CN108965535B - Illumination information optimization method and device and electronic equipment - Google Patents

Illumination information optimization method and device and electronic equipment Download PDF

Info

Publication number
CN108965535B
CN108965535B CN201810914867.6A CN201810914867A CN108965535B CN 108965535 B CN108965535 B CN 108965535B CN 201810914867 A CN201810914867 A CN 201810914867A CN 108965535 B CN108965535 B CN 108965535B
Authority
CN
China
Prior art keywords
picture
sub
illumination
illumination intensity
target
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201810914867.6A
Other languages
Chinese (zh)
Other versions
CN108965535A (en
Inventor
奥利维尔·菲永
李建亿
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Pacific Future Technology Shenzhen Co Ltd
Original Assignee
Pacific Future Technology Shenzhen Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Pacific Future Technology Shenzhen Co Ltd filed Critical Pacific Future Technology Shenzhen Co Ltd
Publication of CN108965535A publication Critical patent/CN108965535A/en
Application granted granted Critical
Publication of CN108965535B publication Critical patent/CN108965535B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/02Constructional features of telephone sets
    • H04M1/0202Portable telephone sets, e.g. cordless phones, mobile phones or bar type handsets
    • H04M1/026Details of the structure or mounting of specific components
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/003D [Three Dimensional] image rendering
    • G06T15/50Lighting effects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics
    • G06T19/006Mixed reality
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/02Constructional features of telephone sets
    • H04M1/0202Portable telephone sets, e.g. cordless phones, mobile phones or bar type handsets
    • H04M1/0279Improving the user comfort or ergonomics
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/02Constructional features of telephone sets
    • H04M1/04Supports for telephone transmitters or receivers

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Graphics (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Studio Devices (AREA)
  • Circuit Arrangement For Electric Light Sources In General (AREA)

Abstract

The embodiment of the invention provides an illumination information optimization method, an illumination information optimization device and electronic equipment, wherein the illumination information optimization method comprises the following steps: acquiring a target picture, and decomposing the target picture into a first preset number of sub-pictures; acquiring the geometric center of the sub-picture, determining a light intensity weighting center according to the image moment of the sub-picture, and determining the illumination angle of the sub-picture based on the light intensity weighting center and the geometric center of the sub-picture; carrying out gray level processing on the sub-picture, and obtaining the illumination intensity of the sub-picture according to the gray level value of each point on the sub-picture; acquiring an illumination intensity weighted value of the sub-image, and acquiring the illumination intensity of the target image according to the illumination intensity of the sub-image and the illumination intensity weighted value of the sub-image; and calculating the illumination angle of the sub-picture to obtain the illumination angle of the target picture.

Description

Illumination information optimization method and device and electronic equipment
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to a method and an apparatus for optimizing illumination information, and an electronic device.
Background
Augmented Reality (AR) technology can cover a virtual world on a screen in a real world and perform interaction, and a user can sense the existence of a virtual object by utilizing AR equipment. However, in the process of implementing the present invention, the inventor finds that in the related art, it is generally necessary to acquire the environmental information, the position, and the time of the picture or the video in advance, determine the illumination information corresponding to the picture or the video according to the information, and then render the virtual object with the viewing effect. The method is low in efficiency, and the light and shadow effect of the virtual object and the scene are deviated possibly due to the fact that the accurate illumination angle and illumination intensity in the picture or the video cannot be accurately acquired.
In addition, in order to obtain a virtual object of the AR device that is the same as a real scene, the virtual object is often directly captured and acquired through a mobile phone camera, and more users directly play an AR video through a mobile phone screen. In order to avoid poor framing effect caused by shaking of the handheld device or inconvenience caused by long-time video watching of a user holding the mobile phone, the mobile phone is often required to be installed on the support to be stable, common users often use the simple mobile phone support to achieve the required framing effect and stable supporting effect, the common simple support is located on a mobile phone protective shell or is adhered to the back of the mobile phone through strong glue, more and more users are reluctant to use the mobile phone protective shell and the adhesive simple support due to increasingly firm mobile phone glass, the problem of heat dissipation of the mobile phone and the attractiveness of the mobile phone.
Disclosure of Invention
The illumination information optimization method, the illumination information optimization device and the electronic equipment provided by the embodiment of the invention are used for at least solving the problems in the related art.
An embodiment of the present invention provides an optimization method for illumination information, including:
acquiring a target picture, and decomposing the target picture into a first preset number of sub-pictures; wherein the sub-picture is composed of a second preset number of pixels; acquiring the geometric center of the sub-picture, determining a light intensity weighting center according to the image moment of the sub-picture, and determining the illumination angle of the sub-picture based on the light intensity weighting center and the geometric center of the sub-picture; carrying out gray level processing on the sub-picture, and obtaining the illumination intensity of the sub-picture according to the gray level value of each point on the sub-picture; acquiring an illumination intensity weighted value corresponding to the sub-picture, and acquiring the illumination intensity of the target picture according to the illumination intensity of the sub-picture and the illumination intensity weighted value corresponding to the sub-picture; and calculating the illumination angle of the sub-picture to obtain the illumination angle of the target picture.
Further, the performing gray processing on the sub-picture and obtaining the illumination intensity of the sub-picture according to the gray value of each point on the sub-picture includes: carrying out gray level processing on the sub-picture, so that each point on the sub-picture only keeps a gray level value of 0-255; and inputting the gray value of each point on the sub-picture into a pre-trained illumination intensity model to obtain the illumination intensity of the sub-picture.
Further, the obtaining of the illumination intensity value corresponding to the sub-picture includes: acquiring the position coordinates of the sub-picture in the target picture; and determining the illumination intensity weight value corresponding to the sub-picture according to the position coordinate of the sub-picture and the size of the sub-picture.
Further, the calculating the illumination angle of each sub-picture to obtain the illumination angle corresponding to the target picture includes: judging whether the size of the sub-picture is smaller than a preset threshold value or not; and if the illumination angle of the target picture is smaller than the preset threshold, summing the vectors of the illumination angles of the sub-pictures to obtain the illumination angle of the target picture.
Further, the calculating the illumination angle of each sub-picture to obtain the illumination angle corresponding to the target picture includes: determining the illumination angle weight value corresponding to each sub-picture; and carrying out weighted summation on the vectors of the illumination angles of the sub-pictures according to the illumination angle weight values, and calculating to obtain the illumination angle of the target picture.
Another aspect of the embodiments of the present invention provides an apparatus for optimizing illumination information, including:
the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a target picture and decomposing the target picture into a first preset number of sub-pictures; wherein the sub-picture is composed of a second preset number of pixels; the determining module is used for acquiring the geometric center of the sub-picture, determining a light intensity weighting center according to the image moment of the sub-picture, and determining the illumination angle of the sub-picture based on the light intensity weighting center and the geometric center of the sub-picture; the processing module is used for carrying out gray processing on the sub-picture and obtaining the illumination intensity of the sub-picture according to the gray value of each point on the sub-picture; the first calculation module is used for acquiring the illumination intensity weighted value corresponding to the sub-picture and obtaining the illumination intensity of the target picture according to the illumination intensity of the sub-picture and the illumination intensity weighted value corresponding to the sub-picture; and the second calculation module is used for calculating the illumination angle of the sub-picture to obtain the illumination angle of the target picture.
Further, the processing module is specifically configured to perform gray processing on the sub-picture, so that only one gray value of 0 to 255 is reserved for each point on the sub-picture; and inputting the gray value of each point on the sub-picture into a pre-trained illumination intensity model to obtain the illumination intensity of the sub-picture.
Further, the first calculation module includes: the acquisition unit is used for acquiring the position coordinates of the sub-picture in the target picture; and the determining unit is used for determining the illumination intensity weight value corresponding to the sub-picture according to the position coordinate of the sub-picture and the size of the sub-picture.
Further, the first calculation module further comprises: the judging unit is used for judging whether the size of the sub-picture is smaller than a preset threshold value or not; and the summing unit is used for summing the vectors of the illumination angles of the sub-pictures to obtain the illumination angle of the target picture if the sum is smaller than a preset threshold value.
Further, the second calculating module is further configured to determine an illumination angle weight value corresponding to each of the sub-pictures; and carrying out weighted summation on the vectors of the illumination angles of the sub-pictures according to the illumination angle weight values, and calculating to obtain the illumination angle of the target picture.
Another aspect of an embodiment of the present invention provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to perform the above-mentioned method of optimizing lighting information.
Further, the electronic device is a mobile phone, and the acquisition of the target picture in the optimization method of the illumination information is realized through the mobile phone. The mobile phone comprises a front panel with a display screen and a mobile phone rear cover; the middle lower part of the rear cover of the mobile phone is provided with a depressed area, and a supporting plate which is matched with the depressed area in shape and size is arranged in the depressed area; the upper end of the supporting plate is hinged with the sunken area, so that the supporting plate can rotate to form a preset angle with the rear cover of the mobile phone; the lower end of the supporting plate is provided with a connecting piece, one end of the connecting piece is in flexible connection with the supporting plate, the other end of the connecting piece is provided with a blocking part matched with the shape and the size of a mobile phone charging interface, and the blocking part is in plug-in fit with the mobile phone charging interface;
furthermore, the supporting plate comprises a first plate body, a second plate body, a first connecting plate, a second connecting plate and a connecting rod, wherein the first plate body, the first connecting plate, the second connecting plate and the second plate body are sequentially connected to form a plate body; the connecting rod comprises a first rod body and a second rod body, the two opposite ends of the first rod body are respectively hinged with the first end and the third end, the two opposite ends of the second rod body are respectively hinged with the second end and the fourth end, and the first rod body and the second rod body are both arranged on one side of the supporting plate far away from the front panel; the first connecting plate and the second connecting plate are positioned between the first plate body and the second plate body, one side of the first connecting plate is hinged with one side of the first plate body, one side of the second connecting plate is hinged with one side of the second plate body, the other side of the first connecting plate is hinged with the other side of the second connecting plate, and the first connecting plate and the second connecting plate are arranged on one side, close to the front panel, of the supporting plate; the first plate body is provided with a first part arranged along the thickness direction of the first plate body, and the first part is positioned between the hinge joint of the first plate body and the connecting rod and the hinge joint of the first plate body and the first connecting plate; the second plate body is provided with a second part arranged along the thickness direction of the second plate body, and the second part is positioned between the hinge joint of the second plate body and the connecting rod and the hinge joint of the second plate body and the second connecting plate; the first portion, the second portion, the first connecting plate, the second connecting plate and the connecting rod form a five-rod mechanism.
Further, the depressed area includes diapire and lateral wall, the diapire and/or be equipped with ventilation structure on the lateral wall, ventilation structure is a plurality of ventilation holes or ventilation grid.
Further, the connecting member is made of rubber.
Further, first end, second end, third end and fourth end all are equipped with a depressed part, the relative both ends of the first body of rod are arranged in respectively the depressed part of first end with in the depressed part of third end, the relative both ends of the second body of rod are arranged in respectively the depressed part of third end with in the depressed part of fourth end.
According to the technical scheme, the illumination information optimization method, the illumination information optimization device and the electronic equipment provided by the embodiment of the invention have the advantages that the illumination intensity and the illumination angle of the sub-pictures are obtained, the illumination intensity and the illumination angle of each sub-picture are respectively calculated to obtain the illumination information of the whole picture, and the virtual object is rendered in a light and shadow effect manner, so that the virtual object can be matched with the scene environment where the virtual object is located. In addition, the mobile phone with the supporting plate used in the optimization method of the illumination information provided by the embodiment of the invention can enable the shooting and playing of the mobile phone to be more stable, the mobile phone does not need a protective shell or a pasting part, the appearance is more attractive, the acquisition quality of the target picture in the optimization method of the illumination information is improved, and the mobile phone can be used independently without the method.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present invention, and it is also possible for a person skilled in the art to obtain other drawings based on the drawings.
Fig. 1 is a flowchart of an optimization method for illumination information according to an embodiment of the present invention;
FIG. 2 is a diagram of the intensity weighted center and the weighted center coordinate of a sub-picture according to an embodiment of the present invention;
fig. 3 is a detailed flowchart of step S104 according to an embodiment of the present invention;
fig. 4 is a structural diagram of an apparatus for optimizing illumination information according to an embodiment of the present invention;
fig. 5 is a structural diagram of an apparatus for optimizing illumination information according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a hardware structure of an electronic device for executing the method for optimizing illumination information according to the embodiment of the present invention;
fig. 7 is a schematic structural diagram of a mobile phone for acquiring a target picture in the optimization method for illumination information according to an embodiment of the present invention;
fig. 8 is an exploded view of a mobile phone support plate for acquiring a target picture in the optimization method for illumination information according to an embodiment of the present invention;
fig. 9 is a schematic view of a mobile phone support plate for obtaining a target picture in an optimization method for illumination information according to an embodiment of the present invention in a support state;
FIG. 10 is an enlarged view of portion A of FIG. 9;
FIG. 11 is an enlarged view of portion B of FIG. 9;
fig. 12 is a schematic diagram of a mobile phone support plate for acquiring a target picture in an optimization method for illumination information according to an embodiment of the present invention in a folded state.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments of the present invention shall fall within the scope of the protection of the embodiments of the present invention.
Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict. Fig. 1 is a flowchart of an illumination information optimization method according to an embodiment of the present invention. As shown in fig. 1, the method for optimizing illumination information according to the embodiment of the present invention includes:
s101, acquiring a target picture, and decomposing the target picture into a first preset number of sub-pictures.
Specifically, the illumination information includes illumination intensity and illumination angle, and the embodiment of the invention obtains the overall illumination information of the target picture by decomposing the target picture and respectively calculating the illumination intensity and the illumination angle of the target picture. The target picture may be a frame in a video or a single picture frame captured from a camera, and the invention is not limited thereto. The acquired timing may be based on an operation instruction of a user, or may be when a scene of the video meets a preset requirement or condition.
In this step, after a target picture is obtained, the target picture is decomposed into a first preset number of small square grid elements with preset sizes, and each small square grid element is used as a sub-picture, wherein the sub-picture is composed of a second preset number of pixels. For example, the target picture may be decomposed into C columns and R rows (where C, R are integers, and C ≧ 2, R ≧ 2), resulting in multiple sub-pictures, each of which consists of p pixels.
As an optional implementation manner of this embodiment, since the illumination information does not relate to the color problem, for a color picture, before decomposition, gray scale extraction may be performed on a target picture, and an influence of color on illumination intensity acquisition may also be avoided.
S102, acquiring the geometric center of the sub-picture, determining a light intensity weighting center according to the image moment of the sub-picture, and determining the illumination angle of the sub-picture based on the light intensity weighting center and the geometric center of the sub-picture.
For the sub-pictures in the first preset range, the image moment of each sub-picture needs to be calculated to determine the corresponding light intensity weighting center. Image moments are a set of moments computed from a digital image, typically describing the global features of the image and providing a large amount of information about different types of geometric features of the image, such as size, position, orientation, shape, etc., for example: the first moment is shape dependent; the second moment shows the extent of expansion of the curve around the mean of the straight line; the third moment is a measure of symmetry about the mean; a group of seven invariant moments can be derived from the second order moment and the third order moment, the invariant moments are statistical characteristics of the images and meet the requirement of invariant translation, stretching and rotation, in the image processing process, the geometric invariant moments can be used as an important characteristic to represent objects, and the images can be classified according to the characteristic. The first order moment, the second order moment, the third order moment and seven invariant moments derived from the second order moment and the third order moment have specific calculation formulas, and determining the light intensity weighting center according to the formulas belongs to the technical common knowledge in the field, and the details are not repeated herein.
As shown in FIG. 2, the intensity weighted center g is determined by the image moment, whose coordinate position in the sub-image is (x)g,yg)。
As shown in FIG. 2, the coordinate position (x) of the geometric center c in the sub-picture is determinedc,yc) And comparing the coordinate position of the geometric center c with the coordinate position of the light intensity weighting center g determined in step S102, a vector from the geometric center c to the weighting center g
Figure BDA0001762720830000071
Is the result of the influence of the illumination, we are provided with a local light effect indication of the target picture position where the sub-picture is located. In particular, vectors
Figure BDA0001762720830000072
Representing the direction of illumination, d representing the modulus of the vector cg
Figure BDA0001762720830000073
α represents the illumination angle of the sub-picture, since tan α ═ yg-yc)/(xg-xc) Then α ═ Arctan ((y)g-yc)/(xg-xc) Namely, the illumination angle of the sub-picture is calculated through the coordinates of the geometric center and the weighting center.
As an optional implementation manner of this embodiment, after the illumination angle of each sub-picture is determined, whether the illumination of the sub-picture is from the ground may be determined according to the illumination angle vector of the sub-picture, and if the illumination angle of the sub-picture is from the ground, which indicates that the illumination does not belong to the current scene, the sub-picture is removed.
S103, carrying out gray level processing on the sub-picture, and obtaining the illumination intensity of the sub-picture according to the gray level value of each point on the sub-picture.
Because the association between the illumination angle, the illumination intensity and the like and the saturation of the color and the color gamut information in the pixel points in the sub-pictures is relatively small, and in order to improve the subsequent processing efficiency, the gray processing is carried out on each sub-picture, so that only one gray value of 0-255 is reserved for each pixel point on each sub-picture.
Before this step is performed, a data sample set may be prepared and a model of the light intensity may be trained. The data sample set is composed of a plurality of pictures, and each picture carries the gray value of each pixel point on the picture and the illumination intensity corresponding to the picture. In the training process, the gray value of each pixel point on each picture is used as the input value of the model, the output value of the model is compared with the illumination intensity corresponding to the picture, and the model is continuously optimized.
In this step, the gray values of the points on the sub-picture are input into a pre-trained illumination intensity model, and the illumination intensity model obtains the illumination intensity of the sub-picture by analyzing and processing the gray values of the points on the sub-picture.
S104, obtaining the illumination intensity weighted value corresponding to the sub-picture, and obtaining the illumination intensity of the target picture according to the illumination intensity of the sub-picture and the illumination intensity weighted value corresponding to the sub-picture.
Specifically, the illumination intensity weight value corresponding to the sub-picture may be obtained through the following sub-steps.
S1041, obtaining the position coordinates of the sub-picture in the target picture.
For each sub-picture, its coordinate position (x) in the target picture is determinedi,yi) Wherein i is a sequence number of the sub-picture in the target picture, for example, the first preset number of the sub-pictures is n, n sub-pictures can be numbered from 1 to n, and i is less than or equal to n. Because the sub-picture is composed of a plurality of pixel points, the pixel point which can represent the illumination intensity of the sub-picture most needs to be selected, and the coordinate of the pixel point is used as the coordinate position of the sub-picture. Optionally, in step S103, when the illumination intensity model outputs the illumination intensity of the sub-picture, the illumination intensity model may also output the pixel coordinates corresponding to the gray-level value closest to the illumination intensity.
S1042, determining the illumination intensity weight value corresponding to the sub-picture according to the position coordinate of the sub-picture and the size of the sub-picture.
Specifically, the illumination intensity weight value corresponding to each sub-picture may be calculated by the following formula.
Figure BDA0001762720830000081
Wherein Fi is the illumination intensity weighted value, SiIs the length of the sub-picture.
And calculating to obtain the illumination intensity weight value corresponding to each sub-picture according to the formula.
After obtaining the illumination intensity weight value corresponding to each sub-picture, the illumination intensity of the target picture can be calculated by the following formula.
Figure BDA0001762720830000082
Wherein L is the illumination intensity of the target picture, LiThe illumination intensity of each sub-picture obtained in step S103.
And S105, calculating the illumination angle of the sub-picture to obtain the illumination angle of the target picture.
Specifically, the illumination angle can be obtained as follows. Determining the illumination angle weight value corresponding to each sub-picture; and carrying out weighted summation on the vectors of the illumination angles of the sub-pictures according to the illumination angle weight values, and calculating to obtain the illumination angle of the target picture.
Specifically, the weight value corresponding to each sub-picture may be determined according to a vector norm of the illumination angle corresponding to each sub-picture, and/or the illumination angle, and/or previous experience.
Optionally, first, a confidence factor may be calculated according to the weight value corresponding to each sub-picture and the vector of the illumination angle corresponding to each sub-picture, and when the confidence factor is smaller than a preset value, the weight value is adjusted. Specifically, the confidence factor is a ratio of the vector sum of the illumination angles to the sum of the weight values, and the confidence factor can indicate whether the weight values match the vector trend, and the more the confidence factor approaches to 1, the more appropriate the weight values are. When the confidence factor is smaller than the preset value, the determined weight value is not appropriate, the weight value needs to be adjusted, and after the adjustment, a new confidence factor is calculated according to the method for checking until the new confidence factor can be larger than a preset threshold value.
Secondly, determining the length of the vector of the illumination angle of each sub-picture according to the weight value, then summing the vectors determined by the lengths to obtain the vector of the illumination angle corresponding to the target picture, and obtaining the illumination angle corresponding to the target picture according to the vector of the illumination angle corresponding to the target picture by the method described in step S102.
As another optional implementation manner of the embodiment of the present invention, when the size of the sub-picture is small enough, it may be considered that the weight values corresponding to the sub-pictures are the same, so as to improve the efficiency of the illumination angle optimization. Specifically, whether the size of each sub-picture is smaller than a preset threshold is judged, if so, the vectors of the illumination angles of the sub-pictures are directly summed without considering the weight values corresponding to the sub-pictures, and the illumination angle of the target picture is obtained. Optionally, the obtained illumination angle may be statistically corrected to obtain a more accurate illumination angle.
According to the illumination information optimization method provided by the embodiment of the invention, the illumination intensity and the illumination angle of the sub-pictures are obtained, the illumination intensity and the illumination angle of each sub-picture are respectively calculated to obtain the illumination information of the whole picture, and the virtual object is rendered in a light and shadow effect according to the illumination information, so that the virtual object can be matched with the scene environment where the virtual object is located.
Fig. 4 is a structural diagram of an optimization apparatus for illumination information according to an embodiment of the present invention. As shown in fig. 4, the apparatus specifically includes: an acquisition module 100, a determination module 200, a processing module 300, a first calculation module 400, and a second calculation module 500. Wherein the content of the first and second substances,
an obtaining module 100, configured to obtain a target picture, and decompose the target picture into a first preset number of sub-pictures; wherein the sub-picture is composed of a second preset number of pixels; a determining module 200, configured to obtain a geometric center of the sub-picture, determine a light intensity weighting center according to an image moment of the sub-picture, and determine an illumination angle of the sub-picture based on the light intensity weighting center and the geometric center of the sub-picture; the processing module 300 is configured to perform gray processing on the sub-picture, and obtain the illumination intensity of the sub-picture according to the gray value of each point on the sub-picture; a first calculating module 400, configured to obtain an illumination intensity weight value corresponding to the sub-picture, and obtain an illumination intensity of the target picture according to the illumination intensity of the sub-picture and the illumination intensity weight value corresponding to the sub-picture; the second calculating module 500 is configured to calculate the illumination angle of the sub-picture to obtain the illumination angle of the target picture.
The illumination information optimization apparatus provided in the embodiment of the present invention is specifically configured to execute the method provided in the embodiment shown in fig. 1 and 2, and the implementation principle, the method, the function and the like of the method provided in the embodiment shown in fig. 1 and 2 are similar to those of the embodiment shown in fig. 1 and 2, and are not described herein again.
Fig. 5 is a structural diagram of an optimization apparatus for illumination information according to an embodiment of the present invention. As shown in fig. 5, the apparatus specifically includes: : an acquisition module 100, a determination module 200, a processing module 300, a first calculation module 400, and a second calculation module 500. Wherein the content of the first and second substances,
an obtaining module 100, configured to obtain a target picture, and decompose the target picture into a first preset number of sub-pictures; wherein the sub-picture is composed of a second preset number of pixels; a determining module 200, configured to obtain a geometric center of the sub-picture, determine a light intensity weighting center according to an image moment of the sub-picture, and determine an illumination angle of the sub-picture based on the light intensity weighting center and the geometric center of the sub-picture; the processing module 300 is configured to perform gray processing on the sub-picture, and obtain the illumination intensity of the sub-picture according to the gray value of each point on the sub-picture; a first calculating module 400, configured to obtain an illumination intensity weight value corresponding to the sub-picture, and obtain an illumination intensity of the target picture according to the illumination intensity of the sub-picture and the illumination intensity weight value corresponding to the sub-picture; the second calculating module 500 is configured to calculate the illumination angle of the sub-picture to obtain the illumination angle of the target picture.
Further, the processing module 300 is specifically configured to perform gray processing on the sub-picture, so that only one gray value of 0 to 255 is reserved for each point on the sub-picture; and inputting the gray value of each point on the sub-picture into a pre-trained illumination intensity model to obtain the illumination intensity of the sub-picture.
Further, the first calculation module 400 includes: an acquisition unit 410 and a determination unit 42. Wherein the content of the first and second substances,
an obtaining unit 410, configured to obtain position coordinates of the sub-picture in the target picture; a determining unit 420, configured to determine, according to the position coordinate of the sub-picture and the size of the sub-picture, an illumination intensity weight value corresponding to the sub-picture.
Further, the first calculation module 400 further includes: a decision unit 430 and a summation unit 440. Wherein the content of the first and second substances,
a determining unit 430, configured to determine whether the size of the sub-picture is smaller than a preset threshold; the summing unit 440 is configured to sum the vectors of the illumination angles of the sub-pictures to obtain the illumination angle of the target picture if the sum is smaller than a preset threshold.
Further, the second calculating module 500 is further configured to determine an illumination angle weight value corresponding to each of the sub-pictures; and carrying out weighted summation on the vectors of the illumination angles of the sub-pictures according to the illumination angle weight values, and calculating to obtain the illumination angle of the target picture.
The illumination information optimization apparatus provided in the embodiments of the present invention is specifically configured to execute the method provided in the embodiments shown in fig. 1 to 3, and the implementation principle, the method, and the functional use of the method are similar to those in the embodiments shown in fig. 1 to 3, and are not described herein again.
The above-mentioned optimization device for illumination information according to the embodiments of the present invention may be independently disposed in the electronic device as one of software or hardware functional units, or may be integrated in a processor as one of functional modules to execute the optimization method for illumination information according to the embodiments of the present invention.
Fig. 6 is a schematic diagram of a hardware structure of an electronic device for executing the method for optimizing lighting information according to the embodiment of the present invention. As shown in fig. 6, the electronic device includes:
one or more processors 610 and a memory 620, with one processor 610 being an example in fig. 6. The apparatus for performing the method for optimizing illumination information may further include: an input device 630 and an output device 630.
The processor 610, the memory 620, the input device 630, and the output device 640 may be connected by a bus or other means, such as the bus connection in fig. 6.
The memory 620, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the method for optimizing lighting information in the embodiment of the present invention. The processor 610 executes various functional applications of the server and data processing by executing nonvolatile software programs, instructions, and modules stored in the memory 620, that is, implements the optimization method of the lighting information.
The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by use of the optimization apparatus of illumination information provided according to an embodiment of the present invention, and the like. Further, the memory 620 may include high speed random access memory 620, and may also include non-volatile memory 620, such as at least one piece of disk memory 620, flash memory devices, or other non-volatile solid state memory 620. In some embodiments, the memory 620 optionally comprises memory 620 located remotely with respect to the processor 66, and these remote memories 620 may be connected to the optimization device of the lighting information via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 630 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the optimization means of the illumination information. The input device 630 may include a pressing module or the like.
The one or more modules are stored in the memory 620, and when executed by the one or more processors 610, perform an optimization method of the lighting information.
The electronic device of embodiments of the present invention exists in a variety of forms, including but not limited to:
(1) mobile communication devices, which are characterized by mobile communication capabilities and are primarily targeted at providing voice and data communications. Such terminals include smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) The ultra-mobile personal computer equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include PDA, MID, and UMPC devices, such as ipads.
(3) Portable entertainment devices such devices may display and play multimedia content. Such devices include audio and video players (e.g., ipods), handheld game consoles, electronic books, as well as smart toys and portable car navigation devices.
(4) And (4) a server.
(5) And other electronic devices with data interaction functions.
Specifically, the electronic device in this embodiment may be a mobile phone with a supporting structure, and referring to fig. 7 to 12, the mobile phone may be used for obtaining the target picture in the optimization method of the illumination information in the above embodiments. The mobile phone can be stably supported by arranging the supporting plate on the rear cover, and the mobile phone is stable enough when a target image and a video are obtained, so that a high-quality target picture is obtained, and a foundation is laid for the subsequent processing of the target picture. Meanwhile, the mobile phone avoids the situation that a user uses the mobile phone shell with the support and the externally-adhered support through the support plate, the heat dissipation of the mobile phone is facilitated, the attractiveness is improved, and the problem of fatigue caused by long-time holding of the mobile phone by the user is solved.
As shown in fig. 7, the mobile phone includes a front panel (not shown) having a display screen and a mobile phone rear cover 1000; a depressed area 1100 is arranged at the middle lower part of the mobile phone rear cover 1000, and a support plate 2000 which is matched with the depressed area 1100 in shape and size is arranged in the depressed area 1100; the upper end of the supporting plate 2000 is hinged to the depressed area 1100, so that the supporting plate 2000 can rotate to a preset angle with the mobile phone rear cover 1000, specifically, the upper end of the supporting plate 2000 of the embodiment can be provided with a rotating shaft, the upper end of the depressed part is provided with a shaft hole matched with the rotating shaft, the supporting plate 2000 can rotate by matching the rotating shaft with the shaft hole, and other rotating mechanisms with simpler structures are also within the optional range of the embodiment.
In addition, in order to realize the detachable connection between the lower end of the support plate 2000 and the mobile phone, in this embodiment, the lower end of the support plate 2000 is provided with a connecting member 3000, one end of the connecting member 3000 is flexibly connected with the support plate 2000, the other end of the connecting member is provided with a blocking portion 310 matched with the shape and size of the mobile phone charging interface 4000, and the blocking portion 310 is in inserting fit with the mobile phone charging interface 4000. Specifically, the connecting member 3000 of this embodiment is made of rubber, and the rubber has good deformability, is low in cost, and is easy to implement.
This embodiment is equipped with rotatable backup pad in the depressed area of lid behind the cell-phone, can play the side to the cell-phone and stand the supporting role, satisfies user's operation requirement, need not to establish the cell-phone shell on the cell-phone, has avoided the cell-phone shell to the radiating influence of cell-phone. And the lower extreme of backup pad realizes the fixed of self through being connected with the cell-phone interface that charges, but also can play the effect of the protection interface that charges, has promoted the functional of backup pad, and in addition, the expansion of the backup pad of this embodiment is also very convenient, only need through with the shutoff portion from the cell-phone interface that charges extract can.
In addition, the existing supporting plate cannot play a role in fixing the mobile phone. The inventors have therefore made further improvements to the above-described support plate structure.
With reference to fig. 8 to 12, the supporting plate 2000 of this embodiment specifically includes a first plate 2100, a second plate 2200, a first connecting plate 2300, a second connecting plate 2400, and a connecting rod 2500, where the first plate 2100, the first connecting plate 2300, the second connecting plate 2400, and the second plate 2200 are sequentially connected to form a plate; the first plate 2100 has a first end and a second end (i.e., an upper end and a lower end in the drawing), the second plate 2200 has a third end and a fourth end (i.e., an upper end and a lower end in the drawing), the link 2500 includes a first rod 2510 and a second rod 2520, two opposite ends of the first rod 2510 are respectively hinged to the first end and the third end, two opposite ends of the second rod 2520 are respectively hinged to the second end and the fourth end, and the first rod 2510 and the second rod 2520 are both disposed on a side of the supporting plate away from the front panel.
It should be noted that the number of the connecting rods 2500 in the embodiment may also be one, two ends of one connecting rod 2500 are respectively connected to the first end and the second end, or two ends of one connecting rod 2500 are respectively connected to the third end and the fourth end, or one end of one connecting rod 2500 is connected to the middle of one side of the first plate 2100, and the other end is connected to the middle of one side of the second plate 2200, at this time, the first connecting plate 2300 and the second connecting plate 2400 are in a split structure, that is, the first connecting plate 2300 and the second connecting plate 2400 are both formed by two plate-shaped members, one plate-shaped member of the first connecting plate 2300 and the second connecting plate 2400 is arranged above one connecting rod 2500, and the other plate-shaped member of the first connecting plate 2300 and the second connecting plate 2400 is arranged below the connecting rod 2500.
Specifically, the first connecting plate 2300 and the second connecting plate 2400 of this embodiment are located between the first plate 2100 and the second plate 2200, one side of the first connecting plate 2300 is hinged to one side of the first plate 2100, one side of the second connecting plate 2400 is hinged to one side of the second plate 2200, and the other side of the first connecting plate 2300 is hinged to the other side of the second connecting plate 2400, wherein the first connecting plate 2300 and the second connecting plate 2400 are disposed on one side of the supporting plate 2000 close to the front panel.
As shown in fig. 9 to 11, the first plate 2100 of the present embodiment is provided with a first portion 2110 arranged in a thickness direction thereof, and the first portion 2110 is located between a hinge of the first plate 2100 and the link 2500 and a hinge of the first plate 2100 and the first link plate 2300; the second plate 2200 is provided with a second portion 2210 disposed in a thickness direction thereof, the second portion 2210 being located between a hinge joint of the second plate 2200 with the link 2500 and a hinge joint of the second plate 2200 with the second connecting plate 2400; the first portion 2110, the second portion 2210, the first connecting plate 2300, the second connecting plate 2400, and the link 2500 form a five-rod mechanism.
The structure forms a five-bar mechanism through the first part 2110, the second part 2210, the first connecting plate 2300, the second connecting plate 2400 and the connecting rod 2500, when the support is needed, the whole support plate 2000 structure is rotated to a certain angle, and because the first bar 2510 and the second bar 2520 are both arranged on the side of the support plate 2000 away from the front panel, and the first connecting plate 2300 and the second connecting plate 2400 are arranged on the side of the support plate 2000 close to the front panel, when the support surface of the support plate 2000 applies a force in the direction away from the front panel, the five-bar mechanism 2500 is in the first dead point position, the first plate 2100, the first connecting plate 2300 and the second connecting plate 2400 cannot rotate, and the dead point position can only be opened by the external force in the direction close to the front panel, so that the support plate 2000 can be guaranteed to be always in a plate structure, and the mobile phone can be stably supported; and when opening the dead point position through the external force to being close to the front panel direction, can fold first plate body and second plate body 2200, first connecting plate 2300 and first connecting plate 2300 rotate to the second dead point position this moment, first connecting plate 2300 and second connecting plate 2400 can form a finger portion of acceping for insert the finger in the finger portion of acceping, can fix the cell-phone on the staff, avoid the user crowd and collide in the use, and cause the cell-phone to fall, the backup pad 2000 of this structure not only plays the supporting role, still plays the fixed action of cell-phone, its functionality has been improved greatly.
It should be noted that, the above-mentioned two components may be hinged together in a manner that one component is provided with a shaft hole, the other component is provided with a rotating shaft matching with the shaft hole, and the rotating shaft and the shaft hole together form a rotating mechanism, so that the two components can rotate relatively.
Advantageously, the first connecting plate 2300 and the second connecting plate 2400 may be made of a material having a certain deformation capability, such as a soft plastic, and when the first connecting plate 2300 and the second connecting plate 2400 form a finger receiving portion, fingers can be inserted into the finger receiving portion to improve comfort.
Referring to fig. 8, the first end, the second end, the third end and the fourth end of the present embodiment are all provided with a recess 2600, two opposite ends of the first rod 2510 are respectively disposed in the recess 2600 of the first end and the recess 2600 of the third end, and two opposite ends of the second rod 2520 are respectively disposed in the recess 2600 of the third end and the recess 2600 of the fourth end.
Above-mentioned structure passes through the depressed part setting with connecting rod 2500 mechanism in the plate body for connecting rod 2500 mechanism and plate body and connecting plate form a plate body structure jointly, have improved whole backup pad 2000's wholeness, the backup pad 2000's of being convenient for installation.
More advantageously, the present embodiment further improves the structure of the recessed area 1100, the recessed area 1100 specifically includes a bottom wall and a side wall, the bottom wall is provided with a ventilation structure 1110, the ventilation structure 1110 may be a plurality of ventilation holes, and the ventilation structure 1110 may also be a ventilation grille provided on the bottom wall. The design of the ventilation holes and the ventilation grille can enhance the heat dissipation effect of the mobile phone when the support plate 2000 is in a support state or a folded state, and further prolong the service life of the mobile phone.
The above-described embodiments of the apparatus are merely illustrative, wherein the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The embodiment of the present invention provides a non-transitory computer-readable storage medium, which stores computer-executable instructions, where the computer-executable instructions, when executed by an electronic device, cause the electronic device to execute the method for optimizing lighting information in any method embodiment described above.
The present invention provides a computer program product, wherein the computer program product comprises a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, wherein the program instructions, when executed by an electronic device, cause the electronic device to perform the method for optimizing lighting information in any of the above method embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions and/or portions thereof that contribute to the prior art may be embodied in the form of a software product that can be stored on a computer-readable storage medium including any mechanism for storing or transmitting information in a form readable by a computer (e.g., a computer). For example, a machine-readable medium includes Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media, optical storage media, flash memory storage media, electrical, optical, acoustical or other form of propagated signals (e.g., carrier waves, infrared signals, digital signals, etc.), and others, and the computer software product includes instructions for causing a computing device (which may be a personal computer, server, or network device, etc.) to perform the methods described in the various embodiments or portions of the embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for optimizing illumination information, comprising:
acquiring a target picture, and decomposing the target picture into a first preset number of sub-pictures; wherein the sub-picture is composed of a second preset number of pixels;
acquiring the geometric center of the sub-picture, determining a light intensity weighting center according to the image moment of the sub-picture, and determining the illumination angle of the sub-picture based on the light intensity weighting center and the geometric center of the sub-picture;
carrying out gray level processing on the sub-picture, and obtaining the illumination intensity of the sub-picture according to the gray level value of each point on the sub-picture;
acquiring an illumination intensity weighted value corresponding to the sub-picture, and acquiring the illumination intensity of the target picture according to the illumination intensity of the sub-picture and the illumination intensity weighted value corresponding to the sub-picture;
and calculating the illumination angle of the sub-picture to obtain the illumination angle of the target picture.
2. The method of claim 1, wherein the performing the gray processing on the sub-picture to obtain the illumination intensity of the sub-picture according to the gray value of each point on the sub-picture comprises:
carrying out gray level processing on the sub-picture, so that each point on the sub-picture only keeps a gray level value of 0-255;
and inputting the gray value of each point on the sub-picture into a pre-trained illumination intensity model to obtain the illumination intensity of the sub-picture.
3. The method according to claim 2, wherein the obtaining the illumination intensity value corresponding to the sub-picture comprises:
acquiring the position coordinates of the sub-picture in the target picture;
and determining the illumination intensity weight value corresponding to the sub-picture according to the position coordinate of the sub-picture and the size of the sub-picture.
4. The method according to any one of claims 1 to 3, wherein the step of calculating the illumination angle of the sub-picture to obtain the illumination angle corresponding to the target picture comprises:
judging whether the size of the sub-picture is smaller than a preset threshold value or not;
and if the illumination angle of the target picture is smaller than the preset threshold, summing the vectors of the illumination angles of the sub-pictures to obtain the illumination angle of the target picture.
5. The method according to any one of claims 1 to 3, wherein the step of calculating the illumination angle of the sub-picture to obtain the illumination angle corresponding to the target picture comprises:
determining the illumination angle weight value corresponding to each sub-picture;
and carrying out weighted summation on the vectors of the illumination angles of the sub-pictures according to the illumination angle weight values, and calculating to obtain the illumination angle of the target picture.
6. An apparatus for optimizing illumination information, comprising:
the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a target picture and decomposing the target picture into a first preset number of sub-pictures; wherein the sub-picture is composed of a second preset number of pixels;
the determining module is used for acquiring the geometric center of the sub-picture, determining a light intensity weighting center according to the image moment of the sub-picture, and determining the illumination angle of the sub-picture based on the light intensity weighting center and the geometric center of the sub-picture;
the processing module is used for carrying out gray processing on the sub-picture and obtaining the illumination intensity of the sub-picture according to the gray value of each point on the sub-picture;
the first calculation module is used for acquiring the illumination intensity weighted value corresponding to the sub-picture and obtaining the illumination intensity of the target picture according to the illumination intensity of the sub-picture and the illumination intensity weighted value corresponding to the sub-picture;
and the second calculation module is used for calculating the illumination angle of the sub-picture to obtain the illumination angle of the target picture.
7. The apparatus of claim 6, wherein the processing module is specifically configured to,
carrying out gray level processing on the sub-picture, so that each point on the sub-picture only keeps a gray level value of 0-255; and inputting the gray value of each point on the sub-picture into a pre-trained illumination intensity model to obtain the illumination intensity of the sub-picture.
8. The apparatus of claim 7, wherein the first computing module comprises:
the acquisition unit is used for acquiring the position coordinates of the sub-picture in the target picture;
and the determining unit is used for determining the illumination intensity weight value corresponding to the sub-picture according to the position coordinate of the sub-picture and the size of the sub-picture.
9. The apparatus of any of claims 6-8, wherein the first computing module further comprises:
the judging unit is used for judging whether the size of the sub-picture is smaller than a preset threshold value or not;
and the summing unit is used for summing the vectors of the illumination angles of the sub-pictures to obtain the illumination angle of the target picture if the sum is smaller than a preset threshold value.
10. An electronic device, comprising: at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of optimizing lighting information of any one of claims 1 to 5.
CN201810914867.6A 2018-07-23 2018-08-13 Illumination information optimization method and device and electronic equipment Active CN108965535B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CNPCT/CN2018/096694 2018-07-23
PCT/CN2018/096694 WO2020019134A1 (en) 2018-07-23 2018-07-23 Illumination information optimization method and apparatus, and electronic device

Publications (2)

Publication Number Publication Date
CN108965535A CN108965535A (en) 2018-12-07
CN108965535B true CN108965535B (en) 2020-05-26

Family

ID=64469553

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810914867.6A Active CN108965535B (en) 2018-07-23 2018-08-13 Illumination information optimization method and device and electronic equipment

Country Status (2)

Country Link
CN (1) CN108965535B (en)
WO (1) WO2020019134A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110288692B (en) 2019-05-17 2021-05-11 腾讯科技(深圳)有限公司 Illumination rendering method and device, storage medium and electronic device

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2237189B1 (en) * 2005-01-27 2018-08-01 Cambridge Research & Instrumentation, Inc. Classifying image features
JP2010134654A (en) * 2008-12-03 2010-06-17 Oki Semiconductor Co Ltd Image rendering processing apparatus
US9587804B2 (en) * 2012-05-07 2017-03-07 Chia Ming Chen Light control systems and methods
CN106550521B (en) * 2015-09-23 2019-08-09 阿里巴巴集团控股有限公司 A kind of determination method and device of lighting angle
CN105469357B (en) * 2015-11-27 2018-09-14 努比亚技术有限公司 Image processing method, device and terminal
CN106469439A (en) * 2016-08-30 2017-03-01 乐视控股(北京)有限公司 The processing method and processing device of picture in a kind of Night
US10489975B2 (en) * 2017-01-04 2019-11-26 Daqri, Llc Environmental mapping system
CN108122155B (en) * 2017-09-30 2022-03-18 苏州美房云客软件科技股份有限公司 Storage device, processing device and scene model rendering method of virtual room selection system
CN107948617B (en) * 2017-12-06 2021-03-02 Oppo广东移动通信有限公司 Image processing method, image processing device, computer-readable storage medium and computer equipment

Also Published As

Publication number Publication date
WO2020019134A1 (en) 2020-01-30
CN108965535A (en) 2018-12-07

Similar Documents

Publication Publication Date Title
US11270419B2 (en) Augmented reality scenario generation method, apparatus, system, and device
CN111556278B (en) Video processing method, video display device and storage medium
CN106797460B (en) The reconstruction of 3 D video
WO2020029178A1 (en) Light and shadow rendering method and device for virtual object in panoramic video, and electronic apparatus
CN109618090A (en) To the method and system of the image distortion correction by using wide-angle lens captured image
CN107566730B (en) A kind of panoramic picture image pickup method and mobile terminal
CN107871339B (en) Rendering method and device for color effect of virtual object in video
WO2020019132A1 (en) Method and apparatus for rendering virtual object on the basis of light information, and electronic device
CN106255990B (en) Image for camera array is focused again
CN110930329B (en) Star image processing method and device
CN107749075B (en) Method and device for generating shadow effect of virtual object in video
CN103155000B (en) Image processing apparatus, image processing method and computer readable recording medium storing program for performing
WO2020019133A1 (en) Method and device for determining shadow effect and electronic device
CN112927349A (en) Three-dimensional virtual special effect generation method and device, computer equipment and storage medium
CN108986117B (en) Video image segmentation method and device
WO2020056692A1 (en) Information interaction method and apparatus, and electronic device
CN111915481A (en) Image processing method, image processing apparatus, electronic device, and medium
CN109218615A (en) Image taking householder method, device, terminal and storage medium
CN108965535B (en) Illumination information optimization method and device and electronic equipment
CN106530408A (en) Museum temporary exhibition planning and design system
CN109474801B (en) Interactive object generation method and device and electronic equipment
CN110309721A (en) Method for processing video frequency, terminal and storage medium
CN109005362B (en) Light ray information determination method and device and electronic equipment
WO2023226628A1 (en) Image display method and apparatus, and electronic device and storage medium
CN209545643U (en) Electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant