CN111797775A - Recommendation method and device for image design and intelligent mirror - Google Patents
Recommendation method and device for image design and intelligent mirror Download PDFInfo
- Publication number
- CN111797775A CN111797775A CN202010648078.XA CN202010648078A CN111797775A CN 111797775 A CN111797775 A CN 111797775A CN 202010648078 A CN202010648078 A CN 202010648078A CN 111797775 A CN111797775 A CN 111797775A
- Authority
- CN
- China
- Prior art keywords
- image
- design
- target object
- target
- image design
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013461 design Methods 0.000 title claims abstract description 138
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000005286 illumination Methods 0.000 claims abstract description 56
- 239000003086 colorant Substances 0.000 claims description 21
- 238000011156 evaluation Methods 0.000 claims description 10
- 238000012423 maintenance Methods 0.000 claims description 9
- 210000004709 eyebrow Anatomy 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 5
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 2
- 230000003631 expected effect Effects 0.000 abstract description 3
- 238000004891 communication Methods 0.000 description 10
- 230000001815 facial effect Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 210000004209 hair Anatomy 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000003796 beauty Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 210000000697 sensory organ Anatomy 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 208000001840 Dandruff Diseases 0.000 description 1
- 238000003915 air pollution Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000009191 jumping Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- 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
- G06V40/168—Feature extraction; Face representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/04—Context-preserving transformations, e.g. by using an importance map
-
- G—PHYSICS
- 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
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Processing (AREA)
Abstract
The invention provides a recommendation method, equipment and an intelligent mirror for image design, wherein the method comprises the steps of obtaining an image of a target object and the illumination intensity of a target scene; extracting face feature data of the target object from the image of the target object; inputting the face feature data and the illumination intensity into a pre-constructed face-to-face recommendation model for image design matching, and outputting at least one image design scheme matched with the face feature data under the illumination intensity. The image design scheme matched with the human face feature data of the target object is obtained according to the illumination intensity of the scene corresponding to the destination to be reached by the target object, and the target object can be guaranteed to achieve the expected effect when being designed according to the generated auxiliary image design scheme. By adopting the technical scheme of the invention, the reliability of the generated auxiliary image design scheme can be improved.
Description
Technical Field
The invention relates to the technical field of intelligent equipment, in particular to an image design recommendation method and equipment and an intelligent mirror.
Background
Along with the continuous improvement of living standard of people, the attention degree of people to own image is gradually increased, good image can be given to people to leave a good and profound impression, and meanwhile, the image design is more relaxed and self-propelled in the life of people, and the image design gradually becomes an indispensable part in the life aesthetic sense of people.
In the prior art, products such as an intelligent mirror can be used for carrying out auxiliary design on the image of a user, under the normal condition, the facial skin smoothness and facial features of the structure of five sense organs can be extracted, and the current face of the user is matched through a preset algorithm to generate an auxiliary image design scheme.
However, the results of the same facial features presented in different environments may be different, so that the user may not achieve the user's intended effect when designing according to the generated auxiliary avatar design scheme, and thus, the reliability of the auxiliary avatar design scheme generated in the prior art is poor.
Disclosure of Invention
In view of the above, the present invention provides an image design recommendation method, an apparatus and an intelligent mirror, so as to solve the problem of poor reliability of an auxiliary image design scheme generated in the prior art.
Based on the above purpose, the present invention provides an image design recommendation method, which comprises:
acquiring an image of a target object and the illumination intensity of a target scene; the target scene is a scene corresponding to a destination to which the target object is to reach;
extracting face feature data of the target object from the image of the target object;
inputting the face feature data and the illumination intensity into a pre-constructed face-to-face recommendation model for image design matching, and outputting at least one image design scheme matched with the face feature data under the illumination intensity.
Further, in the above recommendation method for image design, the illumination intensity of the target scene is collected by using a light sensor, and/or is determined according to a preset incidence relation between the scene and the illumination intensity.
Further, in the above recommendation method for avatar design, the outputting at least one avatar design scheme matching with the face feature data under the illumination intensity includes:
if the number of the image design schemes is multiple, calculating the score value of each image design scheme according to the weight of each image design scheme;
and sequencing each image design scheme according to the sequence of the score values from high to low to obtain and output the sequenced image design schemes.
Further, the recommendation method for image design further includes:
adjusting a weight value of the selected target avatar design of the target object.
Further, the recommendation method for image design further includes:
receiving evaluation information of the target image design scheme;
and adjusting the weight value of the design scheme of the object shape according to the evaluation information.
Further, in the above recommendation method for avatar design, the avatar design solution includes: a face-care modeling design scheme and/or a dressing matching design scheme;
wherein, the dress collocation design scheme is designed according to the main and auxiliary collocation principles of contrast colors and adjacent colors.
Further, the recommendation method for image design further includes:
acquiring meteorological data of a target area; the target area is the area where the target object is located and/or the area where the target reaches;
generating maintenance suggestion information according to the meteorological data;
and outputting the maintenance suggestion information.
Further, in the above recommendation method for image design, the face feature data includes at least one of skin color, face shape, eye distance, nose bridge ratio, eyebrow thickness, lip thickness, distribution of scurf, and hair style.
The invention also provides image design recommendation equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the image design recommendation method.
The invention also provides an intelligent mirror which is provided with the recommendation equipment with the image design.
From the above, the image design recommendation method, the image design recommendation device and the intelligent mirror provided by the invention have the advantages that the human face feature data of the target object and the illumination intensity of the target scene are obtained, the human face feature data of the target object and the illumination intensity of the target scene are input into the pre-constructed physical recommendation model for image design matching, and at least one image design scheme matched with the human face feature data under the illumination intensity is output, so that the image design scheme matched with the human face feature data of the target object is obtained according to the illumination intensity of the scene corresponding to the destination to be reached by the target object, and the target object can be ensured to achieve the expected effect when being designed according to the generated auxiliary image design scheme. By adopting the technical scheme of the invention, the reliability of the generated auxiliary image design scheme can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of a recommendation method for image design according to the present invention;
FIG. 2 is a schematic diagram of an embodiment of the image-based recommendation device of the present invention;
fig. 3 is a schematic structural diagram of an embodiment of the image-designed recommendation device of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
It is to be noted that technical terms or scientific terms used in the embodiments of the present invention should have the ordinary meanings as understood by those having ordinary skill in the art to which the present disclosure belongs, unless otherwise defined. The use of "first," "second," and similar terms in this disclosure is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
Fig. 1 is a flowchart of an embodiment of the image design recommendation method of the present invention, and as shown in fig. 1, the image design recommendation method of the present embodiment may specifically include the following steps:
100. acquiring an image of a target object and the illumination intensity of a target scene;
generally, the results of the facial features of the same person presented in different environments may differ, for example, skin color may change in different illumination intensities under different illumination, and therefore, in this embodiment, an image of a target object and an illumination intensity of a target scene may be obtained, where the target scene is a destination to be reached by the target object.
Specifically, the present embodiment is mainly applied to a smart mirror, but may also be used in a smart terminal having a smart mirror function. The intelligent mirror and the intelligent terminal are at least provided with a display for displaying images and a camera for shooting images of a user. In this step, when the target object starts the smart mirror, the smart mirror will acquire an image of the target object through the camera.
The illumination intensity of the target scene is acquired by using a light sensor and/or is determined according to a preset incidence relation between the scene and the illumination intensity. Specifically, the illumination intensity of the target scene may be obtained according to a specific place of the target scene. For example, if the target scene is the office, the target object can be input into the smart mirror after the light intensity of the office is collected by the light sensor, or sent to the smart mirror through the cloud end, or stored in the cloud end, and the embodiment is not limited specifically. If the target scene is a certain scene where the target object occasionally goes, such as a certain restaurant, the target object cannot know the illumination intensity of the restaurant, and therefore, in this embodiment, the illumination intensity sampling may be performed on each scene in advance to establish the association relationship between the scene and the illumination intensity, so that after the target scene is determined as the restaurant, the illumination intensity of the restaurant may be obtained from the association relationship between the preset scene and the illumination intensity, and in addition, if the association relationship between the preset scene and the illumination intensity does not exist, the illumination intensity of the restaurant of the same type as the restaurant may be determined from the association relationship between the preset scene and the illumination intensity, or the illumination intensity of the scene where the target object is currently located may be used as the illumination intensity of the restaurant.
It should be noted that, in this embodiment, the illumination intensity of the target scene is obtained because the target object usually arrives at the destination from home when performing image management, and the target user needs to leave a good and deep impression on the destination, so the illumination intensity of the destination is important to the image of the target object, rather than the illumination intensity at home, and therefore, the illumination intensity of the destination is often used as a reference when generating the image design scheme later.
101. Extracting face feature data of a target object from an image of the target object;
the face feature data of the target object can be extracted from the image of the target object by using a preset image feature extraction method; the facial feature data of the target object can comprise at least one of skin color, face shape, eye distance, nose bridge proportion, eyebrow thickness, lip thickness, beard distribution and hairstyle.
102. Inputting the face characteristic data of the target object and the illumination intensity of the target object into a pre-constructed rational and capacitive recommendation model for image design matching, and outputting at least one image design scheme matched with the face characteristic data under the illumination intensity;
in a specific implementation process, representative upper half body characteristic images of persons at different age levels in various regions can be collected, face characteristic data of different skin color types, facial structures (face shape, eye distance, nose bridge proportion, eyebrow thickness, lip thickness and beard distribution) and the like under different illumination intensities in the portrait are automatically extracted by using a portrait model trained in a deep learning mode, and male upper half body dress data of common matching color systems and classical dress styles of men's coats are extracted.
Classical and trendy male sex, beard shape and garment color matching information are collected, and according to the contents, a face-to-face recommendation model is established: firstly, a part of the face feature data is taken through manual marking, and is matched with recommended face-beautifying modeling and dressing; then, through deep learning training, the model has higher recommendation accuracy, and simultaneously, the image data outside the label is adopted for testing and optimizing; meanwhile, the beauty recommendation model also sets some rules: for example, there are rules of adjacent colors, contrasting colors, etc. for matching colors.
In this embodiment, after obtaining the face feature data of the target object and the illumination intensity of the target scene, the face feature data of the target object and the illumination intensity of the target object may be input into a pre-constructed reason recommendation model for image design matching, and at least one image design scheme matched with the face feature data under the illumination intensity is output, so that the target object selects the target image design scheme, and manages the image of the target object according to the selected target image design scheme. Wherein, the appearance-care modeling design scheme and/or the dressing matching design scheme; wherein, the design scheme of the beauty treatment and shaping comprises shaving, combing hair and the like. The dress collocation design scheme is designed according to the principle of primary and secondary collocation of contrast colors and adjacent colors. The main and auxiliary matching rules of contrast colors and adjacent colors are adopted, and the two adjacent colors are similar to each other to form similar colors, such as orange pink, also called warm color, and blue purple, also called cold color; the two colors are opposite in the color disc to form contrast colors, such as red, green and yellow blue, and the contrast colors are suitable for use in jumping color systems or festivals. The black, white and gray are universal auxiliary colors, and the golden rule of the colors is 60: 30: 10, the main color is a proportion of 60%, the auxiliary color is a ratio of 30%, and the auxiliary color is a proportion of 10%. For example, the suit coat can be 60% for men's jacket, 30% for shirt and 10% for necktie and bow tie.
It should be noted that, in practical applications, the intelligent mirror on the market is usually designed only for the image of the female group, and the aspects of the facial smoothness, the proportion of the five sense organs, the beard and the like of the male group are different from those of the female group, so that the intelligent mirror on the market cannot reach the pain point of the male group in a targeted manner, the recommended image design scheme is often feminized, and the recommendation is difficult to be close to daily life.
The image design recommendation method of the embodiment obtains the face feature data of the target object and the illumination intensity of the target scene, inputs the face feature data of the target object and the illumination intensity of the target scene into a pre-constructed rational recommendation model for image design matching, and outputs at least one image design scheme matched with the face feature data under the illumination intensity, so that the image design scheme matched with the face feature data of the target object is obtained according to the illumination intensity of the scene corresponding to the destination to be reached by the target object, and the target object can achieve the expected effect when being designed according to the generated auxiliary image design scheme. By adopting the technical scheme of the invention, the reliability of the generated auxiliary image design scheme can be improved.
In a specific implementation process, in order to facilitate quick selection of a target object of a required target image design scheme, in this embodiment, if there are a plurality of image design schemes, a score value of each image design scheme is calculated according to the weight of each image design scheme; and sequencing each image design scheme according to the sequence of the score values from high to low to obtain and output the sequenced image design schemes. In addition, the number of outputs can be set so as to select the image design scheme of the number of outputs from high to low, for example, the number of outputs is preferably 3.
In practical application, the weight value of the selected target image design scheme of the target object can be adjusted according to the selection of the target object, so that the preference of the target object is determined, and accurate recommendation is performed. In addition, for the target object, after the target object is constructed according to the selected target image design scheme, other people may evaluate the image of the target object, for example, "the mindset is true", "the hairstyle is not appropriate to some extent", and the like, so that the target object can enter the heard evaluation so that the intelligent mirror can receive the evaluation information of the target image design scheme; and adjusting the weight value of the design scheme of the object shape according to the evaluation information. For example, the evaluation information of 'small partner reality' can increase the weight of the target image design scheme, and 'hairstyle is not appropriate' can reduce the weight of the target image design scheme, so that the image design scheme can be more accurately pushed.
In a specific implementation process, the image design recommendation method of the embodiment can also acquire meteorological data of a target area; generating maintenance suggestion information according to the meteorological data; and outputting maintenance suggestion information, so that the target object can manage by combining the maintenance suggestion information when managing the target object. The target area is the area where the target object is located and/or the area where the target reaches. Meteorological data includes temperature, ultraviolet light, air pollution, etc.
In practical applications, the image design solution obtained by the recommendation method for image design of this embodiment may only be a solution with better theoretical image, but the user may not implement the selected target image design solution due to various factors, for example, the target object lacks clothes with colors and styles corresponding to the target image design solution, so that the target object needs to be reselected or even cannot be selected, and therefore, in order to solve the above technical problems, the present invention further provides the following technical solutions.
Specifically, the target object can utilize the camera of intelligent mirror to shoot the clothes of oneself purchasing to regard the clothes of oneself as the resource input resource storehouse, like this, when generating the image design, can follow the resource storehouse and obtain, in order to avoid obtaining behind certain image design, the target object can't manage oneself according to the image design.
In practical application, if the image design scheme obtained according to the resource library of the target object does not meet the requirement of the target object, the links corresponding to other image design schemes can be generated according to resources except the resource library of the target object, so that a user can purchase the image on line after clicking the links.
It should be noted that the method of the embodiment of the present invention may be executed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In the case of such a distributed scenario, one device of the multiple devices may only perform one or more steps of the method according to the embodiment of the present invention, and the multiple devices interact with each other to complete the method.
Fig. 2 is a schematic structural diagram of an embodiment of the image design recommendation device of the present invention, and as shown in fig. 2, the image design recommendation device of the present embodiment includes an obtaining module 20, an extracting module 21, and a matching module 22.
An obtaining module 20, configured to obtain an image of a target object and an illumination intensity of a target scene; the target scene is a scene corresponding to a destination to which the target object is to reach; the illumination intensity of the target scene is acquired by using a light sensor and/or is determined according to a preset incidence relation between the scene and the illumination intensity.
An extraction module 21, configured to extract face feature data of a target object from an image of the target object; the face feature data comprises at least one of skin color, face shape, eye distance, nose bridge proportion, eyebrow thickness, lip thickness, beard distribution and hair style.
And the matching module 22 is used for inputting the face characteristic data and the illumination intensity into a pre-constructed face-to-face recommendation model for image design matching, and outputting at least one image design scheme matched with the face characteristic data under the illumination intensity. Wherein, the appearance-care modeling design scheme and/or the dressing matching design scheme;
the dress collocation design scheme is designed according to the main and auxiliary collocation principles of contrast colors and adjacent colors.
Further, in the above embodiment, the matching module 22 is specifically configured to calculate a score value of each image design scheme according to the weight of each image design scheme if there are multiple image design schemes; and sequencing each image design scheme according to the sequence of the score values from high to low to obtain and output the sequenced image design schemes.
In practical applications, the matching module 22 is further configured to adjust the weight value of the selected target image design of the target object.
Further, the matching module 22 is further configured to receive evaluation information of the target image design scheme;
and adjusting the weight value of the design scheme of the object shape according to the evaluation information.
In one specific implementation, the obtaining module 20 is further configured to obtain meteorological data of a target area; the target area is the area where the target object is located and/or the area where the target reaches;
the matching module 22 is further used for generating maintenance suggestion information according to the meteorological data; and outputting maintenance suggestion information.
The apparatus of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Fig. 3 is a schematic structural diagram of an embodiment of the recommendation device designed in the image of the present invention, and as shown in fig. 3, the traffic device of this embodiment may include: a processor 1010 and a memory 1020. As will be appreciated by those skilled in the art, the visual design recommendation device may also include an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
The invention also provides an intelligent mirror which is provided with the image design recommendation equipment of the embodiment.
The present invention also provides a storage medium characterized in that the storage medium stores computer instructions for causing the computer to execute the method of image design of the above embodiment.
Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.
In addition, well known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures for simplicity of illustration and discussion, and so as not to obscure the invention. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the invention, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the present invention is to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the invention, it should be apparent to one skilled in the art that the invention can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
The embodiments of the invention are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements and the like that may be made without departing from the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. A method for recommending a character design, comprising:
acquiring an image of a target object and the illumination intensity of a target scene; the target scene is a scene corresponding to a destination to which the target object is to reach;
extracting face feature data of the target object from the image of the target object;
inputting the face feature data and the illumination intensity into a pre-constructed face-to-face recommendation model for image design matching, and outputting at least one image design scheme matched with the face feature data under the illumination intensity.
2. The visual design recommendation method according to claim 1, wherein the illumination intensity of the target scene is collected by a light sensor and/or determined according to a preset scene-to-illumination intensity correlation.
3. The avatar design recommendation method of claim 1, wherein said outputting at least one avatar design matching said face feature data at said illumination intensity comprises:
if the number of the image design schemes is multiple, calculating the score value of each image design scheme according to the weight of each image design scheme;
and sequencing each image design scheme according to the sequence of the score values from high to low to obtain and output the sequenced image design schemes.
4. The visual design recommendation method of claim 3, further comprising:
adjusting a weight value of the selected target avatar design of the target object.
5. The visual design recommendation method of claim 4, further comprising:
receiving evaluation information of the target image design scheme;
and adjusting the weight value of the design scheme of the object shape according to the evaluation information.
6. The character design recommendation method of claim 1, wherein the character design solution comprises: a face-care modeling design scheme and/or a dressing matching design scheme;
wherein, the dress collocation design scheme is designed according to the main and auxiliary collocation principles of contrast colors and adjacent colors.
7. The visual design recommendation method of claim 1, further comprising:
acquiring meteorological data of a target area; the target area is the area where the target object is located and/or the area where the target reaches;
generating maintenance suggestion information according to the meteorological data;
and outputting the maintenance suggestion information.
8. An image design recommendation method according to any one of claims 1-7, wherein the face feature data includes at least one of skin tone, face shape, eye distance, nose bridge ratio, eyebrow thickness, lip thickness, beard distribution and hairstyle.
9. A character design recommendation apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the character design recommendation method of any one of claims 1 to 8.
10. A smart mirror, characterized in that it is provided with a recommendation device designed according to the image of claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010648078.XA CN111797775A (en) | 2020-07-07 | 2020-07-07 | Recommendation method and device for image design and intelligent mirror |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010648078.XA CN111797775A (en) | 2020-07-07 | 2020-07-07 | Recommendation method and device for image design and intelligent mirror |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111797775A true CN111797775A (en) | 2020-10-20 |
Family
ID=72810499
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010648078.XA Pending CN111797775A (en) | 2020-07-07 | 2020-07-07 | Recommendation method and device for image design and intelligent mirror |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111797775A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020067088A (en) * | 2001-02-15 | 2002-08-22 | 비쥬텍쓰리디(주) | Method and apparatus for replacing a model face of moving image |
| CN105678561A (en) * | 2016-01-29 | 2016-06-15 | 京东方科技集团股份有限公司 | Intelligent dressing table and corresponding cloud expert system |
| CN107705245A (en) * | 2017-10-13 | 2018-02-16 | 北京小米移动软件有限公司 | Image processing method and device |
| CN108256648A (en) * | 2018-04-09 | 2018-07-06 | 重庆科技学院 | A kind of image design robot |
| CN108510437A (en) * | 2018-04-04 | 2018-09-07 | 科大讯飞股份有限公司 | A kind of virtual image generation method, device, equipment and readable storage medium storing program for executing |
| CN109241436A (en) * | 2018-09-18 | 2019-01-18 | 百度在线网络技术（北京）有限公司 | Dressing mode recommended method, device, equipment and storage medium |
| WO2019021058A2 (en) * | 2017-07-25 | 2019-01-31 | Mbl Limited | Systems and methods for operations a robotic system and executing robotic interactions |
| CN110110118A (en) * | 2017-12-27 | 2019-08-09 | 广东欧珀移动通信有限公司 | Dressing recommended method, device, storage medium and mobile terminal |
-
2020
- 2020-07-07 CN CN202010648078.XA patent/CN111797775A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020067088A (en) * | 2001-02-15 | 2002-08-22 | 비쥬텍쓰리디(주) | Method and apparatus for replacing a model face of moving image |
| CN105678561A (en) * | 2016-01-29 | 2016-06-15 | 京东方科技集团股份有限公司 | Intelligent dressing table and corresponding cloud expert system |
| WO2019021058A2 (en) * | 2017-07-25 | 2019-01-31 | Mbl Limited | Systems and methods for operations a robotic system and executing robotic interactions |
| CN107705245A (en) * | 2017-10-13 | 2018-02-16 | 北京小米移动软件有限公司 | Image processing method and device |
| CN110110118A (en) * | 2017-12-27 | 2019-08-09 | 广东欧珀移动通信有限公司 | Dressing recommended method, device, storage medium and mobile terminal |
| CN108510437A (en) * | 2018-04-04 | 2018-09-07 | 科大讯飞股份有限公司 | A kind of virtual image generation method, device, equipment and readable storage medium storing program for executing |
| CN108256648A (en) * | 2018-04-09 | 2018-07-06 | 重庆科技学院 | A kind of image design robot |
| CN109241436A (en) * | 2018-09-18 | 2019-01-18 | 百度在线网络技术（北京）有限公司 | Dressing mode recommended method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10028569B2 (en) | Makeup application assistance device, makeup application assistance system, and makeup application assistance method | |
| US20220157036A1 (en) | Method for generating virtual character, electronic device, and storage medium | |
| US9681736B2 (en) | Makeup application assistance device, makeup application assistance method, and makeup application assistance program | |
| CN108197574B (en) | Character style recognition method, terminal and computer readable storage medium | |
| CN108121957B (en) | Method and device for pushing beauty material | |
| US10799010B2 (en) | Makeup application assist device and makeup application assist method | |
| CN108734557A (en) | Methods, devices and systems for generating dress ornament recommendation information | |
| US20160148532A1 (en) | Makeup application assistance device, makeup application assistance method, and makeup application assistance program | |
| CN106951448A (en) | A kind of personalization, which is worn, takes recommendation method and system | |
| CN106354768B (en) | Color-based user and commodity matching method and commodity matching recommendation method | |
| CN105808774A (en) | Information providing method and device | |
| KR20190097815A (en) | System for recommending total beauty style | |
| KR102292629B1 (en) | System and method for providing beauty contents using virtual simulation contents | |
| WO2023138345A1 (en) | Virtual image generation method and system | |
| CN108776904A (en) | A kind of methods of exhibiting and its equipment of advertisement information | |
| CN107533580A (en) | The multiple parameters for the biological information that part as live plant is shown over the display | |
| WO2018029963A1 (en) | Make-up assistance apparatus and make-up assistance method | |
| CN108475403A (en) | Analysis on Epidemic Trend device, the makeup Analysis on Epidemic Trend method of making up and Analysis on Epidemic Trend program of making up | |
| CN112819767A (en) | Image processing method, apparatus, device, storage medium, and program product | |
| US20160371569A1 (en) | Systems and methods of analyzing images | |
| KR20200025291A (en) | A shopping service procedure and shopping service system using personal community device | |
| WO2022262508A1 (en) | Augmented reality-based intelligent trying on method and system, terminal, and medium | |
| JP6740329B2 (en) | Method and system for facial feature analysis and delivery of personalized advice | |
| CN108920828B (en) | Clothing matching method and system | |
| Kim et al. | Color reproduction in virtual lip makeup using a convolutional neural network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |