JP2012028947A - Imaging apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an imaging apparatus capable of improving accuracy in face detection by improving a detection ratio in skin color detection.SOLUTION: An imaging apparatus includes: imaging parts 18, 19 for photoelectrically converting a subject image and generating an image signal of an imaged image; a skin color detection part 51 for detecting a skin color region in the imaged image, based on the image signal; a face detection part 52 for detecting the face region of a person included in the imaged image, based on the detection result of the skin color region; a display part 13 for displaying the imaged image and a face frame indicating the face region; a color tone correction part 53 for correcting the color tone of the imaged image; and a control part 39 for allowing the skin color region to be detected based on the image signal of the imaged image where the color tone is corrected under a prescribed condition.

Description

  Embodiments described herein relate generally to an imaging apparatus.

  In recent years, portable terminals equipped with a camera that electronically records a subject image using an image sensor have come to be widely used. A camera having a face detection function is also known as a camera provided in the portable terminal.

  The face detection function is a function that can detect the face of a person existing in a captured image as a face area and automatically focus the face of the person. 2. Description of the Related Art Conventionally, it is known to perform a face detection process based on a detection result by detecting a person's area from a skin color by performing a skin color detection process as a pre-process or a post-process of a face detection process. By using the skin color detection process as a pre-process or a post-process, the load of the face detection process can be reduced and speeded up.

JP 2006-227080 A JP 2009-123081 A

  The skin color detection process is a process of detecting a skin color area included in a captured image and detecting a person area. In the skin color detection, for example, the color component of the pixel of the image signal is obtained and compared with the color component of the skin color stored in advance, and if the color component matches as a result of the comparison, the skin color is detected.

  The captured image may be biased in color tone (red or blue) due to the type and number of light sources and the influence of the surroundings. For this reason, the skin color component held in advance differs from the skin color component in the actual captured image, and there is a problem that the skin color region cannot be detected from the captured image. As a result, in the face detection process using skin color detection, it is difficult to detect the face area, so that the detection accuracy of the face area is lowered and usability may be impaired.

  The present invention has been made in view of such circumstances, and an object thereof is to provide an imaging apparatus capable of improving the accuracy of face detection by improving the detection rate of skin color detection.

  According to the imaging apparatus in the embodiment, in order to solve the above-described problem, an imaging unit that photoelectrically converts a subject image to generate an image signal of the captured image, and a skin color area in the captured image based on the image signal A skin color detection unit to detect, a face detection unit to detect a face region of a person included in a captured image based on a detection result of the skin color region, and a display unit to display the captured image and a face frame indicating the face region And a color tone correction unit that corrects the color tone of the captured image, and a control unit that detects the skin color area based on an image signal of the captured image that has been corrected in color tone under a predetermined condition. It is characterized by this.

1 is an external perspective view showing a portable terminal that is an embodiment of an imaging apparatus according to the present invention. 1 is a schematic functional block diagram showing a main functional configuration of a mobile terminal that is an example of an imaging apparatus according to the present invention. The table | surface which shows an example of the numerical value corresponding to the level and level used by the emphasis process by a color correction | amendment part. The flowchart explaining the 1st face detection process performed with the portable terminal in this embodiment. The flowchart explaining the 1st face detection accuracy improvement mode performed with the portable terminal in this embodiment. The flowchart explaining the 2nd face detection process performed with the portable terminal in this embodiment. The flowchart explaining the 2nd face detection accuracy improvement mode performed with the portable terminal in this embodiment.

  An embodiment of an imaging apparatus according to the present invention will be described with reference to the accompanying drawings.

  FIG. 1 is an external perspective view showing a portable terminal 1 which is an embodiment of an imaging apparatus according to the present invention. FIG. 1A is a diagram showing the front side of the mobile terminal 1, and FIG. 1B is a diagram showing the back side of the mobile terminal 1.

  The mobile terminal 1 has a rectangular plate-shaped casing 11. The housing 11 has a touch panel 12 on most of the surface.

  The touch panel 12 has a display (display unit 13 in FIG. 2) provided with an area for displaying a display screen made up of characters, images, and the like. This display includes, for example, an LCD (Liquid Crystal Display) and an organic EL (ElectroLuminescence) display.

  The touch panel 12 includes a touch sensor (input unit 14 in FIG. 2) that detects a contact operation on the operation surface. The touch sensor has a plurality of elements for detecting a contact operation arranged on the upper surface of the display, and a transparent operation surface laminated thereon. As a method for detecting the contact operation on the touch panel 12, a pressure-sensitive method for detecting a change in pressure, an electrostatic method for detecting an electric signal due to static electricity, or the like can be applied.

  The housing 11 includes a microphone 16 and a speaker 17 at predetermined positions. The microphone 16 is disposed, for example, below the touch panel 12 and collects a user's voice and the like. The speaker 17 is arranged, for example, on the upper part of the touch panel 12 (a position facing the microphone 16 via the touch panel 12), and outputs various sounds.

  The housing 11 has an inner camera 18 on the front side. The casing 11 has an outer camera 19 on the back side. The portable terminal 1 can photograph a desired imaging target with the inner camera 18 and the outer camera 19 (hereinafter simply referred to as “cameras 18 and 19”). The cameras 18 and 19 are provided with an imaging device such as a CCD or a CMOS, and function as an imaging unit that photoelectrically converts a subject image by an imaging optical system to generate an image signal. The cameras 18 and 19 have a variable focus mechanism and have an autofocus function. This autofocus function is used, for example, to automatically focus on a location where a face area is detected.

  FIG. 2 is a schematic functional block diagram showing a main functional configuration of the mobile terminal 1 which is an example of the imaging apparatus according to the present invention.

  The mobile terminal 1 can perform voice communication and data using a predetermined wireless communication method such as the W-CDMA method, the GSM method, the cdma2000 1x RTT method, the EVDO method, and the E-UTRA method that is a wireless access of the 3.9th generation LTE system. A communication function for performing communication is provided. In addition, the antenna 31, the wireless transmission / reception unit 32, and the signal processing unit 33 correspond to a predetermined method.

  The antenna 31 receives a radio signal transmitted from a base station accommodated in a mobile communication network by using a predetermined communication processing system. The antenna 31 radiates a radio signal of a predetermined access method to the space so that wireless communication can be performed with a predetermined communication processing system.

  The radio transmission / reception unit 32 performs radio communication with a base station accommodated in the mobile communication network via the antenna 31 by a predetermined communication processing method. The radio transmission / reception unit 32 generates a radio signal having a carrier frequency instructed from the control unit 39 based on the modulation signal generated by the signal processing unit 33. The radio transmission / reception unit 32 receives a radio signal having a carrier frequency instructed from the control unit 39, mixes it with the local oscillation signal output from the frequency synthesizer, and converts the frequency into an intermediate frequency signal (down-conversion). Then, the radio transmission / reception unit 32 orthogonally demodulates the down-converted intermediate frequency signal and outputs a reception baseband signal. The reception result is output to the signal processing unit 33 and the control unit 39.

  The signal processing unit 33 is configured by a DSP (Digital Signal Processor) or the like, and performs predetermined signal processing on the received baseband signal to obtain received packet data in a predetermined transmission format. The signal processing unit 33 demodulates the audio signal included in the received packet data and decodes the demodulation result to obtain audio data and the like. The audio data obtained by the decoding process is supplied to the PCM codec 34. The PCM codec 34 performs PCM decoding on the audio data and outputs an analog audio data signal after PCM decoding to the reception amplifier 35. The analog audio signal is amplified by the reception amplifier 35 and then output from the speaker 17.

  On the other hand, the voice signal (analog audio signal) of the speaker (user) input to the microphone 16 is amplified to an appropriate level by the transmission amplifier 37 and then PCM encoded by the PCM codec 34. The audio signal after PCM encoding is input to the signal processing unit 33. The signal processing unit 33 encodes the audio signal, generates a modulation signal based on audio data and other data obtained by the encoding, and outputs the generated modulation signal to the radio transmission / reception unit 32.

  The control unit 39 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like. The CPU executes various processes in accordance with programs stored in the ROM or various application programs and control programs including the operating system (OS) loaded from the storage unit 43 to the RAM. In addition, the CPU generates various control signals and supplies them to each unit to control the mobile terminal 1 in an integrated manner. The RAM appropriately stores data necessary for the CPU to execute various processes.

  The storage unit 43 includes, for example, a flash memory element that is an electrically rewritable and erasable nonvolatile memory, an HDD (Hard Disc Drive), and the like. The storage unit 43 stores various application programs executed by the CPU of the control unit 39 and various data groups, and the control program and control data of the mobile terminal 1. In addition, the storage unit 43 appropriately stores, for example, telephone book data in which contact information is registered, data acquired by data communication, downloaded data, and the like.

  The power supply circuit 44 generates a predetermined operating power supply voltage Vcc based on the output of the battery 45 and supplies it to each circuit. The clock circuit (timer) 46 measures the current time or a certain time.

  The skin color detection unit 51 detects an area having a skin color, that is, an area where a person is located, using color components of image data (image signal) of a captured image captured by the inner camera 18 or the outer camera 19. The skin color detection unit 51 holds a numerical value of a predetermined color component indicating the skin color in advance, and detects the skin color region by comparing this numerical value with the numerical value in the image data. This skin color detection process is executed as a pre-process of the face detection process. Various known methods are applied to the skin color detection process. For example, a hue value extraction method in an HSV (Hue, Saturation and Value) display system can be used.

  The face detection unit 52 further detects a human face region (face region) from the human region based on the detection result output from the skin color detection unit 51. Various known methods are applied to the face detection unit 52 as a face detection processing method for detecting a region including a face. For example, a method of extracting the outline of the skin color area detected by the skin color detection process and detecting the face with a matching degree with a face outline template prepared in advance can be applied. Note that the information related to the face area can be composed of, for example, the coordinates of the center point of the face area and the size of the face area.

  The color tone correction unit 53 corrects the image data acquired from the cameras 18 and 19 by changing the color tone. Specifically, the color tone correction unit 53 emphasizes the R component of the image data by changing the value of the red (R) component of the image data between a plurality of levels provided in advance. The color tone correction unit 53 emphasizes the B component of the image data by adjusting the blue (B) value of the image data between a plurality of levels provided in advance.

  FIG. 3 is a table showing an example of levels used in the enhancement processing by the color tone correction unit and numerical values corresponding to the levels.

  For example, when the RGB component is represented by 8 bits (256 gradations of 0 to 255), the color tone correction unit 53 provides eight levels, and levels 31, 63, 95, 127, 159, and 191 are provided for levels 1 to 8, respectively. 223, 255 are assigned.

  As described above, the mobile terminal 1 according to the present embodiment performs skin color detection processing as preprocessing when detecting the face area of a person present in the captured image data. For this reason, the accuracy of the face detection process depends on the accuracy of the skin color detection process. Here, when the auto white balance shooting function is used when shooting with the cameras 18 and 19, when there are a plurality of light sources, the auto white balance is correctly affected by the influence of the surrounding environment such as the type of light source and the surrounding color tone. The function may not work. In this case, the captured image data may be biased to red or blue. For this reason, the skin color of the person included in the image data is not correctly recognized as the skin color in the skin color detection process, and as a result, the accuracy of the subsequent face detection process may be affected.

  On the other hand, the portable terminal 1 in the present embodiment has a face detection accuracy improvement mode so that the skin color detection process and the face detection process can be suitably performed. Hereinafter, the face detection process and the face detection accuracy improvement mode will be specifically described with reference to flowcharts.

  FIG. 4 is a flowchart for explaining the first face detection process executed by the mobile terminal 1 in the present embodiment.

  This face detection process is executed after the cameras 18 and 19 are activated based on a user operation, for example. The camera activated at this time is either the inner camera 18 or the outer camera 19. The camera can be switched between the inner camera 18 and the outer camera 19.

  In step S <b> 1, the control unit 39 acquires image data (image signal) generated by the cameras 18 and 19. Note that image data for face detection is acquired, for example, a predetermined number of times (for example, 15 to 30 times) per second. Hereinafter, image data used for the face detection process is referred to as a frame. On the touch panel 12, a captured image generated based on the acquired image data is displayed. Further, the acquired image data is output to the skin color detection unit 51.

  In step S <b> 2, the skin color detection unit 51 performs a skin color detection process to detect a skin color region in the image data. The skin color detection unit 51 outputs the detection result to the face detection unit 52. In step S <b> 3, the face detection unit 52 performs face detection processing based on the detection result output from the skin color detection unit 51, and detects a face region determined as a human face from the skin color region (person region).

  In step S <b> 4, the control unit 39 displays the face area together with the captured image displayed on the touch panel 12 based on the detection result output from the face detection unit 52. When the face area is not detected, the control unit 39 displays only the captured image on the touch panel 12. For example, the control unit 39 displays a rectangular frame having a predetermined size centered on the coordinates of the center point of the face area output from the face detection unit 52 as a face frame indicating the face area. The display form of the face frame is not limited to this. Further, the control unit 39 displays a plurality of face frames when a plurality of face regions are detected.

  In step S5, the control unit 39 determines whether or not there is an input from the user with respect to a predetermined user interface (UI). This UI is displayed on the touch panel 12, for example, and is a UI for accepting an instruction to shift to the face detection accuracy improvement mode. If the face frame displayed in the result display step S4 correctly displays the face area, the user does not need to input to this UI, but if the face area is not displayed or the person's face is correctly face area Is not displayed, the user inputs to the UI. In addition, when the portable terminal 1 has a mechanical implementation as an input key, an instruction to shift to the face detection accuracy improvement mode may be received using the input key.

  When it is determined that there is no input to the UI, the control unit 39 determines whether or not shooting by the cameras 18 and 19 has been completed by the user in step S6. When the control unit 39 determines that the cameras 18 and 19 are not terminated, the control unit 39 returns to the image data acquisition step S1 and repeats the subsequent processes. On the other hand, if the control unit 39 determines that the cameras 18 and 19 have ended, the face detection process ends.

  When the control unit 39 determines that there is an input to the UI in the input determination step S5, the control unit 39 proceeds to the first face detection accuracy improvement mode of FIG.

  FIG. 5 is a flowchart for describing the first face detection accuracy improvement mode executed by the mobile terminal 1 in the present embodiment.

  In step S <b> 11, the control unit 39 acquires image data generated by the cameras 18 and 19. In step S12, the color tone correction unit 53 performs enhancement processing on the image data. For example, the color tone correction unit 53 performs enhancement processing based on level 1 (FIG. 3) of the R component.

  In step S <b> 13, the skin color detection unit 51 performs a skin color detection process on the image data subjected to the enhancement process, and detects a skin color region in the image data. Here, when the person's skin color is corrected to a color component that can be originally recognized as the skin color by the enhancement process performed in the enhancement process step S12, the skin color detection unit 51 can appropriately detect the skin color region.

  In step S <b> 14, the face detection unit 52 performs face detection processing based on the detection result output from the skin color detection unit 51, and detects an area determined as a human face from the skin color area (person area). In step S <b> 15, the control unit 39 determines whether or not a face area has been detected by the face detection unit 52. If the control unit 39 determines that the face area is not detected, the control unit 39 changes the setting value of the enhancement processing by the color tone correction unit 53 in step S16. Specifically, the control unit 39 sets the level of the enhancement process to one level higher than the level of the color component used in the previous enhancement process. For example, when the previous emphasis process is performed based on the R component level 1, the control unit 39 sets the R component level 2. When the level of the color component used for the previous enhancement process is the maximum level (level 8), the control unit 39 changes the color component for the enhancement process (for example, changes from the R component to the B component). And set to level 1 of the color component after the change.

  Thereafter, the process returns to the image data acquisition step S11 and the subsequent processing is repeated. That is, enhancement processing step S12 is performed based on the new set value, and skin color detection step S13 and face detection step S14 are performed on the image data after the enhancement processing. Thereby, the control unit 39 obtains image data including color components suitable for skin color detection while sequentially changing the color components.

  When it is determined that the face area is detected in the face detection determination step S15, the control unit 39 determines the face area together with the captured image displayed on the touch panel 12 based on the detection result output from the face detection unit 52 in step S17. Is displayed.

  In step S18, the control unit 39 determines whether or not the face area has been correctly detected n times (predetermined number of times). Here, the control unit 39 can determine whether or not the face area has been correctly detected n times in succession, thereby preventing the face area from being erroneously detected as “a part that appears to be an accidental face”. The control unit 39 stores the frame result used for the previous face detection process, and compares the previous frame result with the newly obtained frame result to determine whether the face detection is correctly detected. Can be determined.

  When it is determined that the face area has not been correctly detected n times consecutively, the control unit 39 returns to the image data acquisition step S11 again and repeats the subsequent processing. At this time, in the enhancement processing step S12, the set value used in the previous enhancement processing is continuously adopted. For this reason, when the setting value used in the previous enhancement processing step S12 is inappropriate but the face detection is accidentally successful, it is determined in the face detection determination step S15 that no face area is detected, and the setting change step S16. Is set to a new value. On the other hand, when the set value used in the previous enhancement processing step S12 is appropriate, it is determined in the face detection determination step S15 that a face area has been detected. In this case, the image data acquisition step S11 to the continuous detection determination step S18 are repeated until face area detection succeeds n times in the continuous detection determination step S18.

  When it is determined that the face area has been correctly detected n times continuously in the continuous detection determination step S18, the control unit 39 sets the enhancement processing set value used in the previous enhancement processing step S2 in a predetermined storage area in step S19. Hold on. That is, by performing the image data acquisition step S11 to the continuous detection determination step S18, an appropriate enhancement processing setting value in the current surrounding environment is determined. As a result, even when the obtained image data has a color tone bias, it is possible to perform an accurate face detection process by performing an enhancement process using the stored setting value thereafter. it can.

  In step S20, the control unit 39 newly acquires image data. That is, the control unit 39 updates the frame. In step S <b> 21, the color tone correcting unit 53 performs enhancement processing based on the enhancement processing holding value held in the setting value holding step S <b> 19. In step S <b> 22, the skin color detection unit 51 performs a skin color detection process on the image data on which the enhancement process has been performed, and detects a skin color area in the image data. In step S <b> 23, the face detection unit 52 performs face detection processing based on the detection result output from the skin color detection unit 51, and detects an area determined to be a human face from the skin color area (person area). In step S <b> 24, the control unit 39 displays a face frame indicating the face area together with the captured image displayed on the touch panel 12 based on the detection result output from the face detection unit 52.

  In step S25, the control unit 39 determines whether or not there is an input from the user to the UI. When it is determined in the input determination step S25 that there is an input to the UI, the control unit 39 returns to the image data acquisition step S11 and repeats the subsequent processing. When the user inputs to the UI, for example, the current setting value of the emphasis process is inappropriate due to a change in color tone due to a change in the surrounding environment of the user, and skin color detection and face detection are performed. This means that the accuracy of Therefore, the control unit 39 returns to the image data acquisition step S11 in order to change the setting value of the enhancement process again, and performs the enhancement process based on the setting knowledge suitable for the current surrounding environment.

  On the other hand, if it is determined that there is no input to the UI, the control unit 39 determines whether or not the cameras 18 and 19 are terminated by the user in step S26. If the control unit 39 determines that the cameras 18 and 19 are not terminated, the control unit 39 returns to the image data acquisition step S20 and repeats the subsequent processing. On the other hand, if the control unit 39 determines that the cameras 18 and 19 have ended, the control unit 39 ends the processing.

  According to the mobile terminal 1 that executes the first face detection process having the first face detection accuracy improvement mode, even if the image data is uneven in color tone due to the surrounding environment at the time of shooting, the image data By correcting the color tone, the skin color can be detected with high accuracy. Specifically, the mobile terminal 1 improves the detection accuracy of the skin color detection process by sequentially performing the enhancement process while changing the numerical values of the R component and the B component, and as a result, the face detection accuracy can be improved.

  In particular, in the mobile terminal 1, the auto white balance function may not work correctly depending on the surrounding environment (the presence or absence of a plurality of types of light sources and the surrounding color). Even in such a case, the portable terminal 1 can correctly detect the skin color by performing the enhancement process.

  In addition, it is difficult for the mobile terminal 1 to mechanically determine that a color tone deviation has occurred in the captured image. On the other hand, by providing a UI for receiving an instruction to shift to the face detection accuracy improvement mode, the mobile terminal 1 can recognize a color tone bias using a user operation as a trigger. For this reason, the mobile terminal 1 can quickly shift to the face detection accuracy improvement mode, and can shorten the processing time until the detection of the face area.

  In the face detection process of FIG. 4 described above, the mode is shifted to the face detection accuracy improvement mode using an input to the user's UI as a trigger. On the other hand, in the face detection process described below, it is possible to automatically shift to the face detection accuracy improvement mode without depending on the user operation.

  FIG. 6 is a flowchart illustrating the second face detection process executed by the mobile terminal 1 in the present embodiment.

  Steps S31 to S34 are substantially the same as the image data acquisition step S1 to the result display step S4 in FIG.

  In step S35, the control unit 39 determines whether or not the face area has not been detected for a predetermined time or longer. It should be noted that the face area is not detected for a predetermined time or more includes a state in which no human face is present in the captured image and a state in which the face area cannot be detected due to color tone deviation. Here, when the face area has not been detected for a predetermined time or more, the control unit 39 regards the face area as being in a state where it cannot be detected due to the latter color tone bias.

  Although the non-detection of the face area for a predetermined time is determined here, it may be determined by the number of frames in which the face area is not detected continuously instead of the time. In step S <b> 35, the control unit 39 functions as a measurement unit that measures the non-detection time or the number of non-detections of the face area by the face detection unit 52.

  If the control unit 39 determines that the face area non-detection state has not continued for a predetermined time or more, the control unit 39 proceeds to step S36. Step S36 is substantially the same as the camera end determination step S6 in FIG. On the other hand, when the control unit 39 determines that the face detection state has not been detected for a predetermined time or longer, the control unit 39 shifts to the second face detection accuracy improvement mode in FIG.

  FIG. 7 is a flowchart for explaining the second face detection accuracy improvement mode executed by the mobile terminal 1 in the present embodiment.

  Steps S41 to S54 are substantially the same as the image data acquisition step S11 to the result display step S24 in FIG.

  In step S55, the control unit 39 determines whether or not the face area has not been detected for a predetermined time or longer. When the control unit 39 determines that the face area has not been detected for a predetermined time or longer, the control unit 39 returns to the image data acquisition step S41 and repeats the subsequent processes. This is based on the same purpose as the input determination step S25 in FIG. On the other hand, if the control unit 39 determines that the state where the face area has not been detected has not continued for a predetermined time or more, it determines whether or not the cameras 18 and 19 have been terminated by the user in step S56. If the control unit 39 determines that the cameras 18 and 19 are not terminated, the control unit 39 returns to the image data acquisition step S50 and repeats the subsequent processes. On the other hand, if the control unit 39 determines that the cameras 18 and 19 have ended, the control unit 39 ends the processing.

  According to the mobile terminal 1 that executes the second face detection process having the second face detection accuracy improvement mode, in addition to the effect exhibited when the first face detection process is executed, the face area non-detection for a predetermined time Therefore, since the mode automatically shifts to the face detection accuracy improvement mode, operability can be further improved without requiring a user operation.

  Further, even when the surrounding environment changes during shooting, the mobile terminal 1 can automatically shift to the face detection accuracy improvement mode on condition that the face area is not detected for a predetermined time. For this reason, when the change in the surrounding environment is large, the face detection accuracy improvement mode can be more suitably applied.

  In the present embodiment, when the color tone correction unit 53 performs the enhancement process, an example in which the setting value of the enhancement process that improves the detection accuracy by sequentially setting eight levels has been described. However, the setting value determination method for the emphasis process is not based on this. For example, when the mobile terminal 1 has information (for example, GPS or cell ID) for grasping the current position, the current position information and the wireless Based on the weather information of the current position acquired using the communication function, the value of each color component adopted for the enhancement process may be set. In this case, the mobile terminal 1 stores setting values corresponding to the weather as a table. The portable terminal 1 can read the setting value from the table according to the weather and use it for the enhancement process. Further, when the mobile terminal 1 can determine whether the current position is indoor or outdoor by GPS, the mobile terminal 1 holds values of each color component suitable for indoor or outdoor in advance, and sets a value according to the current position. May be read out.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

  The imaging apparatus according to the present invention can be applied not only to the portable terminal 1 but also to, for example, a PDA (Personal Digital Assistant), a portable game machine, a portable video player, and other electronic devices having a shooting function. .

  The series of processes described in the embodiments of the present invention can be executed by software, but can also be executed by hardware.

  Furthermore, in the embodiment of the present invention, the steps of the flowchart show the processing examples performed in time series in the order described, but they are not necessarily processed in time series but are executed in parallel or individually. It also includes the processing.

DESCRIPTION OF SYMBOLS 1 Mobile terminal 11 Case 12 Touch panel 13 Display part 14 Input part 16 Microphone 17 Speaker 18 Inner camera 19 Outer camera 32 Wireless transmission / reception part 33 Signal processing part 34 PCM codec 35 Reception amplifier 37 Transmission amplifier 39 Control part 43 Storage part 51 Skin color Detection unit 52 Face detection unit 53 Color tone correction unit

Claims (5)

An imaging unit that photoelectrically converts a subject image to generate an image signal of the captured image;
A skin color detection unit that detects a skin color region in the captured image based on the image signal;
A face detection unit that detects a face area of a person included in the captured image based on the detection result of the skin color area;
A display for displaying a face frame indicating the captured image and the face area;
A color tone correction unit that corrects the color tone of the captured image;
An imaging apparatus comprising: a control unit that detects the skin color area based on an image signal of the captured image that has been subjected to color tone correction under a predetermined condition. An input unit for receiving instructions;
The imaging apparatus according to claim 1, wherein the predetermined condition is when the input unit receives the instruction. A measurement unit that measures the non-detection time or the number of non-detections of the face area by the face detection unit
The imaging apparatus according to claim 1, wherein the predetermined condition is a case where the non-detection time or the number of non-detections measured by the measurement unit is a predetermined value or more. The imaging apparatus according to claim 1, wherein the color tone correction unit corrects the color tone of the captured image by changing a numerical value of a red component or a blue component of the image signal. If the face area is successfully detected for a predetermined number of times as a result of correcting the color tone, the color tone correcting unit uses the numerical values used when the face area is successfully detected to perform subsequent imaging. The imaging apparatus according to claim 4, wherein the color tone of the image is corrected.

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