JP4588627B2 - Image processing apparatus and image processing program - Google Patents

Description

  The present invention relates to an image processing apparatus and an image processing program having a function of creating a layout image in which a plurality of images are arranged.

  In recent years, electronic imaging devices such as digital cameras have become widespread. In addition, image viewers for viewing and viewing a large number of image files obtained with a digital camera on a personal computer monitor are on the market. An image viewer is software built into a personal computer that enables integrated operations such as image file list display, selection display, copying, deletion, image cropping, rotation, and resizing. .

Some software referred to as an image viewer as described above has a function of creating a layout image in which images are arranged based on a plurality of image data. In this layout image creation function, for example, as described in Patent Document 1, a person image included in a plurality of image data is extracted, and the size of the person image is set so that the face areas of the person images are substantially equal. One that adjusts the height and creates a layout image is known.
JP 2002-042116 A

  The layout function as described in Patent Document 1 is suitable for creating a name list image in which person images are arranged. However, what is required as a layout image is not only a name book image, but when creating a layout image such as a group photo of a graduation album, for example, an event such as an athletic meet, entrance ceremony, school excursion, etc. When creating a layout image in which a large image is arranged near the center and a plurality of photographs of each competition, representative person, travel destination, etc. are arranged around the image, the layout as described in Patent Document 1 above The function cannot be used. Therefore, since it is necessary to enlarge and reduce the image by manual input and to arrange the image by adjusting the position, it takes much time and effort.

  The present invention has been made in consideration of the above circumstances, and provides an image processing apparatus and an image processing program capable of adjusting the size of a plurality of images and creating a layout image by appropriately arranging the images. The purpose is to provide.

  To achieve the above object, in the image processing apparatus of the present invention, an image is selected from a plurality of image data, and the selected image is arranged to create a layout image. A face information detecting unit that extracts a face area of the main subject and detects face information including at least the face area of the main subject from the face area; and a face area of the main subject of each selected image based on the face information. Based on the main subject comparison means to be compared and the comparison result by the main subject comparison means, the selected image including the main subject having the smallest or largest face area is set as a central image, and the selected image excluding the central image is set as a peripheral image. And an image layout means for creating the layout image by adjusting the central image and the peripheral image to different sizes. And features. However, it is preferable that the face information detecting means includes that the face area of the selected image is 0 when the face area is not extracted from the image data of the selected image. In the face information detecting means, the face area of the main subject is obtained, but this face area may be an approximate value obtained from the width and length of the face area.

  The image processing apparatus according to claim 2, wherein an image is selected from a plurality of image data, and a layout area is created by arranging the selected images to generate a face area of a main subject from the image data of the selected image. A face information detecting means for detecting face information including at least a total face area of main subjects in the selected image from the face area, and comparing the total face area of each selected image based on the face information Main subject comparison means, and based on the comparison result by the main subject comparison means, the selected image having the smallest or largest face area sum as a central image, and the selected image excluding the central image is determined as a peripheral image, Image layout means for adjusting the center image and the peripheral image to different sizes to create the layout image is provided. However, it is preferable that the face information detection means includes that the face area total is 0 in the selected image when the face area is not extracted from the image data of the selected image.

  In an image processing apparatus that selects an image from a plurality of image data and arranges the selected images to create a layout image, the face area of a main subject is extracted from the image data of the selected image, and the selection is performed from the face area Face information detecting means for detecting face information including at least the number of faces of the main subject in the image, and main subject comparing means for comparing the number of faces of the main subject in each of the selected images based on the face information; Based on the comparison result by the main subject comparison means, the selected image having the largest or smallest number of faces is set as a central image, the selected image excluding the central image is determined as a peripheral image, and the central image and the peripheral image are determined. And image layout means for creating the layout image by adjusting the size to different sizes. However, it is preferable that the face information detection means include in the face information that the number of faces in the selected image is 0 when no face area is extracted from the image data of the selected image.

  The face information detecting means includes face position information in which the position of the face of the main subject in each selected image is detected in the face information, and the image layout means is based on the face position information, The layout image is preferably created by arranging the selected images so that the positions of the faces of the main subjects do not overlap.

Further, the face information detecting means includes the area center of the face area of the main subject in each selected image in the face information as face centroid position information , and the image layout means includes the face centroid position information. Based on this, it is preferable to create the layout image by arranging the images so that the distances between the positions of the center of gravity of each selected image are substantially equal.

  Furthermore, the image layout means enlarges the central image and adjusts the size of the peripheral image to be smaller than the central image, or the image layout means reduces the central image and the peripheral image as the central image. It is also effective in the present invention to adjust the size larger.

  The image processing program according to claim 8 is an image processing program for selecting an image from a plurality of image data and causing a computer to create a layout image in which the selected images are arranged. A face information detection process for extracting a face area of the main subject from the data and detecting face information including at least the face area of the main subject from the face area; and a face of the main subject of each selected image based on the face information Based on the main subject comparison process for comparing the area and the comparison result by the main subject comparison process, the selected image including the main subject having the smallest or largest face area is set as a central image, and the selected image excluding the central image is used as the selected image. The layout image is determined as a peripheral image, and the central image and the peripheral image are adjusted to different sizes to create the layout image. An out image generating process is characterized by causing the computer to perform. However, in the face information detection process, when the face area is not extracted from the image data of the selected image, it is preferable that the face information includes that the face area is 0 in the selected image.

  In an image processing program for selecting an image from a plurality of image data and causing a computer to create a layout image in which these selected images are arranged, the face area of the main subject is extracted from the image data of the selected image, and Face information detection processing for detecting face information including at least the total face area of the main subject from the face area, main subject comparison processing for comparing the face area sum of the selected images based on the face information, Based on the comparison result by the subject comparison means, the selected image having the smallest or largest face area total is set as a central image, the selected image excluding the central image is determined as a peripheral image, and the central image and the peripheral image are determined. And causing the computer to execute layout image creation processing for creating the layout image by adjusting to a different size. To. However, in the face information detection process, when a face area is not extracted from the image data of the selected image, it is preferable that the face information includes that the face area total is 0 in the selected image.

  In an image processing program for selecting an image from a plurality of image data and causing a computer to create a layout image in which these selected images are arranged, the face area of the main subject is extracted from the image data of the selected image, and A face information detection process for detecting face information including at least the number of faces of the main subject in the selected image from a face area, and a main information for comparing the number of faces of the main subject in the selected images based on the face information. Based on the comparison result of the subject comparison process and the main subject comparison process, the selected image having the largest or smallest number of faces is set as a central image, the selected image excluding the central image is determined as a peripheral image, and the center image is determined. Layout image creation processing for creating the layout image by adjusting the image and the peripheral image to different sizes. Characterized in that to execute the computer. However, in the face information detection process, when the face area is not extracted from the image data of the selected image, it is preferable that the face information includes that the number of faces is 0 in the selected image.

  In the face information detection process, the face information includes face position information obtained by detecting the position of the face of the main subject in each selected image. In the layout image creation process, based on the face position information. The layout image is preferably created by arranging the selected images so that the positions of the faces of the main subjects do not overlap.

Further, in the face information detection process, an area center of the face area of the main subject in each selected image is included in the face information as face centroid position information. In the layout image creation process, the face centroid position information Based on the above, it is preferable to create the layout image by arranging the images so that the distances between the center of gravity positions of the faces of the selected images are substantially equal.

  Furthermore, in the layout image creation process, the center image is enlarged and the size of the peripheral image is adjusted to be smaller than the center image. In the layout image creation process, the center image is reduced and the peripheral image It is also effective to adjust the size larger than the central image.

  According to the image processing program and the image processing apparatus of the present invention, face information detection is performed for extracting a face area of a main subject from image data of a selected image and detecting face information including at least the face area of the main subject from the face area. The main subject comparison process for comparing the face area of the main subject of each selected image based on the processing and the face information, and the main subject having the smallest face area based on the comparison result by the main subject comparison process A layout image creation process is performed in which the selected image is a central image, the selected image excluding the central image is determined as a peripheral image, and the central image and the peripheral image are adjusted to different sizes to generate the layout image. Therefore, a layout image can be created by adjusting the size of a plurality of images and appropriately arranging them.

  In the image processing device according to claim 2 and the image processing program according to claim 9, the face area sum of each selected image is compared, and the selected image having the smallest face area sum is used as a center image, and the center image is excluded. The selected image is determined as a peripheral image, and the layout image is created by adjusting the central image and the peripheral image to different sizes. Therefore, the plurality of images are adjusted in size and appropriately arranged. A layout image can be created.

  In the image processing device according to claim 3 and the image processing program according to claim 10, the number of faces of the main subject in each selected image is compared, and the selected image having the largest or smallest number of faces is used as a central image. Since the selected image excluding the central image is determined as a peripheral image and the central image and the peripheral image are adjusted to different sizes to create the layout image, a plurality of images are adjusted in size. A layout image can be created by performing an appropriate arrangement.

  The face information includes face position information obtained by detecting the face position of the main subject in each selected image, and the selected image is arranged so that the face positions of the main subject do not overlap based on the face position information. Since the layout image is created, a layout image in which an image is arranged at a more appropriate position can be obtained.

Furthermore, the center of the face area of the main subject in each selected image is included in the face information as face centroid position information, and based on the face centroid position information, the distance between the face centroid positions of each selected image is approximately Since the layout images are created by arranging images so as to be equal, it is possible to obtain a layout image in which images are arranged at more appropriate positions.

  In FIG. 1, a personal computer (hereinafter referred to as a PC) 2 as an image processing apparatus to which the present invention is applied is entirely controlled by a CPU 10. A memory 11, a monitor 12, an operation unit 13, and a communication I / F 15 are connected to the CPU 10.

  The memory 11 is composed of a semiconductor memory, a magnetic disk, or the like, and stores various programs and data necessary for starting up the PC 2, as well as an image processing program 16. The memory 11 also stores image data (still image data and moving image data) transmitted from the digital camera 17 via the communication I / F 15.

  The monitor 12 includes an LCD, a CRT, and the like, and displays the above-described image data and various information. The operation unit 13 includes a keyboard 14a and a mouse 14b. In response to the operation of the operation unit 13, the CPU 10 controls the operation of each unit of the PC 2. The communication I / F 15 transmits / receives data to / from an external device such as the digital camera 17 via a USB cable or the like.

  When the image processing program 16 is activated by the operation of the operation unit 13, processing functions such as a face information detection unit 21, a main subject comparison unit 22, and an image layout unit 23 are generated in the CPU 10 in addition to the browser control unit 19. The browser control unit 19 displays an image display browser 30 as a GUI (Graphical User Interface) as illustrated in FIG. 2 on the screen of the monitor 12.

  The image display browser 30 includes an explorer window 32a that assists in searching the folder 31, a thumbnail window 32b that displays thumbnail images 33 of image files in the folder 31, and a selected image window 32c that displays a selected image 34. A layout window 32d for displaying a layout image 35 created by a layout image creation process to be described later is provided. The selected image 34 is displayed in the selected image window 32c by moving the cursor 36 to the thumbnail image 33 and clicking the click button of the mouse 14b. The selected image 34 is displayed larger than the thumbnail image so that the contents of the image can be easily recognized. The cursor 36 is a pointer that moves in conjunction with the movement of the mouse 14b.

  The face information detection unit 21 extracts a face area of a person (main subject) in the selected image 34 and performs face information detection processing for detecting face information from the face area. For example, as shown in FIG. 3, the face information detection unit 21 detects both eyes 38a of the person 38 in the selected image 34 by matching with both eyes image data of a standard person set in advance. The face width W and the face length T are detected from the interval S between the eyes 38a detected by this matching, and a face region 39 (range surrounded by a dotted line) having the width W and the length T is extracted. .

When the selected image 34 to detect the width W of the face, for example, setting the width W _A of the eye separation S _A and the face of a standard person in advance. Accordingly, the width W of the face is obtained by W = (S / S _A ) × W _A from the ratio with the distance between both eyes S (the distance between both eyes detected by the above matching). Similarly, the vertical length T of the face can be obtained from the ratio between the standard eye distance S _A and the vertical length T _{A of the} face by setting the vertical distance T _A between the eyes. An approximate value of the face area of the person 38 can be obtained as face information from the face width W and the vertical length T. In addition, as the face information, the position of the person 38 is detected by obtaining the coordinates (x, y) of the center position 38b of both eyes 38a with the position of the upper left corner of the image as the origin O (0, 0), for example. The Note that the face region is not limited to extraction by matching the above-described binocular image data, and for example, a face image may be detected from the positional relationship between eyes and mouth, or the face outline may be detected, or Alternatively, the face area may be specified by detecting color information corresponding to the skin of the face. When face information is not extracted from the selected image 34, the fact that the face area is 0 is included in the face information and transmitted to the main subject comparison unit 21.

  The main subject comparison unit 21 compares the face areas of the main subjects of the selection images 34 based on the face information detected by the face information detection unit 21 and determines the selection image 34 having the smallest face area. Process. In this embodiment, when a face area is not extracted from the selected image 34, it is determined that the face area is 0, that is, the face area is the smallest.

  In the image layout unit 23, among the selected images 34, the selected image 34 including the main subject having the smallest face area is set as the central image 41 (see FIG. 5), and the selected image 34 excluding the central image 41 is the peripheral image 42 ( As shown in FIG. 5, a layout image 35 is created. The created layout image 35 is displayed in the layout window 32 d and the image data is temporarily stored in the memory 11.

  When the layout image 35 created by the image layout unit 23 is displayed in the layout window 32d, the operation unit 13 selects whether to save or delete. When the image is selected to be saved, the layout image is added to the layout image. The layout image data based on this is stored in the memory 11, and when deletion is selected, the layout image data is deleted and the image layout operation is performed again.

  Next, a processing procedure for creating a layout image by the image processing program 16 having the above configuration will be described with reference to the flowchart of FIG. First, when the user operates the operation unit 13 and the image processing program 16 is activated, a browser control unit 19, a face information detection unit 21, a main subject comparison unit 22, an image layout unit 23, and the like are generated in the CPU 10, and browser control is performed. The image display browser 30 shown in FIG. 2 is displayed on the screen of the monitor 12 by the unit 19. Further, when a plurality of thumbnail images 33 desired by the user are selected from a list of thumbnail images 33 displayed in large numbers in the thumbnail window 32b by a selection operation by the operation unit 13, the selected thumbnails are displayed in the selected image window 32c. A selection image 34 corresponding to the image 33 is displayed.

  The user sees the plurality of selection images 34 displayed in the selection image window 32c and confirms that the image is desired, and when the selection operation is completed, a layout image 35 is created based on these selection images 34. Perform the operation to start. When the creation of the layout image 35 is instructed, first, the face information detection unit 21 performs face information detection processing for each selected image 34. Next, the main subject comparison unit 22 compares the face area of the main subject of the selected image 34 based on the face information detected by the face information detection unit 21. When there is only one selected image 34 having the smallest face area based on the comparison result performed by the main subject comparison unit 22, the comparison result is output to the image layout unit 23. Further, when it is determined that there are two or more selection images 34 having the smallest face area based on the comparison result performed by the main subject comparison unit 22, the user selects and inputs one central image from these. Ask for. In this case, for example, as shown in FIG. 5A, a plurality of selection images 34a and 34b having the smallest face area are displayed in the layout window 32d, and a text prompting selection input is displayed. When one central image is selected by the selection operation by the operation unit 13, the selection result is output to the image layout unit 23. In the example shown in FIG. 5A, a case where no face area is extracted, that is, selection images 34a and 34b having a face area of 0 is determined to have the smallest face area.

  The image layout unit 23 has the smallest face area in the selected image 34 as shown in FIG. 5B from the comparison result performed by the main subject comparison unit 22 or the user's selection result based on the comparison result. The image other than the center image 41 is determined as the peripheral image 42 in the central image 41 and the selected image 34, and the image size is adjusted so that the central image 41 is large and the peripheral image 42 is smaller than the central image 41. Then, the layout image 35 is created by arranging the central image 41 at the center position of the whole and the peripheral image 42 around it. In the present embodiment, when the layout image 35 is created, an appropriate space is provided between the central image 41 and the peripheral image 42 so that the images do not overlap each other.

  Since the layout image 35 can be created in this way, for example, when creating a layout image such as a group photo of a graduation album, an image that symbolizes an event is large as the central image 41, and other images Is arranged as a small peripheral image 42, the size of the image is automatically adjusted, and it is possible to easily create a layout image arranged at an appropriate position, and without time and effort. Since a layout image can be created, the burden on the user can be reduced.

  In the first embodiment, the selected image with the smallest detected face area is used as the central image, and the other selected images are used as the peripheral images. However, the present invention is not limited to this, and the selected image with the largest face area is used as the central image. Other than that, the surrounding image may be determined and layout may be performed. Alternatively, a selected image that most closely approximates the intermediate value having the largest and smallest face area may be used as the central image.

  In the first embodiment, the face area of one main subject is detected as face information detected from the selected image 34. However, the present invention is not limited to this, and for example, as shown in FIG. As described above, when a plurality of main subjects 51 and 52 are arranged in the selected image 50, the face information detection unit 21 extracts the face areas 51a and 51b from these main subjects 51 and 52, respectively, and calculates the face area. The face area total information obtained by detecting and calculating the sum of the face areas (the sum of the face areas of the main subjects 51a and 51b) is included in the face information. In FIG. 6, the number of main subjects is two, but the present invention is not limited to this, and the total face area may be detected in the same manner even when there are three or more. If no face area is extracted, the fact that the sum of the face areas is 0 is included in the face information as in the above embodiment. The main subject comparison unit 22 determines the selected image 34 having the smallest face area by comparing the face area sums of the selected images 34 based on the face area total information, and the image layout unit 23 determines the face. A central image and a peripheral image are determined based on the comparison result of the total area. After determining the center image and the peripheral image, the layout image 35 can be created in the same manner as in the above embodiment. When determining the central image and the peripheral image based on the comparison result of the face area sum in this way, the layout image is created with the selected image having the maximum face area sum as the central image and the other images as the peripheral images. Alternatively, the selected image that approximates the maximum intermediate value between the maximum and minimum face area may be determined as the central image.

  In the first embodiment, the face area of the main subject is detected as the face information, and the image layout is performed based on the comparison result of the face area. However, the present invention is not limited to this. In the second embodiment of the present invention described below, the number of faces is detected as face information, and an image is laid out based on the face number information. The configuration of the image processing apparatus to which the second embodiment is applied is the same as that of the first embodiment, and the image processing program to which the present embodiment is applied will be described with reference to the flowchart shown in FIG. As in the above embodiment, after starting the program, the user selects an image desired by the user from a list display of images. An example of the selection images 61 to 65 before layout is shown in FIG. Then, the face information detection unit 21 detects face regions 61a, 62a, 63a-63c, 64a, 65a, 65b in the selected images 61-65, respectively, and determines the number of face images in the selected images 61-65, respectively. The counted face number information is included in the face information and sent to the main subject comparison unit 22. The main subject comparison unit 22 compares the number of faces, and the image layout unit 23 selects the image with the largest number of faces (selected image 63 in the example shown in FIG. 8A) based on the comparison result as the central image. 66, an image other than the central image 66 is determined as the peripheral image 67, and a layout image 68 is created.

  In this way, an image with a large number of faces is arranged large at the center, and an image with a small number of faces is arranged in the periphery with a small size adjustment. Therefore, when creating a layout image such as a family photo, the group image of the family is placed at the center, and individual images of the family are placed around it. A layout image can be obtained. If there are selection images having the same number of faces, the user may perform selection input and determine one of the selection images as the central image, as in the first embodiment. Further, when determining the central image and the peripheral image based on the face number information, as described above, the selected image with the smallest number of faces is not limited to the selected image with the largest number of faces. The selected image may be determined as the peripheral image, and the selected image that most closely approximates the intermediate value having the largest and smallest number of faces may be used as the central image.

  In the first and second embodiments, the image size is adjusted and laid out so that the images do not overlap with each other. However, the present invention is not limited to this, and the selected images are arranged to overlap each other. A third embodiment of the present invention in which the image size is further increased and the gap between the images is reduced will be described below. The configuration of the image processing apparatus to which the third embodiment is applied is the same as that of the first embodiment, and the image processing program to which the present embodiment is applied will be described with reference to the flowchart shown in FIG. As in the first embodiment, after starting the program, the user selects a desired image from the image list display, and the face information detection unit 21 detects the face information from these selected images, and the center is based on the face information. The image and the surrounding image are determined and the layout is started. An example of the selected image before layout is shown in FIG. In the example shown in the present embodiment, the selection images 71 to 74 are selected, and these selection images 71 to 74 are arranged in a layout frame having a size indicated by reference numeral 75. Simply arranging 74 in the layout frame 75 does not allow all the selected images 71 to 74 to enter. In the image layout unit 23, based on the face position information detected by the face information detection unit 21, the layout frame 75 is arranged so that the face areas 71 a, 72 a, 73 a, 74 a of the main subjects of the selected images 71 to 74 do not overlap. A layout image 76 shown in FIG. When the layout image 76 is created, portions other than the face areas 71a, 72a, 73a, and 74a may be arranged so as to overlap each other. This makes it possible to increase the size of the individual selection images 71 to 74 arranged in the layout frame 75 and to create a layout image 76 in which the selection images are arranged at appropriate positions. .

Furthermore, in the first to third embodiments, the selected images are arranged regardless of the relative positions of the main subjects. However, the present invention is not limited to this, and the book described below. In the fourth embodiment of the invention, images are arranged with good balance in consideration of the relative positions of main subjects. The configuration of the image processing apparatus to which the fourth embodiment is applied is the same as that of the first embodiment. An image processing program to which the present embodiment is applied will be described with reference to the flowchart shown in FIG. As in the above embodiment, after starting the program, the user selects a desired image from the image list display. Then, the face information detection unit 21 detects the center of gravity of the face of the main subject (face center of gravity position information) in the selected image together with the information such as the face area described above, and detects the main subject comparison unit 22 and Face information is sent to the image layout unit 23. FIG. 12A shows selection images 81 to 83 before layout. In addition, when calculating | requiring a gravity center position in this embodiment, the area center of face area 81a, 82a-82c, 83a of each selection image 81-83 is calculated, for example. For the selected images 81 and 83 having only one main subject, the area centers of the face regions 81a and 83a are the center-of-gravity positions G ₁ and G ₃ , and for the selected image 82 having a plurality of main subjects, and further calculated their center value from each of the centroid of the face area 82a~82c is gravity center position G _2. The main subject comparison unit 22 to which the face information including the face centroid position information is sent performs comparison based on the face information, and based on the comparison result, the image layout unit 23 determines the main subject based on the face centroid position information. Determine the relative position of each other. That is, in the image layout unit 23, the layout image 85 is created by arranging so that the distance L between the face centroid positions G ₁ , G ₂ , G ₃ of the main subject between the selected images 81 to 83 is substantially equal. (See FIG. 12B). Thereby, it is possible to obtain a layout image 85 in which the main subjects are balanced.

  In the above embodiment, the selected image is displayed in the selected image window 32c, and the layout image is displayed in the layout window 32d. However, the present invention is not limited to this. For example, a plurality of selected images are displayed. It is also possible to display in one window and then switch the display to this layout image 35 when the creation of the layout image 35 is completed.

  In the above embodiment, the cursor 36 is moved by the mouse 14b to perform the selection setting. However, the present invention is not limited to this, and instead of the mouse 14b, a cursor key of the keyboard 14a or an unillustrated An input device such as a tablet can be used.

  In the above-described embodiment, the present invention is applied to a personal computer. However, the present invention is not limited to this, and a digital still camera, a digital video camera, a photo storage, a PDA, a mobile phone, and the like can acquire images and perform image processing. The present invention can be applied to various electronic devices including an image processing apparatus that performs the above.

It is a block diagram which shows the structure of the personal computer to which this invention is applied. It is a figure which shows the image display browser displayed on the screen of a monitor. It is a figure which shows an example of the image from which the face area | region was extracted. It is a flowchart which shows the process sequence of an image processing program. It is a figure which shows an example of the screen display when a layout image is produced. It is a figure which shows an example of the image from which multiple face area | regions were extracted. It is a flowchart which shows the process sequence of the image processing program in 2nd Embodiment of this invention. It is explanatory drawing which shows the selection image and layout image before a layout in 2nd Embodiment of this invention. It is a flowchart which shows the process sequence of the image processing program in 3rd Embodiment of this invention. It is explanatory drawing which shows the selection image and layout image before a layout in 3rd Embodiment of this invention. It is a flowchart which shows the process sequence of the image processing program in 3rd Embodiment of this invention. It is explanatory drawing which shows the selection image and layout image before a layout in 3rd Embodiment of this invention.

Explanation of symbols

2 Personal computer 10 CPU
DESCRIPTION OF SYMBOLS 12 Monitor 13 Operation part 14a Keyboard 14b Mouse 16 Image processing program 21 Face information detection part 22 Main subject comparison part 23 Image layout part

Claims (14)

In an image processing apparatus that selects an image from a plurality of image data and arranges these selected images to create a layout image,
Face information detection means for extracting a face area of the main subject from the image data of the selected image and detecting face information including at least the face area of the main subject from the face area; and each selected image based on the face information Based on the comparison result of the main subject comparing means and the main subject comparing means, the selected image including the main subject having the smallest or largest face area is set as a central image, and the central image is defined as a central image. An image processing apparatus comprising: an image layout unit that determines the selected image to be excluded as a peripheral image, adjusts the central image and the peripheral image to different sizes, and creates the layout image. In an image processing apparatus that selects an image from a plurality of image data and arranges these selected images to create a layout image,
A face information detecting unit that extracts a face area of a main subject from the image data of the selected image and detects face information including at least a total sum of face areas of the main subject in the selected image from the face area; Based on the comparison result by the main subject comparison means for comparing the face area sum of each selected image based on the selected subject image, the selected image having the minimum or maximum face area sum as a central image, and this central image An image processing apparatus comprising: an image layout unit that determines the selected image as a peripheral image, adjusts the central image and the peripheral image to different sizes, and creates the layout image. In an image processing apparatus that selects an image from a plurality of image data and arranges these selected images to create a layout image,
Based on the face information, face information detection means for extracting face information of the main subject from the image data of the selected image and detecting face information including at least the number of faces of the main subject in the selected image from the face region. Based on the comparison result by the main subject comparison means, the main subject comparison means for comparing the number of faces of the main subject in each selected image, the selected image having the largest or smallest number of faces is used as a central image, Image processing comprising: an image layout unit that determines the selected image excluding the central image as a peripheral image, adjusts the central image and the peripheral image to different sizes, and creates the layout image apparatus.   The face information detecting means includes face position information in which the position of the face of the main subject in each selected image is detected in the face information, and the image layout means is based on the face position information. 4. The image processing apparatus according to claim 1, wherein the layout image is created by arranging the selected images so that the positions of the faces of the two do not overlap. The face information detecting means includes the area center of the face area of the main subject in each selected image as face centroid position information , and the image layout means is based on the face centroid position information. 5. The image processing apparatus according to claim 1, wherein the layout image is created by arranging images so that distances between positions of the center of gravity of each selected image are substantially equal.   6. The image processing apparatus according to claim 1, wherein the image layout unit adjusts the size of the central image to be smaller and the peripheral image to be smaller than the central image.   6. The image processing apparatus according to claim 1, wherein the image layout unit adjusts the size of the peripheral image to be smaller and the peripheral image to be larger than the central image. In an image processing program for selecting an image from a plurality of image data and causing a computer to create a layout image in which these selected images are arranged,
A face information detection process for extracting a face area of the main subject from the image data of the selected image and detecting face information including at least a face area of the main subject from the face area; and each selected image based on the face information Based on the main subject comparison process for comparing the face area of the main subject and the comparison result of the main subject comparison process, the selected image including the main subject with the smallest or largest face area is set as a central image, and the central image is Image processing characterized in that the selected image to be excluded is determined as a peripheral image, and the computer executes layout image generation processing for adjusting the central image and the peripheral image to different sizes to generate the layout image program. In an image processing program for selecting an image from a plurality of image data and causing a computer to create a layout image in which these selected images are arranged,
A face information detection process for extracting a face area of a main subject from image data of the selected image and detecting face information including at least a total face area of the main subject from the face area; Based on the main subject comparison process for comparing the face area sum of the selected image and the comparison result by the main subject comparing means, the selected image having the smallest or largest face area sum as a central image, and the selection excluding the central image An image processing program for determining an image as a peripheral image and causing the computer to execute a layout image generation process for generating the layout image by adjusting the central image and the peripheral image to different sizes. In an image processing program for selecting an image from a plurality of image data and causing a computer to create a layout image in which these selected images are arranged,
Based on the face information, face information detection processing for extracting face information of the main subject from the image data of the selected image and detecting face information including at least the number of faces of the main subject in the selected image from the face region. Based on the main subject comparison process for comparing the number of faces of the main subject in each selected image and the comparison result by the main subject comparison process, the selected image having the largest or smallest number of faces is used as a central image, The selected image excluding the center image is determined as a peripheral image, and the computer is caused to execute layout image generation processing for generating the layout image by adjusting the central image and the peripheral image to different sizes. An image processing program.   In the face information detection process, face position information that detects the position of the face of the main subject in each selected image is included in the face information, and in the layout image creation process, based on the face position information 11. The image processing program according to claim 8, wherein the layout image is created by arranging the selected images so that the positions of the faces of the subject do not overlap. In the face information detection process, the area center of the face area of the main subject in each selected image is included in the face information as face centroid position information , and in the layout image creation process, based on the face centroid position information The image processing program according to any one of claims 8 to 11, wherein the layout image is created by arranging images so that the distances between the positions of the center of gravity of each selected image are substantially equal.   The image processing program according to any one of claims 8 to 12, wherein, in the layout image creation processing, the center image is enlarged and a size of the peripheral image is adjusted to be smaller than the center image.   The image processing program according to any one of claims 8 to 12, wherein, in the layout image creation processing, the center image is made smaller and the size of the peripheral image is made larger than the center image.

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