suitable for the expression is called in the corresponding expression data set as the background of the portrait image, so that the interaction effect with a user is improved, and the playability is improved.
Optionally, the interactive system further includes an output module, where the output module includes a printing unit and a code scanning unit;
the printing unit is controlled by the processing module and is used for printing the decoration image;
the code scanning unit is used for generating a two-dimensional code, and the decoration image is recorded in the two-dimensional code.
By adopting the technical scheme, after the system is used, the user can decorate the image of the human image to the decorated image, and the user can store the decorated image to the decorated unit or by scanning the two-dimensional code through the printing unit.
Optionally, the expression module includes a known expression set unit and a training unit;
the known expression set unit is used for storing known expression images; the training unit is used for training by using the known expression image as a sample to obtain the expression recognition model.
By adopting the technical scheme, the expression recognition model is trained through the known expressions stored in the training unit, the recognition effect of the expression recognition model on the portrait image is improved, and the accuracy is improved.
Optionally, the interactive system further includes a comment entering module, and the comment entering module is configured to enter a comment of the user on the scenic spot, and scroll and display the comment on the display unit in one-to-one correspondence with the decoration image of the current user.
By adopting the technical scheme, the comment entering module is used for entering the comment of the user on the scenic spot, and displaying the comment content and the modification image of the user on the display unit in a rolling manner, so that the interaction with other subsequent users is improved, and the interaction of the interactive system is further improved.
On the other hand, the method for obtaining the modified imaging by the facial expression provided by the application adopts the following technical scheme:
a facial expression acquisition modification imaging method comprises the following steps:
shooting a user through a camera, and removing a background according to a portrait outline in a portrait image to obtain a portrait image;
inputting the portrait image into an expression recognition model, and outputting a positive expression category, a negative expression category or a neutral expression category;
and the processing module selects a decoration data set corresponding to the output expression category according to the expression category output result of the expression recognition model, calls a background image in the corresponding decoration data set as the background of the portrait image to obtain a decoration image and outputs the decoration image on the display unit.
By adopting the technical scheme, the portrait image is acquired from the user, the expression type of the current user is identified for the portrait image, the background image is called as the background in the corresponding expression type to modify the portrait image, and the modified image is obtained and output on the display; the interactive effect of the equipment is greatly improved by outputting the backgrounds suitable for the expressions to different expression categories.
Optionally, after the output of the decoration image on the display unit, the method further includes the steps of:
the processing module controls the printing unit to print the decoration image, or controls the code scanning unit to generate a two-dimensional code recorded with the decoration image for a user to scan and download the code.
By adopting the technical scheme, after the system is used, the user can decorate the image of the human image to the decorated image, and the user can store the decorated image to the decorated unit or by scanning the two-dimensional code through the printing unit.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method comprises the steps of obtaining a portrait image for a user, identifying the expression type of the current user for the portrait image, calling a background image in the corresponding expression type as a background to modify the portrait image, and outputting the modified image on a display; by outputting the backgrounds suitable for the expressions to different expression categories, the interaction effect of the equipment is greatly improved, and the playability is improved.
2. Different expression types correspond to one expression data set, the positive expression type corresponds to the positive expression data set, the neutral expression type corresponds to the neutral expression data set, the negative expression type corresponds to the negative expression data set, after different expression types are output, a background image which is suitable for the expression is called in the corresponding expression data set to serve as the background of the portrait image, the interaction effect between the portrait image and a user is improved, and therefore the playability is improved.
3. The comment input module is used for inputting comments of the user on the scenic spot, and displaying the comment content and the modification image of the user on the display unit in a rolling mode, so that interaction with other subsequent users is improved, and interaction of the interaction system is further improved.
Drawings
Fig. 1 is a schematic diagram of a facial expression acquisition retouching imaging system according to the present application.
Fig. 2 is a schematic diagram of an interactive system of the facial expression acquisition retouching imaging system according to the present application.
Fig. 3 is a flowchart of facial expression acquisition modification imaging according to the present application.
Description of reference numerals:
100. a server; 101. and (4) an interactive system.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
Example 1:
the embodiment of the application discloses a facial expression acquisition modification imaging system.
As shown in fig. 1, the system includes a cloud server 100, and the cloud server 100 is connected to a plurality of interactive systems 101 through a network. Each interactive system 101 is placed at a tourist attraction.
As shown in fig. 3, each interactive system 101 includes a portrait acquisition module, an expression module, a decoration imaging module, a network module, a processing module, an output module, and a comment entry module.
The portrait acquisition module comprises a camera, the camera is used for acquiring a portrait image of a user, the user stands before the camera, and the camera shoots the user to obtain a photo of the user as the portrait image.
The expression module comprises an expression recognition model, an expression set unit and a training unit, wherein the expression set unit stores known expression images, the known expression images are recorded in the whole network, and the known expression images comprise positive expressions, such as: split teeth, joy, excitement; neutral expressions, such as: no expression, smile; negative expressions, for example: anger, fear, and disgust. The number of each expression image as a training sample is not less than 5000.
The training unit is used for training by using the known expression images in the expression set unit as samples to obtain an expression recognition model, and the training unit is a processor of a local computer. The establishment of the expression recognition model is the establishment of a neural network, and is a conventional means in the field, and the expression recognition model and the training of the expression recognition model are not described in the embodiment. The expression recognition model outputs expression category results to the input expression images, wherein the expression category results comprise positive expression results, neutral expression results and negative expression results.
The retouching imaging module includes a data set unit and a display unit.
The data set unit comprises a plurality of modification data sets, mapping association is formed between each modification data set and the expression result, and each expression result corresponds to one modification data set.
The modified data set is: a positive expression dataset, a neutral expression dataset, and a negative expression dataset. The positive expression dataset corresponds to a positive expression result, and the positive expression dataset stores background images that are consistent with the positive expression, for example: sunshine, cartoon, delicacy house; the neutral expression dataset corresponds to a neutral expression result, and the neutral expression dataset stores background images which are consistent with the neutral expressions, for example: mountain rivers, grasslands and landscapes; the negative expression dataset corresponds to a negative expression result, and the negative expression dataset stores background images corresponding to negative expressions, such as: overcast and rainy night.
The display unit is a display, and the processing module calls a background image in a decoration data set corresponding to the expression result output by the expression recognition model, and the background image is used as the background of the portrait image and is output on the display.
In this embodiment, the processing module is a local computer, the processing unit is a processor CPU of the computer, the storage unit is a memory, the processing unit obtains an expression output category of the expression recognition model and associates the expression output category with a corresponding decoration data set, a background image is called from the corresponding decoration data set as a background of the portrait image, and before the portrait image is given a background, an original background of the portrait image needs to be scratched out first, so as to obtain the decoration image.
The processing unit stores the decoration image in the memory.
The network module is an internet, and is used for data communication between the server 100 and each interactive system 101, and the processing unit may upload the decoration image to the server 100 through the network module, and may communicate through a network cable connection or a WiFi network.
The output module comprises a printing unit and a code scanning unit;
the printing unit comprises a printer, the printer is controlled by the processing unit, after the decoration image is formed, the processing unit sends an instruction to the printer, the printer prints the decoration image, and a user receives the entity printing image.
The code scanning unit comprises a two-dimensional code displayed on a display, the two-dimensional code is used for a user to scan and obtain a decoration image, and the two-dimensional code is attached with the decoration image in a JPG format or can jump to a URL link of the decoration image.
And the comment entering module is used for entering a comment on the scenic spot in the text input box after the decoration image is formed, and the processing unit is used for associating the decoration image with the comment text and displaying the comment text in a bullet screen rolling mode on the display.
The implementation principle of the facial expression acquisition modification imaging system in the embodiment of the application is as follows:
the camera acquires a portrait image for a user, the portrait image is input into the expression recognition model, the expression type of the portrait image output by the expression recognition model is a positive expression type, a neutral expression type or a negative expression type, the processing unit is associated with a corresponding decoration data set according to the output type result of the expression recognition model, the background image is called in the corresponding decoration data set to serve as the background of the portrait image, and the decoration image is output to the user through the code scanning unit or the printing unit.
Example 2:
the embodiment of the application discloses a facial expression obtaining, modifying and imaging method.
As shown in fig. 3, the method comprises the following steps:
photographing a user through a camera to obtain a portrait image;
extracting a facial image from the portrait image, wherein the facial image is used as an input image of an expression recognition model, in this embodiment, OpenCV open source software is used to extract the facial image from the portrait image, and of course, other facial image extraction methods may also be adopted;
after the face image is obtained, the face image is input into the expression recognition model.
The method comprises the steps of establishing an expression recognition model, training the expression recognition model, and obtaining the expression recognition model by using a known expression image in an expression set unit as a sample.
After the expression recognition model is obtained, inputting the facial image into the expression recognition model, and outputting the expression type corresponding to the facial image, wherein the output result of the expression recognition model comprises: a positive expression category, a negative expression category, or a neutral expression category;
under the condition that the output result is the positive expression type, the processing unit randomly calls a background image from the positive expression data set as the background of the portrait image, and combines the two image layers to obtain a decoration image; before background image modification is performed on the human image, background removal needs to be performed on the human image, and remove the human image by removing motion.
Under the condition that the output result is the neutral expression type, the processing unit randomly calls a background image from the neutral expression data set as the background of the portrait image, and combines the two image layers to obtain a decoration image; before background image modification is performed on the human image, background removal needs to be performed on the human image, and remove the human image by removing motion.
Under the condition that the output result is the negative expression category, the processing unit randomly calls a background image from the negative expression data set as the background of the portrait image, and combines the two image layers to obtain a decoration image; before background image modification is performed on the human image, background removal needs to be performed on the human image, and remove the human image by removing motion.
Outputting the decoration image on a display;
the method also comprises the following steps of: the processing unit controls the printer to work and prints the decoration image into an entity;
the processing unit encodes the decoration image to form a two-dimensional code, and the two-dimensional code is projected on a display for scanning and downloading by a user.
The implementation principle of the facial expression obtaining and modifying imaging method in the embodiment of the application is as follows:
the camera acquires a portrait image for a user and extracts a facial image,
the method comprises the steps that an expression recognition model is obtained by a training unit by taking an expression image in an expression set unit as a training sample, a facial image is input into the expression recognition model, the output expression type of the expression recognition model is a positive expression type, a neutral expression type or a negative expression type, a processing unit is associated to a corresponding modification data set according to the output type result of the expression recognition model, a background image is called in the corresponding modification data set to serve as the background of a portrait image, and the modification image is output to a user through a code scanning unit or a printing unit.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (9)
1. A facial expression acquisition retouching imaging system, comprising: the system comprises a server (100), wherein the server (100) is connected with a plurality of interaction systems (101) through a network;
each interactive system (101) comprises a portrait acquisition module, an expression module, a decoration imaging module, a network module and a processing module;
the portrait acquisition module comprises a camera and is used for shooting a portrait to obtain a portrait image;
the expression module comprises an expression recognition model and is used for inputting the portrait image shot by the portrait acquisition module into the expression recognition model and outputting the portrait image in a plurality of expression categories;
the decoration imaging module comprises a data set unit and a display unit;
the data set unit comprises a plurality of decoration data sets, background images are stored in the decoration data sets, and each decoration data set corresponds to the expression category output by the expression module; the processing module is used for calling a background image in the corresponding decoration data set as the background of the portrait image according to the expression type output of the expression module to obtain a decoration image and outputting the decoration image on the display unit;
the processing module comprises a processing unit and a storage unit, and the storage unit is used for storing the decoration image; the processing unit is used for uploading the decoration image to the server (100) through a network module;
the network module is used for data intercommunication between the server (100) and the interaction systems (101).
2. The system of claim 1, wherein the facial expression acquisition modification imaging system comprises: the expression category output includes a positive expression, a neutral expression, or a negative expression.
3. The system of claim 2, wherein the facial expression capturing and modifying imaging system comprises: the modifier data set includes a positive expression data set, a neutral expression data set, and a negative expression data set, corresponding to the positive, neutral, or negative expressions, respectively.
4. The system of claim 1, wherein the facial expression acquisition modification imaging system comprises: the interactive system (101) further comprises an output module, wherein the output module comprises a printing unit and a code scanning unit;
the printing unit is controlled by the processing module and is used for printing the decoration image;
the code scanning unit is used for generating a two-dimensional code, and the decoration image is recorded in the two-dimensional code.
5. The system of claim 1, wherein the facial expression acquisition modification imaging system comprises: the expression module also comprises a known expression set unit and a training unit;
the known expression set unit is used for storing known expression images; the training unit is used for training by using the known expression image as a sample to obtain the expression recognition model.
6. The system of claim 1, wherein the facial expression acquisition modification imaging system comprises: the interactive system (101) further comprises a comment entering module, wherein the comment entering module is used for entering comments of the user on the scenic spots and displaying the comments on the scenic spots in a rolling manner on the display unit in one-to-one correspondence with the decoration images of the current user.
7. A method of facial expression capture retouching imaging as claimed in any one of claims 1 to 6, wherein:
the method comprises the following steps:
shooting a user through a camera, and removing a background according to a portrait outline in a portrait image to obtain a portrait image;
inputting the portrait image into an expression recognition model, and outputting a positive expression category, a negative expression category or a neutral expression category;
and the processing module selects a decoration data set corresponding to the output expression category according to the expression category output result of the expression recognition model, calls a background image in the corresponding decoration data set as the background of the portrait image to obtain a decoration image and outputs the decoration image on the display unit.
8. The facial expression acquisition modification imaging method of claim 7, wherein: after outputting the decoration image on the display unit, the method further comprises the following steps:
the processing module controls the printing unit to print the decoration image, or controls the code scanning unit to generate a two-dimensional code recorded with the decoration image for a user to scan and download the code.
9. The facial expression acquisition modification imaging method of claim 8, wherein:
after outputting the decoration image on the display unit, the method further comprises the following steps:
the processing module stores the decoration image to the local and uploads the decoration image to the server (100), and the server (100) stores the decoration image to the cloud;
when a portrait is again taken in the same or a different interactive system (101): and performing similarity calculation according to the currently acquired portrait image and the decorated images stored in the cloud, calling the decorated image with the highest similarity, and outputting the decorated image on the display unit.
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