CN108446025B - Shooting control method and related product - Google Patents
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- CN108446025B CN108446025B CN201810238822.1A CN201810238822A CN108446025B CN 108446025 B CN108446025 B CN 108446025B CN 201810238822 A CN201810238822 A CN 201810238822A CN 108446025 B CN108446025 B CN 108446025B
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- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
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Abstract
The embodiment of the application discloses a shooting control method and a related product, which are applied to electronic equipment, wherein the electronic equipment comprises a brain wave sensor and a camera, and the method comprises the following steps: acquiring a first brain wave signal of a target user through the brain wave sensor; determining a target distance between the target user and the electronic equipment according to the first brain wave signal; and determining target shooting parameters according to the target distance, and controlling the camera to shoot according to the target shooting parameters to obtain a target image. By the adoption of the method and the device, shooting parameters can be dynamically adjusted, and the intelligence and the shooting effect of the electronic equipment are improved.
Description
Technical Field
The application relates to the technical field of electronic equipment, and mainly relates to a shooting control method and a related product.
Background
With the widespread use of electronic devices (such as mobile phones, tablet computers, etc.), the electronic devices have more and more applications and more powerful functions, and the electronic devices are developed towards diversification and personalization, and become indispensable electronic products in the life of users. Currently, a user may take a picture through a camera of an electronic device and process the picture through a shooting application or an image editing application.
Disclosure of Invention
The embodiment of the application provides a shooting control method and a related product, which can improve the intelligence and the shooting effect of electronic equipment.
In a first aspect, an embodiment of the present application provides a shooting control method, which is applied to an electronic device including a brain wave sensor and a camera, and includes:
acquiring a first brain wave signal of a target user through the brain wave sensor;
determining a target distance between the target user and the electronic equipment according to the first brain wave signal;
and determining target shooting parameters according to the target distance, and controlling the camera to shoot according to the target shooting parameters to obtain a target image.
In a second aspect, an embodiment of the present application provides an electronic device, including a processor, a brain wave sensor connected to the processor, and a camera, wherein:
the brain wave sensor is used for acquiring a first brain wave signal of a target user;
the processor is used for determining a target distance between the target user and the electronic equipment according to the first brain wave signal; determining target shooting parameters according to the target distance;
and the camera is used for shooting according to the target shooting parameters to obtain a target image.
In a third aspect, an embodiment of the present application provides a shooting control apparatus applied to an electronic device including a brain wave sensor and a camera, the apparatus including:
the acquisition unit is used for acquiring a first brain wave signal of a target user through the brain wave sensor;
a determination unit configured to determine a target distance between the target user and the electronic device from the first brain wave signal; determining target shooting parameters according to the target distance;
and the processing unit is used for controlling the camera to shoot according to the target shooting parameters to obtain a target image.
In a fourth aspect, embodiments of the present application provide another electronic device, including a processor, a memory, a brain wave sensor, a camera, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for some or all of the steps as described in the first aspect.
In a fifth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, where the computer program makes a computer perform part or all of the steps as described in the first aspect of the present application.
In a sixth aspect, embodiments of the present application provide a computer program product, where the computer program product comprises a non-transitory computer-readable storage medium storing a computer program, the computer program being operable to cause a computer to perform some or all of the steps as described in the first aspect of embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has the following beneficial effects:
after the shooting control method and the related products are adopted, the first brain wave signal of the target user is acquired through the brain wave sensor of the electronic equipment, the target distance between the target user and the electronic equipment is determined according to the first brain wave signal, the target shooting parameter is determined according to the target distance, the camera is controlled to shoot according to the target shooting parameter to obtain the target image, so that the shooting parameter of the camera is dynamically adjusted according to the target distance between the target user and the electronic equipment, and the intelligence and the shooting effect of the electronic equipment are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application 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 application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 1B is a schematic view of a wearable device acquiring brain wave signals according to an embodiment of the present disclosure;
fig. 1C is a schematic view of a scene in which an electrode array collects brain wave signals according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a shooting control method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a photographing control apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The electronic device according to the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, which have wireless communication functions, and may also include various forms of User Equipment (UE), Mobile Station (MS), terminal equipment (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices. The following describes embodiments of the present application in detail.
The embodiment of the application provides a shooting control method and a related product, which can improve the intelligence and the shooting effect of electronic equipment. Embodiments of the present application will be described below with reference to the accompanying drawings.
Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device provided in the present application. As shown in fig. 1A, the electronic device 100 includes: the brain wave. Wherein the radio frequency circuit 120, the memory 150, the brain wave sensor 160, the camera 170 and the display 130 are connected to the processor 140.
The brain wave sensor 160 is configured to collect brain wave signals, and brain waves (EEG) are physiological index records formed by summing postsynaptic potentials generated by a plurality of neurons in synchronization when the brain is moving, record electrical wave changes during brain activities, and are a general reflection of electrophysiological activities of brain neurons on the surface of the cerebral cortex or scalp.
The human brain can generate own brain waves when in rest, work or entertainment, the frequency variation range of the brain waves is usually between 0.1Hz and 30Hz, and the brain waves can be divided into four wave bands, namely delta waves (1 to 4Hz), theta waves (4 to 8Hz), alpha waves (8 to 13Hz) and beta waves (13 to 30 Hz). The 4 waves can be further divided, for example: beta waves include low-beta waves (13-15 Hz), midrange waves (15-20 Hz) and high-beta waves (20-30 Hz). The 4 waves have close relationship with various physiological and psychological activities of human, such as: delta waves are a depth-wise, stress-free, subconscious state; theta wave is a mental state of deep sleep, non-rapid eye movement sleep and unconsciousness; beta wave is mental state of tension, pressure and brain fatigue; alpha wave is a relaxed but not listened, quiet, conscious mental state, and is the best state for learning and thinking. In addition, when the user is awake and focuses on a certain fact, a gamma wave with a frequency higher than that of a beta wave is often seen, the frequency is 30-80 Hz, and the amplitude range is indefinite; while other normal brain waves with special waveforms, such as camel peak waves, sigma waves, lambda waves, kappa-complex waves, mu waves, etc., can also appear during sleep.
The processor 140 is a control center of the electronic device, connects various parts of the whole electronic device by using various interfaces and lines, and performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 150 and calling data stored in the memory 150, thereby integrally monitoring the electronic device.
The camera 170 is used for collecting images, and the present application may further include a rear camera, a rotatable camera, and the like, as an example of the front camera.
The memory 150 may be used to store software programs and functional modules, and the processor 140 executes various functional applications and data processing of the electronic device by operating the software programs and functional modules stored in the memory 150.
The radio frequency circuit 120 comprises a receiver 122, a signal processing module 123 connected to the receiver 122, and a transmitter 121 connected to the signal processing module 123, wherein: the receiver 122 is used for receiving information sent by the external or processor 140, the signal processing module 123 is used for processing information received by the transmitter, and the transmitter 121 is used for sending information acquired by the signal processing module 123. In addition, the radio frequency circuit 120 may also communicate with networks and other devices via wireless communication. The present application is not limited to wireless communication, and may include global system for mobile communications (GSM), General Packet Radio Service (GPRS), email, Short Messaging Service (SMS), and the like.
In the present application, the brain wave sensor 160 is configured to collect a first brain wave signal of a target user; the processor 140 is configured to determine a target distance between the target user and the electronic device according to the first brain wave signal; determining target shooting parameters according to the target distance; the camera 170 is configured to perform shooting according to the target shooting parameters to obtain a target image.
It can be understood that the first brain wave signal of the target user is acquired by the brain wave sensor 160 of the electronic device 100, the target distance between the target user and the electronic device 100 is determined according to the first brain wave signal, the target shooting parameter is determined according to the target distance, and the camera 170 shoots according to the target shooting parameter to obtain the target image, so that the shooting parameter of the camera 170 is dynamically adjusted according to the target distance between the target user and the electronic device 100, and the intelligence and the shooting effect of the electronic device 100 are improved.
In one possible example, the memory 150 is used for storing a mapping relationship between the distance and the shooting parameter; in the aspect that the processor 140 determines the target shooting parameter according to the target distance, the processor 140 is specifically configured to determine a reference shooting parameter corresponding to the target distance according to the mapping relationship; acquiring shooting requirement parameters corresponding to the first brain wave signals; and determining the target shooting parameters according to the reference shooting parameters and the shooting demand parameters.
In one possible example, in terms of acquiring the shooting requirement parameters corresponding to the first brain wave signal by the processor 140, the camera 170 is further configured to acquire a reference image; the processor 140 is specifically configured to obtain evaluation information of the target user on the reference image according to the first brain wave signal; and determining the shooting demand parameters according to the evaluation information.
In one possible example, the memory 150 is further configured to store a mapping relationship set, where the mapping relationship set includes a plurality of sets of mapping relationships, each set of mapping relationships corresponds to an emotion, and each set of mapping relationships is a mapping relationship between signal strength and distance; in terms of the processor 140 determining the target distance between the target user and the electronic device 100 from the first brain wave signal, the processor 140 is specifically configured to determine the target emotion of the target user from the first brain wave signal; acquiring target signal intensity corresponding to the first brain wave signal; and determining the target distance corresponding to the target signal strength according to the target mapping relation.
In one possible example, after the camera 170 photographs a target image according to the target photographing parameters, the brain wave sensor 160 is further configured to acquire a second brain wave signal of the target user; the processor 140 is further configured to determine a beauty parameter according to the second brain wave signal; and performing beauty treatment on the target image based on the beauty parameters to obtain the target image after the beauty treatment.
The above electronic devices are only examples, and the present application is not limited thereto, and the display screen may include a full-screen, a double-sided screen, or a foldable flexible display screen, a virtual display screen, etc.; the memory can also comprise a high-speed random access memory and a nonvolatile memory, such as at least one magnetic disk storage device, a flash memory device or other volatile solid-state storage devices; the processor can be further refined into special purpose processors, such as: an Artificial Intelligence (AI) processor, an Application Processor (AP), a baseband processor, a brain wave processor, and the like; the radio frequency circuit includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like.
In addition, the electronic apparatus 100 includes sensors such as a light sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, input/output interfaces such as an audio input interface, a serial port, a keyboard, a speaker, and a charging interface, and a camera, a bluetooth module, and the like, which are not shown.
The specific form of the brain wave sensor 160 is not limited in the present application, and in addition to the brain wave sensor being integrated into the housing 110 of the electronic device 100 as shown in fig. 1A, as shown in fig. 1B, the brain wave sensor may be disposed in a wearable electronic device, and the wearable electronic device collects brain wave signals and establishes a connection with the electronic device 100 in a wired manner, so that the electronic device obtains the brain wave signals; the brain wave sensor shown in fig. 1C may be an electronic array that can be implanted or attached to the scalp of the target subject, and the electronic device acquires the brain wave signals by collecting the brain wave signals through the electronic array and establishing a connection with the electronic device 100 in a wireless manner. The wearable electronic device can also be connected to the electronic device 100 in a wireless manner, and the electronic array can also be connected to the electronic device 100 in a wired manner.
Specifically, referring to fig. 2, fig. 2 is a flowchart illustrating a shooting control method according to an embodiment of the present disclosure, which can be applied to the electronic device described in fig. 1A. As shown in fig. 2, the photographing control method includes:
201: a first brain wave signal of a target user is acquired through a brain wave sensor.
In the embodiment of the present application, the target user may be a user of the electronic device, and since the brain wave sensor may collect brain wave signals of a plurality of users, the first brain wave signal needs to be extracted according to feature information of the brain wave signals of the target user; the target user can also be a user of an image acquired by the camera, when the image acquired by the camera comprises a plurality of users, the user closest to the electronic equipment can be selected as the target user, the user with the strongest brain wave signal can be selected as the target user, and the user with preset stored electroencephalograms or brain wave characteristic parameters can be selected as the target user.
Optionally, when the photographing application is running, the acquiring of the first brain wave signal of the target user by the brain wave sensor is performed. That is, when the electronic device takes a picture, the brain wave signal is collected, so that the power consumption of the electronic device is avoided being wasted.
It should be noted that, because the brain wave signals are weak and may contain some noise, a preprocessing operation may be performed before the brain wave signals are signal-processed, for example, the brain wave signals are weak, and the brain wave signals with a larger amplitude may be obtained by amplifying the brain wave signals, which facilitates data processing; the frequency of useful information in the brain wave signals is usually (0.5-100 Hz), other frequency components are introduced by noise to a great extent, and the filtering (or denoising) can reduce the useless information in the brain wave signals and improve the effectiveness of the brain wave signals; converting the collected brain wave signals into digital signals through analog-to-digital conversion; the brain wave signals of the target user can be obtained through signal separation, and because the brain wave signals of different people have larger specific difference in amplitude, the brain wave signals can be uniformly planned to the same scale through normalization processing.
202: and determining a target distance between the target user and the electronic equipment according to the first brain wave signal.
Optionally, the determining the target distance between the target user and the electronic device according to the first brain wave signal includes the following steps a1-a 4:
a1: and determining the target emotion of the target user according to the first brain wave signal.
A2: and acquiring the target signal intensity corresponding to the first brain wave signal.
A3: and selecting a target mapping relation corresponding to the target emotion from a preset mapping relation set.
A4: and determining the target distance corresponding to the target signal strength according to the target mapping relation.
The method for analyzing the brain wave signal is not limited in the embodiment of the present application, and may be a frequency domain analysis method, or a classical time-frequency domain combined analysis method, such as space-time pattern analysis, statistical analysis, spatial filtering, fast fourier transform, auto-regression model coefficients, coefficient mean and variance of wavelets and wavelet packets, bilingual estimation, hilbert yellow transform, and the like.
In the embodiment of the present application, the first brain wave signal may be analyzed by the analysis method described above, and the target emotion of the target user is determined according to the feature parameters obtained after the first brain wave signal is analyzed.
Optionally, generating an electroencephalogram from the first brain wave signal; and acquiring a target template electroencephalogram matched with the electroencephalogram in the template electroencephalogram set, and determining the emotion corresponding to the target template electroencephalogram as the target emotion.
The electroencephalogram template set comprises a plurality of reference electroencephalograms, wherein each reference electroencephalogram corresponds to one emotion. It is understood that an electroencephalogram is drawn according to at least one characteristic parameter of a frequency, an amplitude, a waveform, etc. corresponding to the first electroencephalogram signal or a characteristic value extracted from the above parameters, and then a degree of matching between the electroencephalogram and the set of template electroencephalograms is determined, so that a mood corresponding to a reference electroencephalogram having the highest degree of matching and/or higher than a preset threshold value is taken as a target mood. That is, the electronic device can quickly recognize the reference electroencephalogram matching the first electroencephalogram signal based on the waveform comparison, thereby determining the target emotion corresponding to the first electroencephalogram signal.
Optionally, obtaining a feature value corresponding to the first brain wave signal; and determining the target emotion according to the characteristic value. That is, a feature value is extracted from at least one of the frequency, amplitude, waveform, and the like corresponding to the first brain wave signal, and thus the target emotion is determined from the feature value thereof.
In this embodiment of the application, the method for acquiring the target signal strength is not limited, and optionally, the first brain wave signal is subjected to frequency domain analysis to obtain feature data corresponding to each frequency band in a plurality of frequency bands; acquiring an energy spectrum of a corresponding frequency band according to the characteristic data corresponding to each frequency band in the plurality of frequency bands to obtain a plurality of energy spectrums; acquiring frequency bands with minimum frequency greater than a preset frequency threshold value to obtain a plurality of target frequency bands; obtaining a ratio between the energy spectrum of each target frequency band in the plurality of target frequency bands and the sum of the plurality of energy spectra to obtain a plurality of ratios; and determining the target signal strength according to the preset weight value corresponding to each target frequency band in the plurality of target frequency bands and the plurality of ratio values.
Wherein, the plurality of frequency bands can include the beta wave, gamma wave, delta wave, theta wave, alpha wave, etc; the characteristic data may be at least one of amplitude data, energy data and phase data; the preset frequency threshold is not limited in the present application, for example, if the preset frequency threshold is 13Hz, the target frequency bands are beta waves and gamma waves.
It can be understood that the target signal intensity is obtained by performing weighting operation according to the weight value preset for each target frequency band in the plurality of target frequency bands and the ratio between the energy spectrum of the target frequency band and the sum of the energy spectrums, so that the accuracy of the target signal intensity is improved.
In the embodiment of the present application, the set of mapping relationships includes a plurality of sets of mapping relationships, each set of mapping relationships corresponds to an emotion, and each set of mapping relationships is a mapping relationship between signal strength and distance.
In the embodiment shown in step a1-a4, the target emotion of the target user is obtained according to the brain wave signal, the target signal strength corresponding to the brain wave signal is obtained, after the target emotion and the target signal strength are determined, the target mapping relationship corresponding to the target emotion can be selected according to the pre-stored mapping relationship set, the target distance is determined according to the target mapping relationship and the target signal strength, and the influence of the emotion on the brain wave signal is considered, so that the accuracy of determining the target distance is improved.
203: and determining target shooting parameters according to the target distance, and controlling a camera to shoot according to the target shooting parameters to obtain a target image.
The shooting parameters may be basic parameters of the camera, such as: focusing, fill-in light, delay, etc., may also be optimized parameters with image processing functions, such as: shooting mode, beauty area, filter mode, etc., and may also be shooting parameters of human-computer interaction, such as: and automatically identifying the face and adding a corresponding pendant, an emoticon and the like.
In the embodiment of the present application, the mapping relationship between the distance and the shooting parameters may be stored in advance, that is, after the target distance is determined, the target shooting parameters may be determined quickly through the mapping relationship.
For example, assuming that the target photographing parameter is a target focal length, the following table shows a relationship between a distance and a focal length, and as shown in the following table, when the target distance is 12 cm, the target focal length is 40 mm.
| Distance (centimeter) | Focal length (millimeter) |
| (0，5) | 30 |
| [5,15) | 40 |
| [15，30) | 50 |
| …… | …… |
Optionally, the determining the target shooting parameters according to the target distance includes the following steps B1-B3:
b1: and determining reference shooting parameters corresponding to the target distance according to a mapping relation between the preset and stored distance and the shooting parameters.
B2: and acquiring shooting requirement parameters corresponding to the first brain wave signals.
B3: and determining the target shooting parameters according to the reference shooting parameters and the shooting demand parameters.
The method for acquiring the shooting requirement parameters is not limited in the present application, and the corresponding shooting requirement parameters are acquired through feature extraction and feature matching with reference to the analysis method for the first brain wave signal, which is not described herein again.
Optionally, the acquiring of the shooting requirement parameter corresponding to the first brain wave signal includes the following steps B21-B23, where:
b21: and acquiring a reference image through the camera.
B22: and acquiring the evaluation information of the target user on the reference image according to the first brain wave signal.
B23: and determining the shooting demand parameters according to the evaluation information.
The evaluation information may determine emotion information of the target user according to the second brain wave signal, and then determine the evaluation information according to the emotion information. When the evaluation information is an evaluation value, the reference image is divided into a plurality of evaluation dimensions, for example: overall evaluation, color evaluation, emotion evaluation, focus evaluation, beauty effect evaluation and the like, wherein an evaluation value between each evaluation dimension of the evaluation dimensions and the reference image is acquired to obtain a plurality of evaluation components; determining the evaluation value from the plurality of evaluation components.
The method for determining the evaluation value is not limited in the present application, and may obtain an average value of a plurality of evaluation components, or perform weighted calculation according to the evaluation component corresponding to each evaluation dimension of the plurality of evaluation dimensions and a preset weight to obtain the evaluation value, where a calculation formula of the evaluation value EV may be as follows:
EV＝b1×ev1+b2×ev2+b3×ev3+…+bn×evn
wherein, ev1、ev2、ev3And evnEvaluation values for different evaluation dimensions, b1、b2、b3And bnAre respectively ev1、ev2、ev3And evnThe corresponding weight. Wherein, b1+b2+b3+…+bn＝1，biThe specific value of (i ═ 1,2, …, n) may be set according to the influence parameters of the evaluation values or recommended settings may be adopted.
For example, suppose b1＝0.2，b2＝0.2，b3＝0.2，b4＝0.2，b50.2, wherein b1Weight for Overall evaluation, b2Weight for color evaluation, b3Weight for emotion assessment, b4Weights for Focus evaluation and b5Weight for beauty effect evaluation, ev1＝70，ev2＝80，ev3＝60，ev4＝80，ev5When 60, the evaluation value of the reference image can be determined to be 70 by the above calculation formula.
The preset weight of each evaluation dimension is not limited, optionally, the electronic device further comprises an ambient light sensor, and the ambient light intensity is obtained through the ambient light sensor; and determining a preset weight corresponding to each evaluation dimension in the plurality of evaluation dimensions according to the ambient light intensity and the distance.
Wherein, the ambient light sensor can be located the upper right side of electronic equipment, the left side of camera for obtain ambient light intensity, the luminance that the display screen can be adjusted according to ambient light's light and shade to the treater provides the visual effect of preferred, the power saving of being convenient for, for example: in a dark environment, the screen brightness of the display screen becomes dark.
It can be understood that the intensity and the distance of the ambient light are external conditions of shooting, and an evaluation threshold corresponding to each evaluation dimension in the multiple evaluation dimensions is determined according to the current external conditions, so that the accuracy of obtaining the evaluation value is improved conveniently.
In the embodiment of steps B21-B23, the evaluation information between the target user and the reference image is acquired according to the first brain wave signal, and since the evaluation information may include evaluation components of a plurality of evaluation dimensions, a shooting component in the shooting requirement parameter may be determined according to the evaluation component of each evaluation dimension, so that the camera can shoot for each dimension, which is convenient for improving the shooting effect.
In the embodiment of steps B1-B3, the mapping relationship between the distance and the shooting parameter is stored in advance, after the target distance is determined, the shooting parameter corresponding to the target distance may be used as a reference shooting parameter according to the mapping relationship, and the reference shooting parameter and the shooting requirement parameter corresponding to the first brain wave signal are combined to obtain the target shooting parameter, that is, the reference shooting parameter corresponding to the distance between the target user and the electronic device is combined on the basis of the shooting requirement parameter, so that the accuracy of the target shooting parameter can be further improved.
In the embodiment shown in fig. 2, a first brain wave signal of a target user is acquired through a brain wave sensor of an electronic device, a target distance between the target user and the electronic device is determined according to the first brain wave signal, a target shooting parameter is determined according to the target distance, and a camera is controlled to shoot according to the target shooting parameter to obtain a target image, so that the shooting parameter of the camera is dynamically adjusted according to the target distance between the target user and the electronic device, and the intelligence and the shooting effect of the electronic device are improved.
Optionally, after the camera is controlled to capture the target image according to the target capture parameters, the following steps C1 to C3 may be included:
c1: and acquiring a second brain wave signal of the target user through the brain wave sensor.
C2: and determining a beauty parameter according to the second brain wave signal.
C3: and performing beauty treatment on the target image based on the beauty parameter to obtain the target image after the beauty treatment.
The method for acquiring the beauty parameters may refer to B22 to acquire evaluation information according to the brain wave signals, and B23 acquires the shooting requirement parameters according to the evaluation information, which is not described herein again.
In the embodiment shown in steps C1-C3, after the camera is controlled to capture the target image according to the target capture parameters, the second brain wave signal is collected by the brain wave sensor, the second brain wave signal is analyzed to determine the beauty information of the target image, and then the beauty processing is performed on the target image according to the beauty information, so as to further improve the operation convenience and the image effect of optimizing the image.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art would readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a photographing control apparatus according to an embodiment of the present disclosure, which is applicable to the electronic device described in fig. 1A. As shown in fig. 3, the photographing control apparatus 300 includes:
the acquisition unit 301 is used for acquiring a first brain wave signal of a target user through the brain wave sensor;
a determination unit 302 for determining a target distance between the target user and the electronic device from the first brain wave signal; determining target shooting parameters according to the target distance;
and the processing unit 303 is configured to control the camera to shoot according to the target shooting parameter to obtain a target image.
It can be seen that the acquisition unit 301 acquires a first brain wave signal of a target user through a brain wave sensor of an electronic device, the determination unit 302 determines a target distance between the target user and the electronic device according to the first brain wave signal, determines a target shooting parameter according to the target distance, and the processing unit 303 controls the camera to shoot according to the target shooting parameter to obtain a target image, so that the shooting parameter of the camera is dynamically adjusted according to the target distance between the target user and the electronic device, and the intelligence and the shooting effect of the electronic device are improved.
In a possible example, the determining unit 302 is further configured to determine a reference shooting parameter corresponding to the target distance according to a mapping relationship between preset and stored distances and shooting parameters; acquiring shooting requirement parameters corresponding to the first brain wave signals; and determining the target shooting parameters according to the reference shooting parameters and the shooting demand parameters.
In one possible example, the acquisition unit 301 is further configured to acquire a reference image; the determining unit 302 is specifically configured to acquire evaluation information of the target user on the reference image according to the first brain wave signal; and determining the shooting demand parameters according to the evaluation information.
In one possible example, the determining unit 302 is specifically configured to determine a target emotion of the target user from the first brain wave signal; acquiring target signal intensity corresponding to the first brain wave signal; selecting a target mapping relation corresponding to the target emotion from a preset mapping relation set, wherein the mapping relation set comprises a plurality of groups of mapping relations, each group of mapping relations corresponds to one emotion, and each group of mapping relations is a mapping relation between signal intensity and distance; and determining the target distance corresponding to the target signal strength according to the target mapping relation.
In one possible example, the acquiring unit 301 is further configured to acquire a second brain wave signal of the target user through the brain wave sensor; the determining unit 302 is further configured to determine a beauty parameter according to the second brain wave signal; and performing beauty treatment on the target image based on the beauty parameters to obtain the target image after the beauty treatment.
Referring to fig. 4, fig. 4 is a schematic structural diagram of another electronic device according to an embodiment of the present disclosure, which is consistent with the embodiment shown in fig. 2. The electronic device 400 shown in fig. 4 includes: a processor 410, a memory 420, a brain wave sensor 430, a camera 450, and one or more programs 440, the one or more programs 440 stored in the memory 420 and configured to be executed by the processor 410, the programs 440 including instructions for performing the steps of:
collecting a first brain wave signal of a target user through the brain wave sensor 430;
determining a target distance between the target user and the electronic device 400 according to the first brain wave signal;
and determining target shooting parameters according to the target distance, and controlling the camera 450 to shoot according to the target shooting parameters to obtain a target image.
It can be seen that the first brain wave signal of the target user is acquired by the brain wave sensor 430 of the electronic device 400, the target distance between the target user and the electronic device 400 is determined according to the first brain wave signal, the target shooting parameter is determined according to the target distance, and the camera 450 is controlled to shoot according to the target shooting parameter to obtain the target image, so that the shooting parameter of the camera is dynamically adjusted according to the target distance between the target user and the electronic device 400, and the intelligence and the shooting effect of the electronic device 400 are improved.
In one possible example, in the aspect of determining the target shooting parameter according to the target distance, the instructions in the program 440 are specifically configured to perform the following operations:
determining reference shooting parameters corresponding to the target distance according to a mapping relation between a preset and stored distance and the shooting parameters;
acquiring evaluation information of the target user on the reference image according to the first brain wave signal;
and determining the target shooting parameters according to the reference shooting parameters and the shooting demand parameters.
In one possible example, in terms of the acquiring the shooting requirement parameters corresponding to the first brain wave signals, the instructions in the program 440 are specifically configured to perform the following operations:
acquiring a reference image through the camera;
acquiring evaluation information between the first brain wave signal and the reference image;
and determining the shooting demand parameters according to the evaluation information.
In one possible example, in the aspect of determining the target distance between the target user and the electronic device 400 according to the first brain wave signal, the instructions in the program 440 are specifically configured to:
determining a target emotion of the target user according to the first brain wave signal;
acquiring target signal intensity corresponding to the first brain wave signal;
selecting a target mapping relation corresponding to the target emotion from a preset mapping relation set, wherein the mapping relation set comprises a plurality of groups of mapping relations, each group of mapping relations corresponds to one emotion, and each group of mapping relations is a mapping relation between signal intensity and distance;
and determining the target distance corresponding to the target signal strength according to the target mapping relation.
In a possible example, after the controlling the camera to capture the target image according to the target capture parameters, the instructions in the program 440 are further configured to:
collecting a second brain wave signal of the target user through the brain wave sensor 430;
determining beauty parameters according to the second brain wave signals;
and performing beauty treatment on the target image based on the beauty parameters to obtain the target image after the beauty treatment.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for causing a computer to execute a part or all of the steps of any one of the methods as described in the method embodiments, and the computer includes an electronic device.
Embodiments of the application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as recited in the method embodiments. The computer program product may be a software installation package and the computer comprises the electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware or a form of software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (11)
1. A photographing control method applied to an electronic apparatus including a brain wave sensor and a camera, the method comprising:
acquiring a first brain wave signal of a target user through the brain wave sensor;
determining a target distance between the target user and the electronic equipment according to the first brain wave signal;
determining target shooting parameters according to the target distance, and controlling the camera to shoot according to the target shooting parameters to obtain a target image;
wherein the determining a target distance between the target user and the electronic device from the first brain wave signal comprises:
determining a target emotion of the target user according to the first brain wave signal; acquiring target signal intensity corresponding to the first brain wave signal; selecting a target mapping relation corresponding to the target emotion from a preset mapping relation set, wherein the mapping relation set comprises a plurality of groups of mapping relations, each group of mapping relations corresponds to one emotion, and each group of mapping relations is a mapping relation between signal intensity and distance; and determining the target distance corresponding to the target signal strength according to the target mapping relation.
2. The method of claim 1, wherein determining target shooting parameters according to the target distance comprises:
determining reference shooting parameters corresponding to the target distance according to a mapping relation between a preset and stored distance and the shooting parameters;
acquiring shooting requirement parameters corresponding to the first brain wave signals;
and determining the target shooting parameters according to the reference shooting parameters and the shooting demand parameters.
3. The method according to claim 2, wherein the acquiring of the shooting requirement parameters corresponding to the first brain wave signals comprises:
acquiring a reference image through the camera;
acquiring evaluation information of the target user on the reference image according to the first brain wave signal;
and determining the shooting demand parameters according to the evaluation information.
4. The method according to any one of claims 1-3, wherein after controlling the camera to capture the target image according to the target capture parameters, the method further comprises:
collecting a second brain wave signal of the target user through the brain wave sensor,
determining beauty parameters according to the second brain wave signals;
and performing beauty treatment on the target image based on the beauty parameters to obtain the target image after the beauty treatment.
5. An electronic apparatus, comprising a processor, a brain wave sensor and a camera connected to the processor, wherein:
the brain wave sensor is used for acquiring a first brain wave signal of a target user;
the processor is used for determining a target distance between the target user and the electronic equipment according to the first brain wave signal; determining target shooting parameters according to the target distance;
the camera is used for shooting according to the target shooting parameters to obtain a target image;
the electronic device further comprises a memory connected with the processor, wherein the memory is used for storing a mapping relation set, the mapping relation set comprises a plurality of groups of mapping relations, each group of mapping relations corresponds to one emotion, and each group of mapping relations is a mapping relation between signal intensity and distance;
in terms of the processor determining a target distance between the target user and the electronic device from the first brain wave signals, the processor is specifically configured to determine a target emotion of the target user from the first brain wave signals; acquiring target signal intensity corresponding to the first brain wave signal; and determining the target distance corresponding to the target signal strength according to a target mapping relation, wherein the target mapping relation is a mapping relation corresponding to the target emotion and selected from a preset mapping relation set.
6. The electronic device of claim 5, wherein the memory is further configured to store a mapping relationship between distance and shooting parameters;
in the aspect that the processor determines target shooting parameters according to the target distance, the processor is specifically configured to determine reference shooting parameters corresponding to the target distance according to the mapping relationship; acquiring shooting requirement parameters corresponding to the first brain wave signals; and determining the target shooting parameters according to the reference shooting parameters and the shooting demand parameters.
7. The electronic device according to claim 6, wherein in terms of the processor acquiring the shooting requirement parameters corresponding to the first brain wave signals, the camera is further configured to acquire a reference image;
the processor is specifically configured to acquire evaluation information of the target user on the reference image according to the first brain wave signal; and determining the shooting demand parameters according to the evaluation information.
8. The electronic equipment according to any one of claims 5-7, wherein the brain wave sensor is further configured to acquire a second brain wave signal of the target user after the camera takes a target image according to the target shooting parameters;
the processor is further used for determining a beauty parameter according to the second brain wave signal; and performing beauty treatment on the target image based on the beauty parameters to obtain the target image after the beauty treatment.
9. A photographing control apparatus applied to an electronic device including a brain wave sensor and a camera, the apparatus comprising:
the acquisition unit is used for acquiring a first brain wave signal of a target user through the brain wave sensor;
a determination unit configured to determine a target distance between the target user and the electronic device from the first brain wave signal; determining target shooting parameters according to the target distance;
the processing unit is used for controlling the camera to shoot according to the target shooting parameters to obtain a target image;
wherein the determining a target distance between the target user and the electronic device from the first brain wave signal comprises:
determining a target emotion of the target user according to the first brain wave signal; acquiring target signal intensity corresponding to the first brain wave signal; selecting a target mapping relation corresponding to the target emotion from a preset mapping relation set, wherein the mapping relation set comprises a plurality of groups of mapping relations, each group of mapping relations corresponds to one emotion, and each group of mapping relations is a mapping relation between signal intensity and distance; and determining the target distance corresponding to the target signal strength according to the target mapping relation.
10. An electronic device comprising a processor, a memory, a brain wave sensor, a camera, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-4.
11. A computer-readable storage medium, characterized in that,
for storing a computer program, wherein the computer program is adapted to cause a computer to perform the method according to any of claims 1-4.
Priority Applications (2)
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| CN201810238822.1A CN108446025B (en) | 2018-03-21 | 2018-03-21 | Shooting control method and related product |
| CN202110364879.8A CN113093908B (en) | 2018-03-21 | 2018-03-21 | Shooting control method and related product |
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| CN111741436B (en) * | 2020-05-09 | 2022-12-20 | 宇龙计算机通信科技(深圳)有限公司 | Information acquisition method and device of locator, storage medium and locator |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103137157A (en) * | 2013-01-24 | 2013-06-05 | 中国联合网络通信集团有限公司 | Terminal media play control method, terminal media play control device and terminal |
| CN105704380A (en) * | 2016-03-03 | 2016-06-22 | 上海与德通讯技术有限公司 | Camera focusing method and electric device |
| CN106488024A (en) * | 2016-10-18 | 2017-03-08 | 珠海格力电器股份有限公司 | A kind of mobile terminal, mobile terminal Intelligent photographing method and system |
| CN106815803A (en) * | 2016-12-30 | 2017-06-09 | 广东欧珀移动通信有限公司 | The processing method and processing device of picture |
| CN106851104A (en) * | 2017-02-28 | 2017-06-13 | 努比亚技术有限公司 | A kind of method and device shot according to user perspective |
| CN107590445A (en) * | 2017-08-25 | 2018-01-16 | 西安电子科技大学 | Aesthetic images quality evaluating method based on EEG signals |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015102650A (en) * | 2013-11-25 | 2015-06-04 | 株式会社ニコン | Imaging control device and imaging device |
| KR102222073B1 (en) * | 2014-08-29 | 2021-03-04 | 삼성전자주식회사 | Method and electronic device for taking a photograph |
| US9712736B2 (en) * | 2015-12-15 | 2017-07-18 | Intel Coprporation | Electroencephalography (EEG) camera control |
-
2018
- 2018-03-21 CN CN202110364879.8A patent/CN113093908B/en active Active
- 2018-03-21 CN CN201810238822.1A patent/CN108446025B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103137157A (en) * | 2013-01-24 | 2013-06-05 | 中国联合网络通信集团有限公司 | Terminal media play control method, terminal media play control device and terminal |
| CN105704380A (en) * | 2016-03-03 | 2016-06-22 | 上海与德通讯技术有限公司 | Camera focusing method and electric device |
| CN106488024A (en) * | 2016-10-18 | 2017-03-08 | 珠海格力电器股份有限公司 | A kind of mobile terminal, mobile terminal Intelligent photographing method and system |
| CN106815803A (en) * | 2016-12-30 | 2017-06-09 | 广东欧珀移动通信有限公司 | The processing method and processing device of picture |
| CN106851104A (en) * | 2017-02-28 | 2017-06-13 | 努比亚技术有限公司 | A kind of method and device shot according to user perspective |
| CN107590445A (en) * | 2017-08-25 | 2018-01-16 | 西安电子科技大学 | Aesthetic images quality evaluating method based on EEG signals |
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| CN113093908B (en) | 2022-10-18 |
| CN113093908A (en) | 2021-07-09 |
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