JP2008172732A - Imaging apparatus, control method thereof, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To accomplish a technology by which it can be accurately determined whether a main object to which a photographer pays attention is properly exposed or not by identifiably displaying a corresponding relation between a plurality of specific objects detected from a photographed image and histograms thereof. <P>SOLUTION: The present invention relates to an imaging apparatus including a face detection function for detecting the face of a person from a photographed image, a histogram calculation function for calculating a histogram of a pixel value of the photographed image, and a display unit for displaying the photographed image and the histogram, wherein when a plurality of face regions exist in the photographed image, for each face region, a histogram corresponding to a size of the relevant face image is calculated and when displaying the photographed image, a corresponding relation between the face regions and the histograms thereof is identifiably displayed. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a display control technique for an imaging apparatus having a face detection function and a histogram calculation function.

  Conventionally, there is a camera (Patent Document 1) equipped with a face detection function and a histogram display function calculated from the luminance of an image, and a camera (Patent Document 2) that distinguishes and displays the entire image and each histogram of a selected area.

The histogram is important information for determining the proper exposure of the subject.
JP 2006-254129 A JP 2003-125240 A

  However, merely displaying the histogram of the entire image cannot identify the histogram corresponding to each face area when there are a plurality of face areas in the same image or when the size of each face area is different. For this reason, the photographer cannot determine whether the exposure of the face of the main subject most desired to be photographed is appropriate.

  The present invention has been made in view of the above problems, and an object of the present invention is to display a correspondence relationship between a plurality of specific subjects detected from a captured image and their histograms so that the main subject that the photographer pays attention to is properly exposed. It is to realize a technology that can accurately determine whether or not.

  In order to solve the above problems and achieve the object, an imaging apparatus according to the present invention includes an imaging unit that captures an image, an object detection unit that detects a specific object from the captured image, and a histogram of pixel values of the captured image. Histogram calculation means for calculating the image, and display means for displaying the captured image and the histogram on the same screen, the histogram calculation means, when there are a plurality of specific subjects in the captured image, For each specific subject, a histogram of the area occupied by the subject is calculated, and the display means can identify the specific subject and the histogram corresponding to the specific subject when displaying the captured image. indicate.

  In addition, the control method of the imaging apparatus of the present invention includes a photographing unit that captures an image, a subject detection unit that detects a specific subject from the captured image, a histogram calculation unit that calculates a histogram of the captured image, and the captured image. And a display means for displaying the histogram on the same screen, wherein when there are a plurality of specific subjects in the photographed image, the histogram calculation means for each of the specific subjects And calculating the histogram of the image of the area occupied by the subject, and displaying the specific subject and the histogram corresponding to the specific subject in a distinguishable manner when the display means displays the captured image. Steps.

  According to the present invention, the correspondence between a plurality of specific subjects detected from a photographed image and their histograms is displayed so as to be identifiable, and it is possible to accurately determine whether or not the main subject that the photographer pays attention to is proper exposure. Can be realized.

  The best mode for carrying out the present invention will be described below in detail with reference to the accompanying drawings.

  The embodiment described below is an example as means for realizing the present invention, and should be appropriately modified or changed according to the configuration and various conditions of the apparatus to which the present invention is applied. It is not limited to the embodiment.

[Camera configuration]
FIG. 1 is a block diagram showing the configuration of a digital camera that implements the imaging apparatus of the present invention.

  The digital camera of the present embodiment has a face detection function, which will be described later, and a histogram calculation function for calculating a histogram of pixel values of the entire image and the face area. When a plurality of faces are detected from a captured image (hereinafter referred to as a captured image), the present camera displays the captured image, the entire image, and the histogram of the face area image on the same screen. The correspondence between the area and the histogram of the face area is displayed so as to be identifiable by a pattern or color.

  In FIG. 1, reference numeral 1 denotes a replaceable lens unit, which includes a zoom lens and a focusing lens (hereinafter referred to as a photographic lens). Reference numeral 1A denotes an AF (autofocus) drive circuit that drives the focusing lens of the lens unit 1 to a focus position. The AF drive circuit 1A drives the stepping motor according to the control of the microcomputer 16, for example, and moves the focusing lens to the focus position to focus. The defocus amount used for the calculation of the focus position is detected by the AF sensor 24. Reference numeral 1B denotes an aperture driving circuit that changes the optical aperture value according to the control of the microcomputer 16. Further, the microcomputer 16 acquires information on the current zoom position (focal length information) and the current distance ring position (subject distance) from the lens unit 1. Furthermore, the microcomputer 16 determines whether the lens unit 1 is attached or not attached to the camera body based on whether communication with the lens unit 1 is possible.

  A quick return mirror 2 is controlled by an microcomputer (not shown) by the microcomputer 16 and is up / down during exposure / non-exposure. The quick return mirror 2 is a half mirror for guiding light to the AF optical system (AF sensor 24), and the sub mirror is also interlocked.

  Reference numeral 3 denotes a focusing screen. A photographer observes a subject image displayed on the focusing screen 3 through a pentaprism 4 and a finder optical system (not shown), thereby focusing and composition of the subject image obtained through the photographing lens. Can be confirmed.

  Reference numeral 5 denotes a focal plane shutter, and the microcomputer 16 can freely control the exposure time for the image sensor 6, that is, the charge accumulation time of the image sensor 6. The focal plane shutter 5 is generally composed of a front curtain and a rear curtain, and the exposure time is freely controlled by the interval between the two curtains.

  A CCD or CMOS sensor is applied to the image sensor 6, and a subject image formed on the image sensor 6 by a photographing lens is photoelectrically converted and taken out as an electric signal (image signal).

  Reference numerals 7 and 8 denote clamp / CDS (Correlated Double Sampling) and AGC (Auto Gain Controller) which sample and hold the image signal to obtain an appropriate signal level. Reference numeral 9 denotes an A / D converter that converts the analog image signal from the CDS / AGC into digital image data, and performs A / D conversion in accordance with preset ISO sensitivity.

  The clamp / CDS 7 and AGC 8 perform basic analog signal processing on the image signal before A / D conversion taken out from the image sensor 6, and the microcomputer 16 can change the clamp level and the AGC reference level.

  The video signal processing circuit 10 subjects the digital image signal to filter processing, color conversion processing, and gamma / knee processing, and outputs the result to the memory controller 13. The video signal processing circuit 10 has a built-in D / A converter, which converts the image signal extracted from the image sensor 6 and the image data read by the memory controller 13 into an analog signal and outputs the analog signal to the liquid crystal drive circuit 11. Then, it is reproduced and displayed on the liquid crystal display unit 12 such as a TFT. These display functions are switched by the microcomputer 16. Further, the microcomputer 16 corrects the parameters of the color processing by the video signal processing circuit 10 using the signal processing result in the video signal processing circuit 10 and the photometric data obtained from the AE sensor 25, thereby adjusting the white balance (AWB). adjust.

  Here, the video signal processing circuit 10 has a face detection function for detecting a face area of a person from image data before and after shooting, and a histogram calculation function for calculating a histogram for the entire shot image and each face area. . The face area and the histogram calculation result can be displayed on the liquid crystal display unit 12 together with the photographed image under the control of the microcomputer 16.

  The liquid crystal display unit 12 displays the image data stored in the memory 14 or the buffer memory 19 via the D / A conversion unit. Further, an electronic viewfinder (EVF) function can be realized by processing an image signal taken out from the image sensor 6 in real time and sequentially displaying it on the liquid crystal display unit 12.

  Further, the liquid crystal display unit 12 can arbitrarily turn on / off the display under the control of the microcomputer 16, and when the display is turned off, the power consumption of the camera can be greatly reduced.

  The microcomputer 16 includes a CPU that is a processor that controls the entire camera, a ROM that stores a processing procedure by the CPU, a RAM that is used as a work area of the CPU, and the like.

  Various methods are known as face detection techniques. For example, there is a method using learning represented by a neural network. In addition, there is a technique for identifying parts having physical shape features such as eyes, nose, mouth, and facial contour from image data using template matching. In addition, there is a technique that detects a feature amount of image data such as skin color or eye shape and uses statistical analysis (for example, Japanese Patent Laid-Open Nos. 10-232934 and 2000-48184). reference). In the present embodiment, face identification processing is performed by detecting a pair of eyes (both eyes), nose, mouth, and face outline, and determining a person's face from their relative positions.

  Further, the histogram calculation processing calculates, for example, a histogram of the entire image and a histogram for each face region by using, for example, at least one of luminance, R component, G component, and B component as pixel values of the image data. .

  The video signal processing circuit 10 can also store image data in the buffer memory 19 through the memory controller 13 under the control of the microcomputer 16. The video signal processing circuit 10 also includes a data compression / decompression function such as JPEG. In the case of continuous shooting, image data is temporarily stored in the buffer memory 19, unprocessed image data is read through the memory controller 13 when there is processing time, and the video signal processing circuit 10 performs signal processing and data compression processing to perform continuous processing. Earn a speed. The number of continuous shots depends on the storage capacity of the buffer memory 19.

  Further, the microcomputer 16 calculates predicted value data of the image size according to the ISO sensitivity, the image size, and the image quality set before photographing. Based on the predicted value data, the memory controller 13 detects the remaining amount of the memory 14, calculates the number of shootable images, and displays it on the in-finder liquid crystal display member 23.

  The memory controller 13 stores the unprocessed digital image data output from the video signal processing circuit 10 in the buffer memory 19 and stores the processed digital image data in the memory 14. On the contrary, the memory controller 13 reads out the image data stored in the buffer memory 19 or the memory 14 and outputs it to the video signal processing circuit 10. Further, the memory controller 13 stores image data input from an external device such as a PC through the external interface 15 in the memory 14, and outputs the image data stored in the memory 14 to the external device through the external interface 15. The memory 14 may be configured to be detachable from the camera body.

  The power supply unit 17 supplies power necessary for ICs, actuators, and the like constituting each block of the camera body.

  The operation member 18 outputs an operation state to the microcomputer 16, and the microcomputer 16 controls each block in accordance with the state change of the operation member 18.

  Reference numerals 20A and 20B denote release buttons, which are switches connected to the operation member 18. When only SW1 of 20A is on, the release button is half-pressed, and shooting is performed when both the SW1 of 20A and SW2 of 20B are both fully pressed.

  In addition to the release buttons 20A and 20B, the operation member 18 is connected to switches (not shown) such as an ISO setting button, an image size setting button, an image quality setting button, an information display button, and the operation state of each switch is detected. The

  A liquid crystal drive circuit 21 drives the external liquid crystal display member 22 and the in-finder liquid crystal display member 23 according to the control of the microcomputer 16. Further, a backlight (not shown) such as an LED is disposed on the in-finder liquid crystal display member 23, and the LED is also driven by the liquid crystal driving circuit 21.

  An AF sensor 24 outputs a defocus amount to the microcomputer 16. The microcomputer 16 controls the AF driving circuit 1A based on the defocus amount to move the focusing lens to the focus position.

  Reference numeral 25 denotes an AE sensor, which measures the luminance of the object projected on the focusing screen 3 through the pentaprism 4 and outputs photometric data to the microcomputer 16.

  Reference numeral 26 denotes a low-pass filter having an infrared cut function.

[Shooting operation]
Next, with reference to the block configuration of FIG. 1 and the shooting flow of FIG. 2, the shooting operation by the digital camera of this embodiment will be described.

  FIG. 2 is a flowchart showing a photographing operation by the digital camera of the present embodiment.

  The following steps are realized by the microcomputer 16 reading and executing a control program stored in the ROM when the camera is turned on.

  S301: After starting the processing, the elapsed time from the power-on is measured by a timer, and it is determined whether the elapsed time has passed the specified time without any operation of the operation member 18 or the release buttons 20A and 20B. If timed out, the process proceeds to S320 to turn off the power, and if not timed out, the process proceeds to S302.

  S302: Here, as various settings, for example, the operation member 18 is operated to set an operation mode such as shooting / playback or a shooting mode such as single shooting / continuous shooting.

  S303: The subject brightness is measured using the AE sensor 25, and the shutter time and aperture value for obtaining a proper exposure are calculated using the photometric data.

  S304: The defocus amount of the subject is detected using the AF sensor 24, and the focusing lens is moved to the focus position based on the defocus information.

  S305: When the EVF function is ON, the quick return mirror 2 is retracted from the optical path to be in the up state, and the focal plane shutter 5 is fully opened, so that the image sensor 6 can be always exposed. Then, by causing the image sensor 6 to continuously perform a charge accumulation operation, an image before photographing is displayed on the liquid crystal display unit 12 in real time. Further, the various setting states and mode states set in S302 are displayed on the external liquid crystal display member 22. Further, the remaining amount of the memory 14 is detected by the memory controller 13 based on the predicted value data of the image size corresponding to the ISO sensitivity, the image size, and the image quality set in S302, and the number of shootable images is calculated to calculate the number of images that can be taken. Displayed on the liquid crystal display member 23. Further, the shutter time and aperture value calculated in S303, the defocus amount detected in S304, and the effective distance measurement position are displayed on the in-finder liquid crystal display member 23. At this time, since the quick return mirror 2 is retracted from the optical path, the AF sensor 24 and the AE sensor 25 cannot be used. Therefore, similarly to a general compact digital camera, processing for obtaining the defocus amount and the luminance of the subject is performed using the output of the image sensor 6. If the EVF function is OFF, the process of step S305 is omitted.

  S306: It is determined whether the release buttons 20A and 20B are in the half-pressed state. If only the switch 20A is in the half-pressed state, the process proceeds to S307 to update the timer, and if neither switch is pressed, the process returns to S301. To do.

  S307: Update the timer that started timing in S301.

  S308: It is determined whether the release button is fully pressed and whether the release button has been fully pressed (whether 20A and 20B have been turned on at the same time). If not, the process returns to S301.

  S309: If the EVF function is OFF, the quick return mirror 2 is controlled to the up state, and the aperture of the lens unit 1 is controlled to the aperture value calculated in S303. If the EVF function is ON, since the quick return mirror 2 is already in the up state, the aperture of the lens unit 1 is controlled to the aperture value calculated in S303.

  S310: The focal plane shutter 5 is controlled to the shutter time calculated in S303, and analog signal processing is performed by the clamp / CDS7, AGC8, and A / D conversion unit 9 on the image signal taken out from the image sensor 6. If the EVF function is OFF, the shutter time is adjusted by controlling the distance between the front curtain and the rear curtain of the focal plane shutter 5 that travels. If the EVF function is ON, the front curtain has already traveled, so the shutter time is adjusted by controlling the reset (charge discharge) operation of the image sensor 6 and the travel distance of the rear curtain.

  S311: The quick return mirror 2 is returned to the down state, and the aperture of the lens unit 1 is controlled to the open state.

  S 312: The sensitivity is adjusted based on the gain value for the ISO value set in AGC 8, and the image signal is temporarily stored in the buffer memory 19 through the memory controller 13.

  S313: Based on the white balance information acquired from the video signal processing circuit 10, the gains of R and B used for video signal processing are calculated so as to obtain an appropriate color.

  S314: When the video signal processing circuit 10 is at a load level at which image processing can be performed, image processing and data compression are performed on an unprocessed image signal stored in the buffer memory 19, and processing for storing in the memory 14 is started. Here, in the case of continuous shooting or the like, the image data is sequentially stored in the buffer memory 19, but the image processing may be stopped. Further, the video signal processing circuit 10 performs face detection processing and histogram calculation processing on the image signal.

  S315: The number of shootable images is calculated.

  S316: The image signal processed in S314 is output to the liquid crystal drive circuit 11 and displayed on the liquid crystal display unit 12. At the same time, the histogram calculation result by the video signal processing circuit 10 is displayed on the liquid crystal display unit 12. The display of the face area and the histogram calculation result may be performed not only when the captured image is reproduced and displayed but also when the EVF display for displaying the captured image in real time is ON (S305).

  S317: Each shooting condition determined in S303, S304, and S315 is output to the liquid crystal drive circuit 21, displayed on the external liquid crystal display member 22, and simultaneously displayed on the liquid crystal display member 23 in the viewfinder.

  S318: Based on the determination result of whether there is a storable area in the memory 14 and the determination result of the remaining amount of the unprocessed image signal on the buffer memory 19, it is determined whether or not the photographing is possible. If photographing is possible, the process returns to S301, and if photographing is not possible, the process proceeds to S319 in order to display a warning display.

  S319: Information representing that the camera is not ready for photographing is displayed in S318.

  S320: The liquid crystal display unit 12 is turned off by the liquid crystal drive circuit 11, and the backlight of the liquid crystal display member 23 in the viewfinder is also turned off.

  S321: Wait until the image processing, data compression, and storage in the memory 14 started in S314 are all completed and the image storage area of the buffer memory 19 becomes empty.

  In step S322: 17, the power supply unit 17 is controlled to turn off unnecessary power.

[Face detection and histogram calculation display process 1]
Next, the face detection and histogram calculation display processing 1 in S314 and S316 of FIG. 2 will be described with reference to FIG.

  3A is a photographed image, FIG. 3B is a conventional histogram display, and FIG. 3C is a photographed image according to the present embodiment. The part a is a face detected and corresponds to the part a. The histogram shown is the portion b in FIG. FIG. 3D shows a display example in which the histogram b of the face area is superimposed on the histogram c of the entire image. FIG. 3E shows an example in which the face area a, the histogram b of the face area a, and the histogram c of the entire image are displayed on the same screen by the liquid crystal display unit 12.

  When the microcomputer 16 displays the captured image and the histogram of the entire image and the image of the face area on the same screen by the liquid crystal display unit 12, the correspondence relationship between the face area and the histogram of the face area is identified by a pattern or a color. Display as possible.

  It is possible to accurately determine whether the brightness of the face area a is appropriate or not by the histogram b by observing the screen of FIG. 3E at the time of reproduction display or EVF display of the captured image. Become. Further, in the shooting of the next scene, it is possible to determine how much exposure correction is necessary for properly shooting the face of the subject.

[Face detection and histogram calculation display process 2]
Next, the face detection and histogram calculation display processing 2 in S314 and S316 of FIG. 2 when a plurality of face regions exist in the same image will be described.

  In FIG. 3, only one face area exists in the same image. On the other hand, when there are a plurality of face regions, a histogram for each of the plurality of face regions is used to determine whether the exposure of the face of the main subject arbitrarily determined by the photographer is appropriate. It is effective to display them separately.

  The video signal processing circuit 10 executes face detection processing on the captured image, and when a plurality of face areas are detected from the same image, a histogram corresponding to the size of the area occupied by each face is calculated.

  The microcomputer 16 causes the liquid crystal display unit 12 to display the captured image and the histogram of the entire image and the pixel values of the face area on the same screen. At this time, when a plurality of face areas exist in the photographed image, the correspondence between each face area and the histogram of the face area is displayed so as to be identifiable by a pattern or a color.

  FIG. 4A illustrates a captured image in which an image including three persons is captured and three face regions are present. In the image of FIG. 4A, three face areas a1, a2, and a3 indicated by different patterns in descending order of the size of the face area, that is, “hatched area”, “horizontal line area”, and “grid line area”. Is present. FIG. 4B shows an example in which the histograms of the three face regions are displayed in a pattern corresponding to the histogram c of the entire image in FIG. FIG. 4C shows an example in which the face areas a1, a2, and a3, the histograms b1, b2, and b3 of the face areas and the histogram c of the entire image are displayed on the same screen by the liquid crystal display unit 12.

  When the photographer observes the screen of FIG. 4C at the time of reproduction display or EVF display of the captured image, histograms b1, b2, b3 indicate whether the brightness is appropriate for each of the face areas a1, a2, a3. It becomes possible to determine more accurately. Accordingly, it is possible to accurately determine whether the brightness of the face of the person (main subject) that the photographer wants to photograph most is appropriate. Further, in the shooting of the next scene, it is possible to determine how much exposure correction is necessary in order to properly capture the face of the subject.

[Face detection and histogram calculation display process 3]
Next, the face detection and histogram calculation display process 3 in S314 and S316 of FIG. 2 when the face area sizes are different from each other will be described.

  When the size of the face area is relatively small with respect to other faces, the face area histogram is a graph with a small vertical axis with respect to the entire image, making it difficult to determine the exposure of the face area. The following example is a display process for improving such an inconvenience.

  The video signal processing circuit 10 executes face detection processing on the captured image, and when a plurality of face areas are detected from the same image, a histogram corresponding to the size of the area occupied by each face is calculated. Furthermore, the video signal processing circuit 10 extracts only the histogram of the face area from the histogram of the entire image, and normalizes the vertical axis of the histogram corresponding to the extracted face area.

  The microcomputer 16 displays the captured image and the extracted histogram of the face area on the same screen by the liquid crystal display unit 12. At this time, when a plurality of face areas exist in the photographed image, the correspondence between each face area and the histogram of the face area is displayed so as to be identifiable by a pattern or a color.

  FIG. 5A shows a histogram b′1 obtained by extracting only portions corresponding to the face areas a1, a2, and a3 from the histogram c of FIG. 4B and normalizing the vertical axes of the histograms b1, b2, and b3. , B′2 and b′3. FIG. 5B shows an example in which the face areas a1, a2, a3 by the liquid crystal display unit 12 and histograms b′1, b′2, b′3 obtained by normalizing the histograms of the face areas are displayed on the same screen. ing.

  Here, there are a mode in which the histogram of the entire image and the histogram of the face area are displayed in an overlapping manner (FIG. 4C) and a mode in which only the histogram of the face area is extracted and normalized and displayed (FIG. 5B). The operation member 18 can be switched.

  When the photographer observes the screen of FIG. 5B during playback display or EVF display of the captured image, the histogram b′1, b indicates whether the brightness is appropriate for each of the face areas a1, a2, and a3. It becomes possible to make an accurate and easy determination by comparing '2, b'3. Therefore, it is possible to accurately and easily determine whether the brightness of the face of the person (main subject) that the photographer wants to photograph most is appropriate. In addition, it becomes easy to determine how much exposure correction is necessary in order to properly capture the face of the subject in the next scene.

  In the present embodiment, as the subject detection means of the present invention, a means for detecting a person's face as a specific subject from a captured image has been described as an example. However, the present invention can also be applied to subjects other than the face. The goal can be achieved. Further, as the subject detection means, not only template matching and a method for detecting an outline, but also a method for allowing a user to specify a region to be a specific subject by using focal length information, color information, or the operation member 18 is used. It doesn't matter.

[Other Embodiments]
The object of the present invention can also be achieved by the following method. That is, a storage medium (or recording medium) in which a program code of software that realizes the functions of the above-described embodiments is recorded is supplied to the system or apparatus. Then, the computer (or CPU or MPU) of the system or apparatus reads and executes the program code stored in the storage medium. In this case, the program code itself read from the storage medium realizes the functions of the above-described embodiments, and the storage medium storing the program code constitutes the present invention. Further, by executing the program code read by the computer, not only the functions of the above-described embodiments are realized, but the present invention includes the following cases. That is, an operating system (OS) running on a computer performs part or all of actual processing based on an instruction of a program code, and the functions of the above-described embodiments are realized by the processing.

  Furthermore, the following cases are also included in the present invention. That is, the program code read from the storage medium is written in a memory provided in a function expansion card inserted into the computer or a function expansion unit connected to the computer. Thereafter, based on the instruction of the program code, the CPU or the like provided in the function expansion card or function expansion unit performs part or all of the actual processing, and the functions of the above-described embodiments are realized by the processing.

  When the present invention is applied to the above storage medium, the storage medium stores program codes corresponding to the procedure described above.

It is a block diagram which shows the structure of the digital camera which implement | achieves the imaging device of this invention. It is a flowchart which shows the imaging | photography operation | movement by the digital camera of this embodiment. It is a figure explaining the face detection and histogram calculation display process 1 in S314 and S316 of FIG. It is a figure explaining the face detection and histogram calculation display process 2 in S314 and S316 of FIG. It is a figure explaining the face detection and histogram calculation display process 3 in S314 and S316 of FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Lens unit 2 Quick return mirror 3 Focusing screen 4 Penta prism 5 Focal plane shutter 6 Imaging element 7 Clamp / CDS
8 AGC
9 A / D conversion section 10 Video signal processing circuit 11 Liquid crystal drive circuit 12 Liquid crystal display section 13 Memory controller 14 Memory 15 External interface 16 Microcomputer 17 Power supply section 18 Operation member 19 Buffer memory 20A, 20B Release button 21 Liquid crystal drive circuit 22 External Liquid crystal display member 23 Liquid crystal display member 24 in the viewfinder AF sensor 25 AE sensor 26 Low pass filter

Claims (9)

Photographing means for photographing an image;
Subject detection means for detecting a specific subject from the captured image;
Histogram calculation means for calculating a histogram of pixel values of the captured image;
Display means for displaying the captured image and the histogram on the same screen,
The histogram calculating means calculates a histogram of an area occupied by the subject for each specific subject when there are a plurality of specific subjects in the captured image,
The display device displays the specific subject and a histogram corresponding to the specific subject in a distinguishable manner when displaying the captured image.   The imaging apparatus according to claim 1, wherein the subject detection unit detects a human face as the specific subject.   The imaging apparatus according to claim 1, wherein the display unit displays the histogram of the entire captured image and the histogram of a specific subject in the captured image so as to be distinguishable.   The imaging apparatus according to claim 1, wherein the display unit extracts and displays only a histogram corresponding to a specific subject from a histogram of the entire captured image.   The imaging apparatus according to claim 4, wherein the display unit normalizes and displays a vertical axis of a histogram corresponding to the extracted specific subject.   5. The image pickup apparatus according to claim 3, wherein the display unit displays a correspondence relationship between a specific subject in the captured image and a histogram of the subject so as to be identifiable.   It is possible to switch between a mode for displaying the histogram of the entire photographed image and the histogram for the specific subject in an identifiable manner and a mode for extracting and displaying only the histogram corresponding to the specific subject. The imaging device according to claim 3 or 4. Shooting means for shooting an image, subject detection means for detecting a specific subject from the shot image, histogram calculation means for calculating a histogram of the shot image, and display means for displaying the shot image and the histogram on the same screen And a method of controlling an imaging apparatus comprising:
When there are a plurality of specific subjects in the captured image, the histogram calculating means calculates, for each of the specific subjects, a histogram of an image of an area occupied by the subject;
And a step of displaying the specific subject and a histogram corresponding to the specific subject in a distinguishable manner when the display means displays the captured image. A processor of an imaging apparatus having imaging means for capturing an image and display means for displaying the captured image;
Subject detection means for detecting a specific subject from the captured image;
Function as a histogram calculation means for calculating a histogram of pixel values of the captured image;
The histogram calculating means calculates a histogram of an image of an area occupied by the subject for each specific subject when a plurality of specific subjects exist in the captured image;
The display means displays the photographed image and the histogram on the same screen, and displays the specific subject and the histogram corresponding to the specific subject in a distinguishable manner.

Images