WO2018095059A1 - Procédé et dispositif de traitement d'images - Google Patents

Procédé et dispositif de traitement d'images Download PDF

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Publication number
WO2018095059A1
WO2018095059A1 PCT/CN2017/093570 CN2017093570W WO2018095059A1 WO 2018095059 A1 WO2018095059 A1 WO 2018095059A1 CN 2017093570 W CN2017093570 W CN 2017093570W WO 2018095059 A1 WO2018095059 A1 WO 2018095059A1
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WO
WIPO (PCT)
Prior art keywords
image
area
processed
feature
reminder
Prior art date
Application number
PCT/CN2017/093570
Other languages
English (en)
Chinese (zh)
Inventor
张晓亮
刘辉
冯磊
吴宏超
孙卫山
Original Assignee
中兴通讯股份有限公司
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Publication date
Application filed by 中兴通讯股份有限公司 filed Critical 中兴通讯股份有限公司
Publication of WO2018095059A1 publication Critical patent/WO2018095059A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/61—Control of cameras or camera modules based on recognised objects
    • H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174—Facial expression recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80—Camera processing pipelines; Components thereof

Definitions

  • the present disclosure relates to the field of Internet technologies, for example, to an image processing method and apparatus.
  • the present disclosure provides an image processing method and apparatus to solve the problem of low user experience when photographing in the related art.
  • This embodiment provides an image processing method, which may include:
  • determining whether there are feature areas on the to-be-processed image that meet the preset reminder rule including:
  • determining, by one of the plurality of target areas, whether there is a feature area that satisfies the preset reminder rule includes: performing the following operations one by one of the plurality of target areas:
  • the image to be processed is a preview image when the character is photographed.
  • the target area comprises at least one of: a belly, a shoulder, a mouth, an eye, a neck, and a leg.
  • generating the reminder information corresponding to the feature area includes: generating a reminder box corresponding to the feature area, wherein the reminder box is disposed at a location range where the feature area is located.
  • the method further includes: setting the alert frame to a blinking state.
  • the method further includes: performing a reminder by using at least one of a voice mode and a text mode.
  • the method before acquiring the image to be processed, the method further includes: buffering the captured image in a storage area; and obtaining the image to be processed includes: reading the preview image from the storage area, and using the preview image As the image to be processed.
  • the embodiment further provides an image processing apparatus, which may include:
  • a determining module configured to determine whether there is a feature area on the image to be processed that meets a preset reminder rule
  • And generating a module configured to generate reminder information corresponding to the feature area when the feature area is present on the image to be processed.
  • the determining module includes:
  • An identification unit configured to identify a plurality of target regions from the image to be processed
  • the determining unit is configured to perform the following operations on the plurality of target areas one by one: acquiring a pre-stored standard feature shape image corresponding to the current target area; and the current area and the standard feature form image Comparing, obtaining a comparison error; and when the error is greater than a preset threshold, determining that the current target area is the feature area.
  • the generating module is configured to generate a reminder box corresponding to the feature area, wherein the reminder box is disposed at a location range where the feature area is located.
  • the image processing apparatus further includes: a storage module, configured to cache the captured preview image in a storage area before acquiring the image to be processed; and the acquiring module is configured to read from the storage area The preview image is used as the image to be processed.
  • the embodiment further provides a computer readable storage medium storing computer executable instructions for performing any of the above methods.
  • the embodiment also provides an electronic device including one or more processors, a memory, and one or more programs, the one or more programs being stored in the memory when executed by one or more processors When performing any of the above methods.
  • the embodiment further provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer Having the computer perform any of the methods described above.
  • FIG. 1 is a flow chart 1 of an image processing method in this embodiment
  • Figure 2a is a block diagram 1 of the structure of the image processing apparatus in this embodiment
  • Figure 2b is a block diagram 2 of the structure of the image processing apparatus in this embodiment.
  • Figure 3 is a block diagram 3 of the structure of the image processing apparatus in this embodiment.
  • Figure 4 is a schematic view showing the identification of beer belly in the embodiment
  • FIG. 5 is a second flowchart of the image processing method in this embodiment.
  • FIG. 6 is a schematic structural diagram of an electronic device in the embodiment.
  • This embodiment can find a relatively insufficient place in the photo during the photo preview to remind the person who takes the photo, thereby improving the satisfaction of taking the photo.
  • FIG. 1 is a flowchart 1 of the image processing method in the embodiment. As shown in FIG. 1 , the method may include the following steps:
  • step 110 an image to be processed is acquired.
  • the image to be processed may be an image that needs to be recognized, such as a preview image when photographing.
  • the storage and presence of the image to be processed can be determined according to actual needs.
  • the captured preview image may be cached in the storage area; the captured preview image is read from the storage area, and the read preview image is taken as the image to be processed.
  • step 120 it is determined whether there is a feature area on the image to be processed that satisfies a preset reminder rule.
  • the image to be processed may be subjected to image recognition processing, for example, some preset region positions in the image to be processed may be determined. If the image to be processed is a preview image when the person takes a picture, it can be determined whether there is a beer belly in the preview image, that is, the position of the belly in the preview image is first recognized, and then it is determined whether the position area of the belly in the preview image conforms to the preset. The position area of the beer belly, if it is met, determines that the area corresponding to the belly in the preview image is the area to be reminded, that is, the above characteristic area.
  • a plurality of target areas may be identified from the to-be-processed image, and whether the plurality of target areas have the feature areas satisfying the preset reminding rule are determined one by one.
  • one or more of the feature regions may exist in the plurality of target regions.
  • whether the feature area that meets the preset reminder rule is determined by the plurality of target areas may be determined one by one according to the following manner:
  • the current region is compared with the standard feature image to obtain a contrast error.
  • the image to be processed may be a preview image when the person takes a picture.
  • the target area may include at least one of the following: a belly, a shoulder, a mouth, an eye, a neck, and a leg, but is not limited thereto.
  • step 130 if there is the feature area on the image to be processed, the reminder information corresponding to the feature area is generated.
  • generating the reminder information corresponding to the feature area may include: generating a reminder box corresponding to the feature area, where the reminder box is disposed at a location range where the feature area is located. It is also possible to set the reminder box to a blinking state after generating the reminder box.
  • the user may be reminded by at least one of a voice mode and a text mode.
  • the voice prompt s the user to have a poor physical appearance, such as "please take a stomach", etc., and can also display text prompt information in the interface of the preview image, such as displaying "beer belly” and “high and low shoulder” and other text prompt information.
  • An image processing apparatus is also provided in this embodiment.
  • the implementation of the image processing apparatus may refer to the implementation of the image processing method described above, and details are not described herein again.
  • the apparatus may include an acquisition module 201, a determination module 202, and a generation module 203.
  • the obtaining module 201 can be configured to acquire an image to be processed.
  • the determining module 202 may be configured to determine whether there is a feature area on the image to be processed that meets a preset reminder rule.
  • the generating module 203 may be configured to generate reminder information corresponding to the feature area when the feature area is present on the image to be processed.
  • the determining module 202 may include: an identifying unit 2021 configured to identify a plurality of target regions from the to-be-processed image; and a determining unit 2022 configured to determine the plurality of target regions one by one Whether there is a feature area that satisfies the preset reminder rule.
  • the determining unit 2022 is configured to perform the following operations on the plurality of target areas one by one: acquiring a pre-stored standard feature morphogram corresponding to the current target area; performing the current area and the standard feature morphological image In contrast, a comparison error is obtained; when the error is greater than a preset threshold, it is determined that the current target area is the feature area.
  • the generating module 203 is configured to generate a reminder box corresponding to the feature area, wherein the reminder box is disposed at a location range where the feature area is located.
  • the image processing apparatus may further include: a storage module 204 configured to cache the captured preview image in a storage area before acquiring the image to be processed; the obtaining module 201 is configured to The preview image is read from the storage area, and the preview image is used as the image to be processed.
  • the image recognition method and the device in the embodiment are further applied to other image processing scenarios.
  • the image recognition method provided in this embodiment can identify shortcomings such as poor appearance of a person in a photo when photographing a character, for example, beer belly, cold face, hunchback and high and low shoulders, etc., can remind the photographer to improve these when the photo is previewed. Problems that effectively improve the user experience.
  • some implementations use smile recognition or other gesture recognition to take pictures. That is, the purpose of these feature recognition is to determine whether the preset photo conditions are currently being met, so that the pictures can be taken automatically, but these methods cannot be performed. The user's photographing is guided as a whole and the defects of the photographed person at the time of photographing are not reminded.
  • some human body feature recognition comparison rules may be preset.
  • the preview photo obtained by the photograph is identified according to a preset comparison rule to determine whether there is a place in the current photo that needs to be reminded of the photographed person. That is, it is determined whether the physical appearance of the person being photographed needs to be adjusted in order to obtain a photo with better effect and improve the user experience.
  • an image processing apparatus which may include: a central processing unit 101, a photographing module 102, a physical feature recognition module 103, and a reminder module 104. And a display module 105, wherein
  • the photographing module 102 may include: a camera, an image processing module, a storage area, and the like. After the camera captures the image before the lens, the image is processed by the image processing module and displayed on the display screen of the display module 105, and the collected image is cached in the storage. region.
  • the physical feature recognition module 103 may be configured to: in the preview state, extract a preview image of the cache from the storage area, identify the person information in the image, and extract feature information of the character for analysis, wherein the feature information of the character may include at least the following One: "Beer belly”, “pouting”, “different shoulder height” and “humpback” and other physical features, but not limited to this, analyze whether these feature information belongs to the characteristics that need to be adjusted, when determining that the information needs to be adjusted At the same time, the reminder module 104 is activated.
  • the reminding module 104 can display the preset reminder mark in the display area of the corresponding position after the human object feature is recognized in the preview state, for example, display a red dotted frame, and set the dotted frame to a blinking state.
  • Reminders can also include, but are not limited to, text reminders and voice reminders.
  • the display module 105 can display the photo preview image and the reminder information of the reminder module 104.
  • an image processing method is further provided in this embodiment, which may include the following steps:
  • the physical feature recognition module recognizes a feature to be reminded that needs to be reminded of the user in the appearance of the object. And start the reminder module.
  • the reminding module displays a red dotted frame around the position of the feature to be reminded according to the feature of the character, and flashes a reminder.
  • the body shape recognition module identifies the body part that needs to be reminded. Taking the belly as an example, the recognition module recognizes a closed area of the area of the belly in the picture to be recognized, taking the upper left corner of the picture as the coordinate origin (0, 0) and the right direction as the x direction. , the downward direction is the y direction, and the position of the minimum value of the x coordinate of all the pixel points on the edge of the closed area is generated by a dotted line parallel to the y axis, corresponding to the leftmost side of the dotted line frame, and is generated at the position where the maximum value of the x coordinate is located.
  • the dotted line parallel to the y-axis corresponds to the rightmost line of the dotted line frame, and the position of the minimum value of the y coordinate of all the pixel points on the edge of the closed area generates a dotted line parallel to the x-axis, corresponding to the uppermost side of the dotted line frame, at the y coordinate
  • the position where the maximum value is located generates a broken line parallel to the x-axis, corresponding to the lowermost side of the dotted line frame, and the generated four lines intersect to form a rectangular frame as shown in FIG. 4;
  • the display module 105 displays the image acquired and processed by the camera in the preview state, and the reminder module 104 generates a reminder graphic or data.
  • 401 represents a person image collected in a preview state of the camera
  • 402 represents the identified "beer belly”.
  • ", 403 indicates the reminder wireframe.
  • FIG. 5 is a second flowchart of the image processing method in the embodiment. As shown in FIG. 5, the method may include the following steps:
  • step 510 after the camera module is activated, the physical feature recognition module is activated.
  • step 520 the physical feature recognition module recognizes the feature to be reminded that needs to be reminded of the user in the appearance of the object, and activates the reminder module.
  • the physical feature module can pre-store a plurality of feature location areas, for example, may include: correct or beautiful physical features of the face, shoulders, back, abdomen and legs, etc., and adjusting these physical features can better Take a photo, when the physical character recognition module recognizes the physical appearance of these locations When there are features to be reminded in the levy, such as beer belly, etc., the reminder module is activated.
  • the reminding module displays the position and the area of the feature to be reminded according to the physical feature recognition module, displays a red dotted frame around the position of the feature to be reminded, and flashes a reminder.
  • the method for identifying "beer belly” may include the following steps:
  • the physical feature recognition module extracts the cached image.
  • the human body features are identified, for example, the position of the human head, the stomach and the legs are recognized, the edge of the tummy region is recognized in the tummy region, the condition of the edge is judged to be a striped reference, and the striped reference is folded by the clothes.
  • the similarity threshold may be set, and when the similarity value obtained after the similarity comparison reaches the preset similarity threshold, it is determined as “beer belly”.
  • the method of identifying the "mouth” can include the following steps:
  • the physical feature recognition module extracts the cached image and recognizes the facial features, for example, identifying the positions of the human eye, the nose, and the mouth.
  • a horizontal straight line is drawn at the position of the upper and lower edges of both eyes, and the horizontal straight line is drawn on the left and right sides of the nose and both eyes.
  • the identification method of "different shoulder height” may include the following steps:
  • the physical feature recognition module extracts the cached image, recognizes the head and the upper body, and takes the central positions of the two to form a straight line.
  • the "humpback" identification method may include the following steps:
  • the physical feature recognition module extracts the cached image, identifying the head and upper body, and the neck.
  • the embodiment further provides a computer readable storage medium storing computer executable instructions for performing the above method.
  • FIG. 6 is a schematic diagram showing the hardware structure of an electronic device according to the embodiment. As shown in FIG. 6, the electronic device may include: one or more processors 610 and a memory 620. One processor 610 is taken as an example in FIG.
  • the electronic device may further include: an input device 630 and an output device 640.
  • the processor 610, the memory 620, the input device 630, and the output device 640 in the electronic device may be connected by a bus or other means, and the connection through the bus is taken as an example in FIG.
  • the input device 630 can receive input numeric or character information
  • the output device 640 can include a display device such as a display screen.
  • the memory 620 is a computer readable storage medium that can be used to store software programs, computer executable programs, and modules.
  • the processor 610 performs various functional applications and data processing by executing software programs, instructions, and modules stored in the memory 620 to implement any of the above embodiments.
  • the memory 620 may include a storage program area and an storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store data created according to usage of the electronic device, and the like.
  • the memory may include volatile memory such as random access memory (RAM), and may also include non-volatile memory such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device.
  • RAM random access memory
  • Memory 620 can be a non-transitory computer storage medium or a transitory computer storage medium.
  • the non-transitory computer storage medium such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device.
  • the memory 620 can optionally include a memory remotely disposed relative to the processor 610, which can be connected to the electronic device through a network.
  • the above network may include the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
  • Input device 630 can be used to receive input digital or character information and to generate key signal inputs related to user settings and function controls of the electronic device.
  • the output device 640 can include a display device such as a display screen.
  • the electronic device of the present embodiment may further include a communication device 650 that transmits and/or receives information over a communication network.
  • All or part of the processes provided by the foregoing embodiments may be implemented by a computer program executing related hardware, and the program may be stored in a non-transitory computer readable storage medium, and when executed, the program may be executed.
  • the invention discloses an image processing method and device, which can remind a position of a poor effect in an image, so that the user can timely adjust the position and effectively improve the user experience.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
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  • Ophthalmology & Optometry (AREA)
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Abstract

La présente invention concerne un procédé et un dispositif de traitement d'images. Le procédé consiste : à acquérir une image à traiter ; à déterminer si l'image à traiter présente une région caractéristique satisfaisant une règle de notification prédéfinie ; et si l'image à traiter présente la région caractéristique, à générer des informations de notification correspondant à la région caractéristique.
PCT/CN2017/093570 2016-11-23 2017-07-19 Procédé et dispositif de traitement d'images WO2018095059A1 (fr)

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CN201611035636.5A CN108093165A (zh) 2016-11-23 2016-11-23 一种图像处理方法和装置
CN201611035636.5 2016-11-23

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