KR101427653B1 - Method of controlling digital image processing apparatus performing face recognition, and image processing apparatus adopting the method - Google Patents

Abstract

The method according to the present invention includes steps (a) and (b) as a method of controlling a digital image processing apparatus having a display panel and performing face recognition in a live-view mode. In step (a), the face recognition area is set according to the area displayed on the display panel in the input live-view image. In the step (b), face recognition is performed on the display data of the set face recognition area, and in the step (a), different face recognition areas are set for each shooting mode of the digital image processing apparatus.

Digital camera, face recognition, photo-frame, split shot

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method of controlling a digital image processing apparatus and a digital image processing apparatus using the method,

The present invention relates to a control method of a digital image processing apparatus and a digital image processing apparatus employing the method, and more particularly, to a digital image processing apparatus having a display panel and performing face recognition in a live-view mode And a digital image processing apparatus employing the method.

A typical digital image processing apparatus, for example, a digital camera has a display panel and performs face recognition in a live-view mode.

Face Recognition algorithms have been available since the 1970s, and a wide variety of solutions are currently in widespread use. For example, it is used in a door control system, a time and attendance management system, a real time monitoring system, a video conference, a user authentication, a file encryption, a toy, and a distance education.

Therefore, various techniques are disclosed for face recognition. For example, if fast recognition speed is required, face recognition technology using geometric features of face is suitable. This technique is most commonly used among various face recognition technologies. The technique is to recognize faces of individuals using geometric factors such as the location, size, and distance between feature points of the face, such as eyes, nose, and mouth. Here, the geometric features are included in the final remaining elements when the resolution of the input image is lowered.

According to the above-described face recognition algorithm, a digital image processing device, for example, a digital camera, can perform face recognition in a live-view mode. Here, when at least one face is detected, the identification mark is displayed on the detected face, so that the user can easily set the photographing composition. In addition, in performing the photographing mode according to the signal from the shutter release button while the live-view mode is being performed, focusing is performed with respect to the detected face area (s), so that better focusing can be performed.

However, according to a typical digital image processing apparatus, when a special-effect photographing mode, for example, a photo-frame photographing mode or a divided photographing mode is scheduled, face recognition is performed in the live-view mode I can not. This is because, if there is a face image which is not displayed at the position of the special-effect image to be additionally displayed, the following problems occur.

First, in the live-view mode, the face mark is displayed at the location of additional special-effect video, which can cause visual confusion to the user.

Second, since focusing can be performed on a face area that is not displayed in the photographing mode, there is a high possibility that focusing is performed improperly, and the controller may be burdened with unnecessary motion.

Therefore, according to the conventional digital image processing apparatus, when a special-effect photographing mode, for example, a photo-frame photographing mode or a divided photographing mode is scheduled, for the above reasons, It can not be performed, and therefore, it can not enjoy the excellent effect of face recognition.

It is an object of the present invention to provide an image processing apparatus and method which can perform a face recognition even when a special-effect photographing mode, for example, a photo-frame photographing mode or a divided photographing mode, And to provide a digital image processing apparatus and a control method of the digital image processing apparatus.

According to another aspect of the present invention, there is provided a method of controlling a digital image processing apparatus having a display panel and performing face recognition in a live-view mode, the method including steps (a) and (b).

In the step (a), the face recognition area is set according to the area displayed on the display panel in the input live-view image.

In the step (b), face recognition is performed on display data of the set face recognition area, and in step (a), different face recognition areas are set for each shooting mode of the digital image processing apparatus do.

The apparatus of the present invention is a digital image processing apparatus having a display panel and a main controller and performing face recognition in a live-view mode. Here, the main controller operates by adopting the control method of the present invention.

According to the control method of the digital image processing apparatus and the digital image processing apparatus employing the method of the present invention, face recognition is performed on display data of an area displayed on the display panel in an input live-view image.

Accordingly, when a special-effect photographing mode, for example, a photo-frame photographing mode or a divided photographing mode is scheduled, even if there is a face image which is not displayed at the position of the special- The face is not recognized. Therefore, even when the special-effect shooting mode is scheduled, since the face recognition can be normally performed, excellent effects of face recognition can be obtained. That is, even when the special-effect shooting mode is scheduled, the user can easily set the shooting composition, and better focusing can be performed.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

Timer lamp 11, flash 12, shutter release button 13, and ASR (Advanced Shake) 13 are provided on the front and the top of the digital camera 1 as a digital image processing apparatus according to the present invention, Reduction button 16, a power button 17, a lens unit 20, a microphone MIC, and a speaker SP.

The self-timer lamp 11 operates during the set time from when the shutter release button 13 is depressed to when it starts capturing an image in the self-timer mode. In addition, the self-timer lamp 11 generates auxiliary light according to the user's selection.

The ASR mode button 16 is used to compensate for camera shake. The ASR mode button 16 is also used as a lock button. For example, when the ASR mode button 16 is pressed for less than one second, the shaking compensation function is performed. When the ASR mode button 16 is pressed for more than one second, the lock function in the playback mode is performed.

The shutter release button 13 has a two-stage structure. That is, when the user operates the wide angle-zoom button 39 _W and the tele-zoom button 39 _T and then presses the shutter release button 13 by one step, the SH1 signal from the shutter release button 13 is turned on ), And the SH2 signal from the shutter release button 13 is turned on when the second stage is pressed. In the still image shooting mode and the moving image shooting mode, an image is captured after the SH2 signal is turned on. In the continuous shooting mode, the image is continuously captured while the SH1 signal is turned on.

2, a digital camera 1 according to the present invention includes function buttons 15, a camera-state lamp 22, a special-effect button 23, a camera strap hook 24, There are a connection section 25, a display panel 35, a +/- button 36, a zoom / 9 division / volume button 39, a reproduction / printer button 42 and a mode button 43.

The function buttons 15 are used by the user to perform specific functions of the digital camera 1 and are used as direction-movement buttons of the active cursor in the menu screen of the display panel 35, And is used to switch between the file and the recording medium.

The camera-state lamp 22 is used to show various operational states of the camera. The special-effect button 23 is used to set special effects on the image to be photographed. The +/- button 36 is used to adjust the shutter speed, i.e., the exposure time, for night view photographing and the like.

The Zoom / 9 Split / Volume button 39 is used to perform a zooming operation in the shooting or playback mode, or to display nine pictures in one screen in the playback mode, or to adjust the volume of the audio .

The playback / printer button 42 is used for switching between a playback mode and a live-view mode or for direct output to a printer.

The mode button 43 is used to select a PMP (Portable Media Player) mode or various shooting modes.

Fig. 3 shows the overall configuration of the digital camera 1 of Fig. Fig. 4 shows the incident side structure of the digital camera of Fig. Referring to Figs. 1 to 4, the overall configuration and operation of the digital camera 1 of Fig. 3 will be described as follows.

An optical system (OPS) including the lens unit 20 and the filter unit 41 optically processes light from a subject. The lens portion of the optical system OPS includes a zoom lens ZL, a focus lens FL, and a compensation lens CL. In the live-view mode or the moving picture photographing mode, when the user presses the zoom / nine-division / volume button 39 included in the user input unit INP, a corresponding signal is input to the micro controller 512 . Accordingly, as the micro controller 512 controls the lens driving unit 510, the zoom motor M _Z is driven to move the zoom lens ZL.

For example, when a wide angle-zoom signal is generated, the focal length of the zoom lens ZL is shortened to increase the angle of view, and when a telephoto-zoom signal is generated, So that the angle of view is narrowed. Here, since the position of the focus lens FL is adjusted in a state where the zoom lens ZL is set, the view angle is hardly affected by the position of the focus lens FL.

Meanwhile, in the automatic focusing mode, the main controller built in the digital camera processor 507 controls the driving unit 510 through the micro controller 512 to drive the focus motor M _F. Thus, the focus lens FL is moved. In this process, the position of the focus lens, in which the luminance differences between adjacent pixels are the largest on average, is set as the number of drive steps of the focus motor M _F.

An operation algorithm of the digital camera processor 507 in the automatic focusing mode when the face recognition mode is set will be described in more detail with reference to FIGS. 10 and 11. FIG.

The compensation lens CL of the lens unit 20 of the optical system OPS is not separately driven since it serves to compensate the overall refractive index. Reference symbol M _A denotes a motor for driving an aperture (not shown).

In the filter section 41 of the optical system OPS, an optical low pass filter (OLPF) removes optical noise of a high frequency content. Infra-red cut filter (IRF) blocks incoming infrared light.

A photoelectric conversion unit OEC of a CCD (Charge Coupled Device) or a CMOS (Complementary Metal-Oxide-Semiconductor) converts light from the optical system OPS into an electrical analog signal. Here, the digital camera processor 507 controls the timing circuit 502 to control the operations of the photoelectric conversion unit (OEC) and the analog-digital conversion unit 501. A CDS-ADC (Correlation Double Sampler and Analog-to-Digital Converter) 501 as an analog-to-digital conversion section processes an analog signal from the photoelectric conversion section OEC, removes the high- , And generates digital image data.

The real-time clock 503 provides time information to the digital camera processor 507. The digital camera processor 507 processes the digital image data from the CDS-ADC 501 to generate digital image data classified into luminance and chroma signals.

The light-emitting section (LAMP) driven by the microcontroller 512 according to the control signals from the digital camera processor 507 incorporating the main controller includes a self-timer lamp 11 and a camera-state lamp 22 .

The user input unit INP includes a shutter release button 13, function buttons 15, an ASR mode button 16, a power button 17, a special-effect button 23, a +/- button 36, A zoom / nine division / volume button 39, a playback / printer button 42, a mode button 43, and the like.

In the DRAM (Dynamic Random Access Memory) 504, digital image data from the digital camera processor 507 is temporarily stored. An algorithm necessary for the operation of the digital camera processor 507 is stored in an EEPROM (Electrically Erasable and Programmable Read Only Memory) 505. In the memory card interface (MCI) 506, the user's memory card is detached. In the flash memory (FM), setting data necessary for the operation of the digital camera processor 507 is stored. In the memory card interface 506, a plurality of memory cards are detached and removed as user's recording media.

The digital image data from the digital camera processor 507 is input to the LCD driver 514, whereby the image is displayed on the display panel 35.

The digital image data from the digital camera processor 507 is transmitted through the USB (Universal Serial Bus) connection unit 21a or the RS232C interface 508 and the connection unit 21b through the serial communication in the interface unit 21 And can be transmitted as a video signal through the video filter 509 and the video output unit 21c.

The audio processor 513 outputs the audio signal from the microphone MIC to the digital camera processor 507 or the speaker SP and outputs the audio signal from the digital camera processor 507 to the speaker SP.

On the other hand, the micro controller 512 controls the operation of the flash controller 511 in accordance with the signal from the flash-light amount sensor 19 to drive the flash 12. [

FIG. 5 shows the main algorithm of the digital camera processor 507 of FIG. The main algorithm of the digital camera processor 507 of FIG. 3 will be described with reference to FIGS. 1, 3, and 5 as follows.

When operation power is applied to the digital camera 1, the digital camera processor 507 executes initialization (step S1).

When this initialization step S1 is executed, the digital camera processor 507 performs a live-view mode (step S2). In this live-view mode, the input image is displayed on the display panel 35.

When the face recognition mode is set in the following setting mode execution step S6, the face (s) are detected by the well-known face recognition algorithm in the subsequent live-view mode (step S2) Lt; / RTI >

As described above, various techniques are disclosed for face recognition. For example, if fast recognition speed is required, face recognition technology using geometrical features of face is suitable. This technique is most commonly used among various face recognition technologies. The technique is to recognize faces of individuals using geometric factors such as the location, size, and distance between feature points of the face, such as eyes, nose, and mouth. Here, the geometric features are included in the final remaining elements when the resolution of the input image is lowered.

Next, when the SH1 signal as the first stage signal from the shutter release button 13 is in the On state (step S3), the digital camera processor 507 performs the shooting mode (step S4).

Next, when signals corresponding to the setting mode are input from the input signals from the user input unit INP (step S5), a setting mode for setting the operating conditions according to the input signals from the user input unit INP is performed (Step S6).

On the other hand, if no termination signal is generated (step S7), the digital camera processor 507 determines whether a conversion signal to another arbitrary mode has been generated (step S8).

If no conversion signal to another mode is generated in step S8, the digital camera processor 507 repeats step S2 and the following steps. In step S8, if another mode, for example, a conversion signal to the reproduction mode is generated, the digital camera processor 507 repeats the step S2 and the following steps after performing the corresponding mode (step S9) do.

FIG. 6 shows an algorithm of the live-view mode execution S2 of FIG. 5 when the face recognition mode is set in the setting mode performing step S6 of FIG. FIG. 7A shows an example of a first input live-view image 7001. FIG. 7B shows a case where the first face recognition area 7003 corresponds to the first divided area displayed on the display panel 35 in the first input live-view image 7001 of Fig. 7A Is set. FIG. 8 shows that the face recognition area 8003 is set according to the inner area of the photo-frame displayed on the display panel 35 when the photo-frame shooting mode is set. 7B and 8, reference numerals 7005 and 8005 indicate marks displayed in the detected face area.

Referring to FIGS. 3 and 6 to 8, the algorithm of the live-view mode execution S2 of FIG. 5 when the face recognition mode is set in the setting mode execution step S6 of FIG. 5 will be described below.

First, the digital camera processor 507 determines which imaging mode is scheduled by the user (step S601).

If the general shooting mode is set in step S601, the digital camera processor 507 performs the following steps.

The digital camera processor 507 displays the input live-view image on the entire area of the display screen (step S603). Next, the digital camera processor 507 performs face recognition on the entire data of the input live-view image (step S605). If the face (s) is detected in step S605 (step S615), the digital camera processor 507 displays the face area using the mark (step S617).

If the photo-frame shooting mode is set in step S601, the digital camera processor 507 performs the following steps.

The digital camera processor 507 synthesizes and displays the input live-view image in the photo-frame (step S607, see Fig. 8). Next, the digital camera processor 507 sets the face recognition area 8003 according to the area displayed on the color LCD panel 35 in the input live-view image (step S611). Next, the digital camera processor 507 performs face recognition on the display data of the set face recognition area 8003 (step S612). If the face (s) is detected in step S612 (step S615), the digital camera processor 507 displays the face area using the mark 8005 (step S617).

Therefore, when the photo-frame photographing mode is scheduled, even if there is a face image that is not displayed at the position of the photo-frame image additionally displayed, the face is not recognized. Therefore, even when the photo-frame photographing mode is scheduled, since the face recognition can be normally performed, excellent effects of face recognition can be obtained. That is, even when the photo-frame photographing mode is scheduled, the user can easily set the photographing composition, and better focusing can be performed.

 Similarly, if the divided shooting mode is set in step S601, the digital camera processor 507 performs the following steps.

The digital camera processor 507 displays the input live-view image 7001 in the target division area of the color LCD panel 35 (step S609, see Fig. 7B). Next, the digital camera processor 507 sets the face recognition area 7003 according to the area displayed in the input live-view image (step S611). Next, the digital camera processor 507 performs face recognition on the display data of the set face recognition area 7003 (step S612). If the face (s) is detected in step S612 (step S615), the digital camera processor 507 displays the face area using the mark 7005 (step S617).

Therefore, when the divided shooting mode is scheduled, even if there is a face image that is not displayed at the position of the area other than the target divided area, the face is not recognized. Therefore, even when the divided shooting mode is scheduled, since the face recognition can be normally performed, excellent effects of face recognition can be obtained. That is, even when the divided shooting mode is scheduled, the user can easily set the shooting configuration, and better focusing can be performed.

9 shows the algorithm of the photographing mode execution (step S4) of FIG. The algorithm of the photographing mode execution (step S4) of FIG. 5 will be described with reference to FIG. 1, FIG. 3 to 5, and FIG. The execution of this algorithm is started when the SH1 signal, which is the first stage signal from the shutter release button, is in an On state. Here, the current position of the zoom lens ZL is already set.

First, the digital camera processor 507 checks the remaining capacity of the memory card (step S4101), and confirms whether or not it is the capacity to record the pixel data (step S4103). If not, the digital camera processor 507 indicates that the capacity of the memory card is insufficient, and ends the normal shooting mode (S43) (step S4105). In the case of recordable capacity, the following steps are performed.

First, the digital camera processor 507 performs white balance setting according to currently set shooting conditions to set parameters related to white balance (step S4107).

Next, the digital camera processor 507 performs automatic focusing (step S4109). The algorithm of performing the automatic focusing when the face recognition mode is set in the setting mode performing step S6 (step S4109) will be described in detail with reference to Figs.

Next, the digital camera processor 507 sets an appropriate exposure amount (step S4111). The algorithm of the exposure amount setting (step S4111) will be described in detail with reference to Fig.

Next, the digital camera processor 507 continues to perform the following steps if the SH1 signal, which is the first stage signal from the shutter release button, is on (step S4109).

First, the digital camera processor 507 confirms whether the SH1 and SH2 signals are in an On state (steps S4113 and S4115). If the SH2 signal is not in the on state, the digital camera processor 507 repeats the steps S4113 and S4115 because the user has not pressed the second end of the shutter release button 13 for photographing. Here, if the SH1 signal is not in the On state, the shooting mode (step S4) is ended because there is no user's intention to shoot.

If the SH2 signal is on, the digital camera processor 507 generates the image file on the memory card as the recording medium since the user presses the second end of the shutter release button 13 for photographing S4117). Subsequently, the digital camera processor 507 performs image capturing (step S4119). That is, the digital camera processor 507 receives the image data from the CDS-ADC device 501. Next, the digital camera processor 507 compresses the received image data (step S4121). Then, the digital camera processor 507 stores the compressed image data in the image file (step S4123).

FIG. 10 shows an algorithm of the automatic focusing operation (step S4109) of FIG. 9 when the face recognition mode is set in the setting mode performing step S6 of FIG. 11 is a graph for explaining the principle of focusing in steps S1005, S1009, and S1011 of FIG.

In Fig. 11, reference symbol DS denotes the number of drive steps as the position of the focus lens (FL in Fig. 4). Reference numeral FV denotes a focus value that can be called an average contrast between neighboring pixel data as a result of summing up difference values between adjacent pixel data. Reference sign DS _I indicates the number of drive steps of the focus lens FL at the set upper limit position. DS _FOC denotes the number of drive steps of the focus lens FL at the position of the maximum focus value FV _MAX of the set movement areas DS _I to DS _S and DS _S denotes the number of drive steps of the focus lens FL at the set low- FL, respectively.

Referring to FIGS. 3 to 5, 10 and 11, an algorithm of the automatic focusing operation (step S4109) of FIG. 9 when the face recognition mode is set in the setting mode performing step S6 of FIG. 5 will be described as follows .

First, the digital camera processor 507 detects the face (s) by performing a face recognition mode by a well-known face recognition algorithm (step S1001).

As described above, various techniques are disclosed for face recognition. For example, if fast recognition speed is required, face recognition technology using geometrical features of face is suitable. This technique is most commonly used among various face recognition technologies. The technique is to recognize faces of individuals using geometric factors such as the location, size, and distance between feature points of the face, such as eyes, nose, and mouth. Here, the geometric features are included in the final remaining elements when the resolution of the input image is lowered.

After performing the face recognition mode (step S1001), the digital camera processor 507 determines whether face (s) is detected (step S1003).

If no face is detected in step S1003, the digital camera processor 507 performs focusing on the setting reference area, and moves the focus lens FL to the focus position (step S1005). Here, the setting reference area corresponds to the central area in the case of this embodiment.

The focus value FV for each position of the focus lens FL is calculated while the focus lens FL is moved stepwise in the set movement areas DS _I to DS _S in step S1005 ). The maximum focus value FV _MAX of the set movement areas DS _I to DS _S is found out of the calculated focus values FV and the focus lens FL is moved to the position of the maximum focus value FV _MAX .

On the other hand, if a face is detected in step S1003, the digital camera processor 507 determines whether a plurality of faces have been detected (step S1007).

If a plurality of faces are not detected and only a single face is detected in step S1007, the digital camera processor 507 performs focusing on the detected face area to move the focus lens FL to the focus position (step S1009 ).

 The process of step S1009 is as described in detail in step S1005. However, only the analysis target area of the video data is different.

13A and 13B), the digital camera processor 507 performs focusing on each of the plurality of detected face areas to obtain focus positions (step S1011 ). Here, the focusing process for any one face region is as described in detail in the above step S1005. However, focusing is performed simultaneously on different face areas.

Next, the digital camera processor 507 moves the focus lens FL to the focus position of the face area 91 at the center of the screen or the shortest distance as the representative face area (step S1013).

FIG. 12A shows an example of a second input live-view image 1201. FIG. 12B is a diagram illustrating a second face recognition area (a second face recognition area) 1202 according to the second divided area displayed on the display panel 35 in the second input live-view image 1201 of Fig. 12A after the first image is captured in the divided shooting mode 1203) are set. In this case, since face recognition is performed only on the display data of the second face recognition area 1203, the face (s) are detected only in the second face recognition area 1203, and the mark 1205 is displayed.

FIG. 13A shows an example of a third input live-view image 1301. FIG. FIG. 13B is a diagram showing a third face recognition area (FIG. 13B) according to the third divided area displayed on the display panel 35 in the third input live-view image 1301 of FIG. 13A after the second image is photographed in the sub- 1303) is set. In this case, since face recognition is performed only on the display data of the third face recognition area 1303, faces are detected only in the third face recognition area 1303, and the marks 1305 and 1307 are displayed.

FIG. 14A shows an example of the last fourth input live-view image 1401. FIG. 14B is a view showing a fourth face recognition area 1401 according to the fourth divided area displayed on the display panel 35 in the last fourth input live view image 1401 of FIG. 14A after the third image is taken in the divided shooting mode, (1403) is set. In this case, since face recognition is performed only on the display data of the fourth face recognition area 1403, faces are detected only in the fourth face recognition area 1403, and the marks 1405 and 1407 are displayed.

As described above, according to the control method of the digital image processing apparatus and the digital image processing apparatus employing the method of the present invention, the display data of the area displayed on the display panel in the input live- Is performed.

Accordingly, when a special-effect photographing mode, for example, a photo-frame photographing mode or a divided photographing mode is scheduled, even if there is a face image which is not displayed at the position of the special- The face is not recognized. Therefore, even when the special-effect shooting mode is scheduled, since the face recognition can be normally performed, excellent effects of face recognition can be obtained. That is, even when the special-effect shooting mode is scheduled, the user can easily set the shooting composition, and better focusing can be performed.

The present invention is not limited to the above-described embodiments, but can be modified and improved by those skilled in the art within the spirit and scope of the invention defined in the claims.

FIG. 1 is a perspective view showing a front side and an upper side of a digital camera as a digital image processing apparatus employing the control method according to the present invention.

FIG. 2 is a rear view showing a rear outer shape of the digital camera of FIG. 1;

FIG. 3 is a diagram showing the overall configuration of the digital camera of FIG. 1. FIG.

4 is a view showing the incident side structure of the digital camera of FIG.

5 is a flow chart showing the main algorithm of the digital camera processor of FIG.

FIG. 6 is a flowchart illustrating an algorithm for performing the live-view mode of FIG. 5 when the face recognition mode is set in the setting mode performing step of FIG.

7A is a diagram showing an example of a first input live-view image.

FIG. 7B is a view showing that the first face recognition area is set according to the first divided area displayed on the display panel in the first input live-view image of FIG. 7A when the divided shooting mode is scheduled.

8 is a view showing that a face recognition area is set according to an inner area of a photo-frame displayed on a display panel when a photo-frame shooting mode is set.

9 is a flowchart showing the algorithm of the photographing mode execution of FIG.

FIG. 10 is a flowchart showing an algorithm of the automatic focusing operation of FIG. 9 when the face recognition mode is set in the setting mode performing step of FIG.

11 is a graph for explaining the principle of focusing in steps S1005, S1009, and S1011 of FIG.

12A is a diagram showing an example of a second input live-view image.

12B is a view showing that the second face recognition area is set according to the second divided area displayed on the display panel in the second input live-view image of FIG. 12A after the first image is shot in the split shooting mode.

13A is a diagram showing an example of a third input live-view image.

13B is a view showing that a third face recognition area is set according to the third divided area displayed on the display panel in the third input live-view image of FIG. 13A after the second image is shot in the split shooting mode.

14A is a diagram showing an example of the last input live-view image.

14B is a view showing that the fourth face recognition area is set according to the fourth divided area displayed on the display panel in the fourth input live-view image of FIG. 14A after the third image is shot in the split shooting mode.

 Description of the Related Art

1 ... digital camera, 11 ... self-timer lamp,

12 ... flash, 13 ... shutter release button,

15 ... function buttons, 16 ... ASR mode button,

17 ... power button, 19 ... flash-light sensor, 20 ... lens, 22 ... camera-status lamp,

23 ... special-effect button, 24 ... camera strap hook,

25 ... earphone connection, MIC ... microphone,

SP ... speaker, 35 ... display panel,

36 ... + / - button, 39 ... Zoom / 9 split / volume button,

42 ... play / printer button, 43 ... mode button,

OPS ... Optical system, OEC ... Photoelectric conversion unit, M _Z ... Zoom motor, M _F ... Focus motor,

M _A ... aperture motor, 501 ... analog-to-digital converter,

502 ... timing circuit, 503 ... real time clock,

504 ... DRAM, 505 ... EEPROM, 506 ... memory card interface, 507 ... digital camera processor, 508 ... RS232C interface, 509 ... video filter, 21a ... USB connection, 21b A light emitting portion, a light emitting portion, a light emitting portion, a light emitting portion, and a light emitting portion. ... audio processor, 514 ... LCD driver, 62 ... flash memory.

Claims (8)

A control method of a digital image processing apparatus having a display panel and performing face recognition in a live-view mode, (a) setting a face recognition area according to an area displayed on the display panel in an input live-view image; And (b) performing face recognition on display data of the set face recognition area, In the step (a) Wherein a different face recognition area is set for each shooting mode of the digital image processing apparatus. 2. The method of claim 1, wherein in step (a) Wherein the face recognition area is set according to an inner area of a photo-frame displayed on the display panel when a photo-frame shooting mode is set. 2. The method of claim 1, wherein in step (a) Wherein the face recognition area is set according to a target division area displayed on the display panel in an input live-view image when the divided shooting mode is set. 2. The method of claim 1, wherein in step (b) And displaying an identification mark on the detected face when at least one face is detected. The control method of a digital image processing apparatus according to claim 1, wherein a shooting mode is performed when a first stage signal from a shutter release button is generated while the live-view mode is being performed. 5. The method according to claim 4, wherein, in the shooting mode, (a) if only one face is detected, focus is performed on the face area to obtain a focus position; And (b) moving the focus lens to the focus position of the face area. 6. The method according to claim 5, wherein, in the shooting mode, (a) when a plurality of faces are detected, focusing is performed on a face area at a shortest distance among the plurality of face areas to obtain a focus position; And (b) moving the focus lens to the focus position of the face area at the shortest distance. A digital image processing apparatus having a display panel and a main controller and performing face recognition in a live-view mode, Wherein the main controller operates using at least one of the control methods according to any one of claims 1 to 6.

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