WO2019090502A1 - Procédé et système de capture d'images basés sur un terminal intelligent - Google Patents

Procédé et système de capture d'images basés sur un terminal intelligent Download PDF

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Publication number
WO2019090502A1
WO2019090502A1 PCT/CN2017/109874 CN2017109874W WO2019090502A1 WO 2019090502 A1 WO2019090502 A1 WO 2019090502A1 CN 2017109874 W CN2017109874 W CN 2017109874W WO 2019090502 A1 WO2019090502 A1 WO 2019090502A1
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Prior art keywords
image
shooting
template
captured image
unit
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PCT/CN2017/109874
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English (en)
Chinese (zh)
Inventor
詹昌松
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Shenzhen Transsion Communication Co Ltd
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Shenzhen Transsion Communication Co Ltd
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Priority to CN201780096647.0A priority Critical patent/CN111316628A/zh
Priority to PCT/CN2017/109874 priority patent/WO2019090502A1/fr
Publication of WO2019090502A1 publication Critical patent/WO2019090502A1/fr
Anticipated expiration legal-status Critical
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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

Definitions

  • the present invention relates to the field of intelligent terminals, and in particular, to an image capturing method based on a smart terminal and an image capturing system.
  • smart terminals such as smart phones and tablet computers have been widely used, and smart terminals have become an indispensable necessity in the life of users. Due to the convenience of smart terminals and the improvement of the pixels of smart terminal cameras, more and more users are more inclined to take pictures through smart terminals, and enjoy and record the beauty of life at all times, especially for female users, using smart phones. When smart terminals take photos or take selfies more and more, to some extent, smart terminals have gradually replaced cameras as the mainstream tools for current photography.
  • the functions provided by the smart terminal for the user to take photos are limited to the image processing technology at the later stage of the photo, so as to improve the visual quality of the photo, such as brightness, color conversion, enhancement, suppression of certain components, geometric transformation of the image, etc.
  • image beautification To improve the quality of the image, to color, map, synthesize, shading, tint and chroma modification, add special effects, edit, repair and other methods, as well as the so-called portrait beauty, Various methods such as image beautification, among which methods of portrait treatment, such as whitening, microdermabrasion, face-lifting, slimming, enlargement, elongation, reshaping, etc., methods of image beautification, such as editing, enhancement, various Filters, mosaics, borders, stickers, text, background blur, etc., allow users to choose different beauty or filter effects after taking a photo to achieve different shooting effects.
  • methods of portrait treatment such as whitening, microdermabrasion, face-lifting, slimming, enlargement, elongation, reshaping, etc.
  • image beautification such as editing, enhancement, various Filters, mosaics, borders, stickers, text, background blur, etc.
  • the present invention provides an image capturing method based on a smart terminal and an image capturing system, wherein the image capturing method includes the steps of: preset a shooting template; calling a camera application of the smart terminal to acquire a captured image; and extracting the captured image
  • the subject and the shooting background; the subject and the background of the captured image are compared with the subject of the shooting template and the shooting background; and the user is prompted to perform the shooting adjustment according to the comparison result between the captured image and the shooting template.
  • the technical solution of the present invention in the process of taking a photo or self-timer by the user, recommends a better shooting angle or shooting skill for the user, and is convenient for the user to adjust, and the perfect photo can be obtained without post-processing.
  • an object of the present invention is to provide an image capturing method and an image capturing system based on a smart terminal.
  • an image capturing method based on a smart terminal which includes the following steps:
  • the user is prompted to perform shooting adjustment.
  • the step of preset a shooting template in the smart terminal comprises:
  • the shooting template is downloaded from the local and/or cloud database.
  • the step of calling the camera application of the smart terminal to acquire a captured image comprises:
  • the step of prompting the user to perform the shooting adjustment comprises:
  • the user is prompted to perform shooting adjustment in a dotted outline and/or a text manner.
  • the image capturing method further comprises:
  • the user is prompted to take the captured image.
  • an image capture system based on a smart terminal.
  • the image capture system includes: a template setting module, an image acquisition module, an element extraction module, an image comparison module, and an image prompting module;
  • the template setting module presets a shooting template in the smart terminal
  • the image acquisition module calls a camera application of the smart terminal to acquire a captured image
  • the element extraction module is communicably connected to the image acquisition module, and extracts a photographic subject and a shooting background of the captured image;
  • the image comparison module is communicably connected to the template setting module and the element extraction module, and compares a shooting target and a shooting background of the captured image with a shooting target of the shooting template and a shooting background;
  • the image prompting module is communicably connected to the image matching module, and prompts the user to perform shooting adjustment according to a comparison result between the captured image and the shooting template.
  • the template setting module includes: a database connection unit and a template download unit;
  • the database connection unit is connected to a local and/or cloud database
  • the template download unit is communicably connected to the database connection unit, and downloads the shooting template from the local and/or cloud database.
  • the image acquisition module includes: a camera activation unit and an image acquisition unit;
  • the camera activation unit invokes a camera application of the smart terminal to open a camera of the smart terminal;
  • the image acquisition unit is communicably connected to the camera activation unit to acquire a captured image captured by the camera viewfinder.
  • the image prompting module prompts the user to perform shooting adjustment according to a comparison result of the captured image and the shooting template in a dotted outline and/or a text manner.
  • the image capturing system further includes an image capturing module
  • the image capturing module includes: an error setting unit, an error detecting unit, an error comparing unit, and an image capturing unit;
  • the error setting unit sets an error threshold in the smart terminal
  • the error detecting unit detects an error value of the captured image and the shooting template when performing shooting adjustment
  • the error comparison unit is communicably connected to the error setting unit and the error detecting unit, and compares the shooting An error value of the image and the shooting template and the error threshold;
  • the image capturing unit is in communication with the error comparison unit, and prompts the user to capture the captured image when the error value of the captured image and the shooting template is less than the error threshold.
  • the image capturing method and the image capturing system provided by the present invention wherein the image capturing method comprises the steps of: preset a shooting template; calling a camera application of the smart terminal to acquire a captured image; extracting a captured image of the captured image and shooting background The subject and the shooting background of the captured image are compared with the shooting target and the shooting background; and the user is prompted to perform shooting adjustment according to the comparison result between the captured image and the shooting template.
  • the technical solution of the present invention in the process of taking a photo or self-timer by the user, recommends a better shooting angle or shooting skill for the user, and is convenient for the user to adjust, and the perfect photo can be obtained without post-processing.
  • FIG. 1 is a flow chart showing an image capturing method in accordance with a preferred embodiment of the present invention
  • FIG. 2 is a schematic flow chart of a template setting step of the image capturing method of FIG. 1;
  • FIG. 3 is a schematic flow chart of an image acquisition step of the image capturing method of FIG. 1;
  • FIG. 4 is a schematic flow chart of an image capturing step of the image capturing method of FIG. 3;
  • FIG. 5 is a schematic structural diagram of an image capturing system according to a preferred embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of a template setting module of the image capturing system of FIG. 5;
  • FIG. 7 is a schematic structural diagram of an image acquisition module of the image capture system of FIG. 5;
  • FIG. 8 is a schematic structural diagram of an image capturing module of the image capturing system of FIG. 7.
  • FIG. 8 is a schematic structural diagram of an image capturing module of the image capturing system of FIG. 7.
  • first, second, etc. may be used in the present invention to describe various acquisition modules, they should not be limited to these terms. These terms are only used to distinguish acquisition modules of the same type from one another.
  • first acquisition module may also be referred to as a second acquisition module without departing from the scope of the present invention.
  • second acquisition module may also be referred to as a first acquisition module.
  • the words "when” can be interpreted as “when” or “if” or “in response to determining” as used herein.
  • connection should be understood broadly, and may be, for example, a mechanical connection or an electrical connection, or may be internal communication between two elements. They are directly connected, and may also be indirectly connected through an intermediate medium. For those skilled in the art, the specific meanings of the above terms may be understood according to specific situations.
  • the image capturing method and image capturing system of the present invention can be applied to smart terminals, and the smart terminals can be implemented in various forms.
  • the smart terminal described in the present invention may include intelligence such as a mobile phone, a smart phone, a notebook computer, a PDA (Personal Digital Assistant), a PAD (Tablet), a PMP (Portable Multimedia Player), a navigation device, a smart watch, and the like.
  • Terminals, as well as fixed terminals such as digital TVs, desktop computers, and the like.
  • the present invention will be described on the assumption that the terminal is a smart terminal and that the smart terminal is a smart phone.
  • an intelligent terminal-based image capturing method of the present invention includes the following steps:
  • S200 Calling a camera application of the smart terminal to acquire a captured image
  • S400 comparing a photographic subject and a shooting background of the captured image with a photographic subject and a shooting background of the shooting template;
  • S500 prompt the user to perform shooting adjustment according to a comparison result between the captured image and the shooting template.
  • the image capturing method of the present invention in the process of taking a photo or self-photographing by the user, a better shooting angle or shooting skill is recommended for the user, which is convenient for the user to adjust. To this end, it is necessary to set a shooting template in the camera of the smart phone in advance.
  • the shooting template can be a general photography textbook, a photo gallery, etc., which includes recommended shooting angles and/or shooting techniques.
  • the shooting angle refers to the angle between the camera of the smartphone and the specific part of the subject or the subject when the user takes a photo with the smartphone camera, or the angle of the camera of the smartphone with the horizontal or vertical direction, or intelligence.
  • the angle between the camera of the mobile phone and a reference object or a certain direction For example, when the user uses the front camera to perform self-photographing, the face is taken as a specific part of the subject, and the shooting angle here may be an angle formed by the front camera of the smart phone and the face, and specifically, may be set as a smart phone.
  • the front camera and the left face of the subject form an elevation angle of 45°, that is, the front camera of the smartphone is higher than the left face and has an angle of 45°, so that a petite and self-photographing is obtained; for example, the user
  • the subject's legs are used as the specific part of the subject.
  • the angle of the shot can be the angle formed by the rear camera of the smartphone and the legs. Specifically, it can be set to smart.
  • the angle between the rear camera of the mobile phone and the legs of the subject is 45°, so that a photo of the leg extension effect is obtained.
  • the shooting technique refers to the shooting line of sight between the subject and the camera of the smartphone, the shooting posture of the subject, the expression, the props used, the composition at the time of shooting, the light source at the time of shooting, when the user takes a picture with the smartphone camera, The style of shooting, etc.
  • the user is recommended to use different shooting postures, expressions, props, etc. according to different face types of the user.
  • the user's face is divided into: round face, long face, square face, elliptical face or Inverted triangle face (melon face), pear-shaped face, etc.
  • the corresponding shooting skills are: round face: side 45 ° ⁇ 60 ° angle, use the props to cover a part of the face, highlighting the contour of the face, highlighting the three-dimensional sense; long face: Slightly lower head, look up, frontal; square face: three-quarter side or front side angle shooting, use side backlight; elliptical face or inverted triangle face (melon face): natural expression, snap; pear-shaped face: 45° angle Shoot and make full use of gestures.
  • the step of preset a shooting template in the smart terminal includes:
  • S120 Download the shooting template from the local and/or cloud database.
  • a shooting template is preset in the smartphone.
  • the shooting template can be downloaded by the user or the camera application can be downloaded by connecting to a local and/or cloud database.
  • Personalized recommendation techniques can be based on web or P2P technology.
  • the personalized recommendation technology is mainly developed in the field of web page access. According to the technology used, it can be divided into two categories: one is a rule-based personalized recommendation system; the other is an information filtering system. Among them, the information filtering system can be subdivided into a content-based filtering system and a collaborative filtering system.
  • the rule-based personalized recommendation system firstly estimates the content of interest that the user has not browsed or clicked according to the content of interest that the current user browses or clicks, and then according to the degree of support (or importance) of the rule, Sort and present this content to the user.
  • the extraction of rules is usually done automatically by user or by mining techniques. The more rules there are, the higher the accuracy of the recommendation.
  • the content-based filtering system implements recommending resources to users by calculating the similarity between user behavior characteristics and resource characteristics.
  • the collaborative filtering system is similar to the content filtering based system, but compares the similarities between different users, finds several of the most similar neighbor users, and predicts the user's interests through neighboring users, thereby recommending resources to the users.
  • P2P Peer to Peer
  • P2P applications are increasingly favored by users.
  • no central node provides services, and the status of all nodes is equal.
  • Each node is both serviced.
  • the requesting party is also the provider of the service.
  • P2P has changed the previous information sharing method based on C/S architecture. Users change from passive information receptors to active information sources, and users can conveniently contribute local resources through P2P system.
  • the personalized service based on P2P system is still in its infancy.
  • the content of personalized service recommendation for P2P system also includes recommendation friends, and P2P system provides a kind of user through interest. Find ways to find interesting content.
  • S200 calling a camera application of the smart terminal to acquire a shooting
  • the steps of the image include:
  • S210 Calling a camera application of the smart terminal to open a camera of the smart terminal;
  • S220 Acquire a captured image captured by the camera viewfinder.
  • the image capturing method of the present invention there are various methods for acquiring a captured image, for example, calling a photo album application of a smart phone, acquiring an image that has been completed in the photo album, or starting a camera of the smart phone, and acquiring the image before shooting. , the image captured in the camera finder frame.
  • the camera captured in the camera captures the captured image in the camera frame, and specifically includes, but is not limited to, identifying which camera is enabled by the smartphone, such as a front camera and a rear camera; and identifying the enabled camera mode.
  • identifying which camera is enabled by the smartphone such as a front camera and a rear camera
  • identifying the enabled camera mode such as camera mode, video mode, or normal mode, self-timer mode, panoramic mode, depth of field mode, delay mode, timing mode, slow motion mode, etc.
  • the object of the subject, the background of the shooting, and the shooting mode further identify and extract the feature information of the subject, such as identifying the subject as the human body, the shooting mode is self-photographing, and further identifying and extracting the subject according to the proportion of the subject occupying the frame of the frame.
  • the specific part is the face.
  • Digital image processing techniques including image transformation, image enhancement techniques, etc., are employed for the recognition and extraction of the subject in the framing frame, the specific part of the subject, and the background of the subject.
  • the conversion of analog image to digital image is realized by image transformation, which facilitates subsequent processing.
  • the methods of image transformation mainly include Fourier transform, Walsh-Hadamard transform and discrete Kafner-Levy transform.
  • Fourier transform is Fourier transform, including Fourier transform and Fourier inverse transform, Fourier transform is used to transform from real to frequency domain, and Fourier inverse transform is used to convert from frequency domain to real domain.
  • the two-dimensional Fourier transform is used to transform from the spatial domain to the transform domain.
  • the transform domain image is the two-dimensional spectrum of the original spatial domain image.
  • the DC term is proportional to the average of the original image brightness, and the high-frequency term is characterized. The intensity and direction of the edge changes in the image.
  • the Walsh-Adamama transform and the discrete Kafner-Levy transform can also realize the conversion function from analog image to digital image.
  • the implementation method of Walsh-Adamama transform is relative to Fu.
  • the inner-leaf transformation is simpler, the computer has higher computing speed and the storage capacity is small;
  • the discrete Kaffner-Levy transform is a transformation based on the statistical properties of the image, also known as the Hotlin transform or the eigenvector transform.
  • the image is transformed from the real number domain to the frequency domain by Fourier transform, Walsh-Hadamard transform and discrete Kafner-Levy transform, there are different frequency components in the image.
  • the image transformation is gentle at low frequency components in the frequency domain.
  • the same block of the same color in the original image is the same or similar and the color block without color mutation is transformed into the frequency domain and then is the low frequency component; the abrupt part or the edge part of the original image is in the frequency domain.
  • the high-frequency components for example, adjacent color patches having large color differences in the original image are converted to the frequency domain and their boundaries correspond to high-frequency components.
  • the image enhancement technique is used to enhance the high-frequency component of the image, so that the outline of the image is clear, thereby facilitating extraction.
  • the image converted to the frequency domain is filtered by a high-pass filter, the low-frequency component is suppressed, the high-frequency component is passed, and the high-frequency component is enhanced, thereby enhancing the edge, and the subject, the specific part of the subject, and the background contour of the subject are captured. Clear and easy to extract.
  • image segmentation can be realized, thereby extracting the object and the object.
  • -S400 comparing the photographic subject and the shooting background of the captured image with the photographic subject and the shooting background of the shooting template
  • the extracted subject, the specific part of the subject, the shooting background and the feature template in the shooting template are search-matched, and by setting a threshold, when the similarity exceeds the threshold, the result of the matching is output.
  • This process is divided into two categories: one is confirmation, one-to-one image comparison process, and the other is recognition, which is a one-to-many image matching process.
  • -S500 prompting the user to perform shooting adjustment according to the comparison result of the captured image and the shooting template.
  • the user is prompted to perform shooting adjustment in a dotted outline and/or a text manner.
  • the difference between the captured image and the shooting template is displayed, by the outline of the dotted line and/or the bubble
  • the text mode reminds the user to change the shooting angle or use the shooting technique to match the shooting template.
  • the image capturing method further includes:
  • the user is prompted to take the captured image.
  • the prompt is displayed.
  • the user takes a picture.
  • the present invention also discloses an image capture system 100 based on a smart terminal.
  • the image capture system 100 includes a template setting module 11 , an image acquisition module 12 , an element extraction module 13 , and an image comparison module 14 .
  • the template setting module 11 presets a shooting template in the smart terminal
  • the image acquisition module 12 calls a camera application of the smart terminal to acquire a captured image
  • the element extraction module 13 is communicably connected to the image acquisition module 12, and extracts a photographic subject and a shooting background of the captured image;
  • the image comparison module 14 is communicably connected to the template setting module 11 and the element extraction module 13 to compare the object to be photographed and the shooting background with the object of the shooting template and the shooting background;
  • the image prompting module 15 is communicably connected to the image matching module 14, and prompts the user to perform shooting adjustment according to the comparison result between the captured image and the shooting template.
  • the template setting module 11 includes: a database connection unit and a template download unit;
  • the database connection unit is connected to a local and/or cloud database
  • the template download unit is communicably connected to the database connection unit, and downloads the shooting template from the local and/or cloud database.
  • the image acquisition module 12 includes: a camera activation unit and an image acquisition unit;
  • the camera activation unit invokes a camera application of the smart terminal to open a camera of the smart terminal;
  • the image acquisition unit is communicably connected to the camera activation unit to acquire a captured image captured by the camera viewfinder.
  • the image prompting module 15 prompts the user to perform shooting adjustment according to the result of the comparison between the captured image and the shooting template in a dotted outline and/or a text manner.
  • the image capturing system 100 further includes an image capturing module 16;
  • the image capturing module 16 includes: an error setting unit, an error detecting unit, an error comparing unit, and an image capturing unit;
  • the error setting unit sets an error threshold in the smart terminal
  • the error detecting unit detects an error value of the captured image and the shooting template when performing shooting adjustment
  • the error comparison unit is communicably connected to the error setting unit and the error detecting unit, and compares an error value of the captured image with the shooting template with the error threshold;
  • the image capturing unit is in communication with the error comparison unit, and prompts the user to capture the captured image when the error value of the captured image and the shooting template is less than the error threshold.

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Abstract

La présente invention concerne un procédé et un système de capture d'images basés sur un terminal intelligent, le procédé de capture d'images comportant les étapes consistant à: prédéfinir un modèle de capture; appeler une application de caméra d'un terminal intelligent pour acquérir une image capturée; extraire un objet de capture et un arrière-plan de capture de l'image capturée; comparer l'objet de capture et l'arrière-plan de capture de l'image capturée à un objet de capture et à un arrière-plan de capture du modèle de capture; et inviter un utilisateur à régler la capture en fonction du résultat de la comparaison entre l'image capturée et le modèle de capture. Selon la solution technique de la présente invention, un meilleur angle de capture ou une meilleure technique de capture sont recommandés à un utilisateur au cours de la prise d'une photo ou d'un autoportrait par l'utilisateur, ce qui facilite un réglage par l'utilisateur pour obtenir une photo parfaite sans post-traitement.
PCT/CN2017/109874 2017-11-08 2017-11-08 Procédé et système de capture d'images basés sur un terminal intelligent Ceased WO2019090502A1 (fr)

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CN201780096647.0A CN111316628A (zh) 2017-11-08 2017-11-08 一种基于智能终端的图像拍摄方法及图像拍摄系统
PCT/CN2017/109874 WO2019090502A1 (fr) 2017-11-08 2017-11-08 Procédé et système de capture d'images basés sur un terminal intelligent

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CN103458190A (zh) * 2013-09-03 2013-12-18 小米科技有限责任公司 一种拍照方法、装置及终端设备
CN104869299A (zh) * 2014-02-26 2015-08-26 联想(北京)有限公司 一种提示方法和装置

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CN112037227B (zh) * 2020-09-09 2024-02-20 脸萌有限公司 视频拍摄方法、装置、设备及存储介质
US12041374B2 (en) 2020-09-09 2024-07-16 Lemon Inc. Segmentation-based video capturing method, apparatus, device and storage medium
CN113012031A (zh) * 2020-10-30 2021-06-22 北京达佳互联信息技术有限公司 图像处理方法和图像处理装置
CN118747225A (zh) * 2024-07-13 2024-10-08 广州参数信息科技有限公司 一种基于人工智能和云端数据库的证件照采集系统及方法

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