CN115329438B - Scene space light distribution method, computer equipment and medium - Google Patents
Scene space light distribution method, computer equipment and medium Download PDFInfo
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Abstract
A method, apparatus, computer device, computer readable storage medium and computer program product for distributing light for a scene space are provided. The method comprises the following steps: for each first function room included in the scene space, acquiring space data among the first functions, wherein the space data comprises information describing the plane shape and the area among the first functions; determining a spatial type between the first functions based on the spatial data between the first functions, the spatial type identifying shape attributes and area attributes between the first functions; and determining at least one light distribution position between the first functions by using a preset rule corresponding to the space type between the first functions.
Description
Technical Field
The present disclosure relates to the field of indoor design technology, and in particular, to a scene space light distribution method, apparatus, computer device, computer readable storage medium, and computer program product.
Background
In the design process of indoor space, a three-dimensional scene is generally required to be utilized to show the design effect. By arranging the light source at the proper position in the scene space, the effect of scene space display can be improved, so that the displayed scene is more close to the visual effect in practice, and the user experience is improved.
The approaches described in this section are not necessarily approaches that have been previously conceived or pursued. Unless otherwise indicated, it should not be assumed that any of the approaches described in this section qualify as prior art merely by virtue of their inclusion in this section. Similarly, the problems mentioned in this section should not be considered as having been recognized in any prior art unless otherwise indicated.
Disclosure of Invention
It would be advantageous to provide a mechanism that alleviates, mitigates or even eliminates one or more of the above problems.
According to an aspect of the present disclosure, there is provided a light distribution method of a scene space, the scene space including at least one first functional room, the method including: for each first inter-function, acquiring spatial data between the first functions, the spatial data including information describing a planar shape and an area between the first functions; determining a spatial type between the first functions based on the spatial data between the first functions, the spatial type identifying shape attributes and area attributes between the first functions; and determining at least one light distribution position between the first functions by using a preset rule corresponding to the space type between the first functions.
According to an aspect of the present disclosure, there is provided a light distribution device for a scene space, the scene space including at least one first functional room, the device comprising: an acquisition module configured to acquire, for each first inter-function, spatial data between the first functions, the spatial data including information describing a planar shape and an area between the first functions; a first determination module configured to determine a type of space between the first functions based on the spatial data between the first functions, the type of space identifying shape attributes and area attributes between the first functions; and the second determining module is configured to determine at least one light distribution position between the first functions by using a preset rule corresponding to the space type between the first functions.
According to an aspect of the present disclosure, there is provided a computer apparatus including: at least one processor; and at least one memory having a computer program stored thereon, wherein the computer program, when executed by the at least one processor, causes the at least one processor to perform the above-described method.
According to an aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform the above-described method.
According to an aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, causes the processor to perform the above method.
These and other aspects of the disclosure will be apparent from and elucidated with reference to the embodiments described hereinafter.
Drawings
Further details, features and advantages of the present disclosure are disclosed in the following description of exemplary embodiments, with reference to the following drawings, wherein:
FIG. 1 is a schematic diagram illustrating an example system in which various methods described herein may be implemented, according to an example embodiment;
FIG. 2 is a flow chart illustrating a method of lighting a scene space;
FIG. 3 is a partial example process diagram illustrating a method of light distribution between first functions in a scene space;
FIG. 4 is a schematic diagram illustrating the flow of fabric between a second function in a scene space;
FIG. 5 is a block diagram illustrating a structure of a light distribution device of a scene space;
fig. 6 is a block diagram illustrating an exemplary computer device that can be applied to exemplary embodiments.
Detailed Description
In the present disclosure, the use of the terms "first," "second," and the like to describe various elements is not intended to limit the positional relationship, timing relationship, or importance relationship of the elements, unless otherwise indicated, and such terms are merely used to distinguish one element from another. In some examples, a first element and a second element may refer to the same instance of the element, and in some cases, they may also refer to different instances based on the description of the context.
The terminology used in the description of the various illustrated examples in this disclosure is for the purpose of describing particular examples only and is not intended to be limiting. Unless the context clearly indicates otherwise, the elements may be one or more if the number of the elements is not specifically limited. As used herein, the term "plurality" means two or more, and the term "based on" should be interpreted as "based at least in part on". Furthermore, the term "and/or" and "at least one of … …" encompasses any and all possible combinations of the listed items.
In the related art, one way is to manually perform light distribution in a scene space, which has high labor cost and low efficiency. Another way is to manually set a certain light distribution rule, and determine the light distribution position for each room in the scene space based on the preset light distribution rule. However, the rule set manually is relatively simple, and the different characteristics of different types of rooms cannot be considered, so that the light distribution effect is poor.
Based on the above, the present disclosure provides a light distribution method for a scene space, which uses spatial data between functions in the scene space to perform spatial classification, determines a corresponding preset light distribution rule according to a spatial type between each function, performs light distribution based on the corresponding preset light distribution rule, considers adaptation of the light distribution rule and the spatial type, and can improve light distribution effect.
Exemplary embodiments of the present disclosure are described in detail below with reference to the attached drawings.
FIG. 1 is a schematic diagram illustrating an example system 100 in which various methods described herein may be implemented, according to an example embodiment.
Referring to fig. 1, the system 100 includes a client device 110, a server 120, and a network 130 communicatively coupling the client device 110 with the server 120.
Examples of network 130 include a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), and/or a combination of communication networks such as the internet. The network 130 may be a wired or wireless network. In some embodiments, the data exchanged over the network 130 is processed using techniques and/or formats including hypertext markup language (HTML), extensible markup language (XML), and the like. In addition, all or some of the links may also be encrypted using encryption techniques such as Secure Sockets Layer (SSL), transport Layer Security (TLS), private network (VPN), internet protocol security (IPsec), and the like. In some embodiments, custom and/or dedicated data communication techniques may also be used in place of or in addition to the data communication techniques described above.
For purposes of embodiments of the present disclosure, in the example of fig. 1, client application 112 may be an application for exposing a scene space that may expose various types of scene spaces, such as a residence, store, etc. Accordingly, the server 120 may be a server for use with an application for exposing scene space. The server 120 may flood the scene space to provide the flood scene space to the client application 112 running in the client device 110 for presentation.
Fig. 2 is a flowchart illustrating a light distribution method 200 of a scene space according to an example embodiment.
The method 200 may be performed at a client device (e.g., the client device 110 shown in fig. 1), i.e., the subject of execution of the steps of the method 200 may be the client device 110 shown in fig. 1. In some embodiments, the method 200 may be performed at a server (e.g., the server 120 shown in fig. 1). In some embodiments, the method 200 may be performed by a client device (e.g., the client device 110) and a server (e.g., the server 120) in combination. Hereinafter, each step of the method 200 will be described in detail taking the execution subject as the client device 110 as an example.
Referring to fig. 2, the scene space includes at least one first functional compartment, and the method 200 includes steps 210 to 230.
Therefore, the plane shape and the area information of each function can be classified, the light distribution position of each function can be determined according to the preset light distribution rule corresponding to the space type of each function, the light distribution position can be matched with the space type of each function, and the light distribution effect is improved.
In some embodiments, the scene space is a virtual scene space. The scene space may also be a real scene space, which is not limited.
According to some embodiments, the at least one first functional compartment is a bedroom. Therefore, light distribution can be performed among the functions with a large number in the scene space, and the light distribution efficiency is improved. The first functional room may be of other types, such as a study room, an entertainment room, etc., which is not limited thereto.
In one example, the spatial data of the scene space may be json data, which may include, for example, vertex coordinates, wall line coordinates, door coordinates and orientation information, furniture coordinates and orientation information, window coordinates and orientation information, and the like, under a predetermined coordinate system, between each function. In some examples, the coordinate and orientation data of the objects, such as walls, doors, furniture, windows, etc., included in each functional room may be individually packaged into respective classes, and then the corresponding spatial data between each functional room may be individually packaged. And traversing the space data of the scene space, namely traversing and extracting class information among all functions included in the space data, and obtaining the space data among all functions.
According to some embodiments, the spatial data includes vertex coordinates of the planar shape of the first inter-function under a predetermined coordinate system, and determining the type of space between the first functions based on the spatial data between the first functions in step 220 includes:
step 221, determining the coordinates of the central point of the area between the first functions and the planar shape between the first functions under the predetermined coordinate system based on at least the coordinates of the vertices between the first functions;
Step 222, determining shape attributes between the first functions based on the vertex coordinates and the center point coordinates between the first functions;
step 223, determining an area attribute between the first functions based on the area between the first functions;
step 224, determining the space type between the first functions based on the shape attribute and the area attribute between the first functions.
Therefore, the vertex coordinates of the plane shapes among the first functions can be utilized to determine the center point coordinates of the plane shapes, and further the shape attributes among the first functions can be determined more accurately, so that the accuracy of the determined space types is improved.
In some examples, step 221 may be implemented using existing tools, for example, the vertex coordinates between the first functions may be entered into a shape library to obtain the area between the first functions and the center point coordinates between the first functions. In some examples, a preconfigured formula may be used to calculate based on the vertex coordinates between the first functions, so as to obtain the area between the first functions and the center point coordinates between the first functions.
In one example, the coordinates of the area and the center point between the first functions may be more precisely determined, further in combination with other data. For example, when the outline of the planar shape between the first functions is an arc, the coordinates of the area and the center point between the first functions may be determined based on the vertex coordinates and the wall line coordinates between the first functions.
According to some embodiments, the shape attribute indicates whether the first inter-function is a regular shape space, and determining the shape attribute between the first functions based on the vertex coordinates and the center point coordinates of the first inter-function in step 222 includes: determining the distance between each vertex coordinate and the center point coordinate; determining that the first functional space is a regular-shape space in response to determining that the variance of the distances between each vertex coordinate and the center point coordinates is not greater than a first preset threshold; and determining that the first function space is an irregularly-shaped space in response to determining that the variance of the distances between the vertex coordinates and the center point coordinates is greater than a first preset threshold.
Thus, it is possible to efficiently and accurately indicate whether or not the first functional space is a regular-shape space by using the variance of the distance between each vertex and the center point between the functions. In some examples, it may also be determined by way of whether the first inter-function space is a regularly shaped space. For example, after determining the distances between the vertex coordinates and the center point coordinates, determining that the first function space is a regular-shape space in response to determining that the polar differences of the distances between the vertex coordinates and the center point coordinates are not greater than a preset threshold.
According to some embodiments, the area attribute indicates whether the first inter-function is a small area space or a large area space, and determining the area attribute between the first functions based on the area between the first functions in the step 223 includes:
determining that the first functions are small-area spaces in response to determining that the areas between the first functions are not greater than a second preset threshold;
and determining that the first functions are large-area spaces in response to determining that the areas between the first functions are greater than a second preset threshold.
Thus, the relative magnitude relation between the area between the functions and the preset threshold value can be utilized to indicate the area attribute between the first functions. It should be appreciated that the spatial attributes between the first functions may cover multiple dimensions, based on which they may be divided into multiple different spatial types, or further the spatial types may be more finely divided for combinations of spatial attributes of different dimensions between the first functions, which is not limiting to the present disclosure.
Fig. 3 is a partial example process diagram illustrating a light distribution method between first functions in a scene space.
As shown in fig. 3, the step 220 of determining the spatial type between the first functions based on the spatial data between the first functions may be implemented by using the following steps:
Step 301, determining the area between the first functions and the coordinates of the central point of the planar shape between the first functions under a preset coordinate system;
step 302, determining the distance between each vertex coordinate among the first functions and the center point coordinate respectively;
step 303, determining the variance of the distance between each vertex coordinate and the center point coordinate;
step 304, judging whether the variance is larger than a first preset threshold value;
responsive to determining that the variance is greater than a first preset threshold, performing step 305 to determine whether the area is greater than a second preset threshold; further, in response to determining that the area is greater than a second preset threshold, performing step 307 to determine that the first inter-function space is a large-area irregularly-shaped space; responsive to determining that the area is not greater than a second preset threshold, performing step 308 of determining that the first inter-function space is a small-area irregularly-shaped space;
responsive to determining that the variance is not greater than a first preset threshold, performing step 306, determining whether the area is greater than a second preset threshold; further, in response to determining that the area is not greater than a second preset threshold, performing step 309 to determine that the first inter-function space is a small-area regular-shape space; in response to determining that the area is greater than the second preset threshold, step 310 is performed to determine that the first inter-function space is a large area regular shape space.
As described previously, the spatial data between the first functions may include coordinate and orientation information of the furniture, where the furniture may include various light fixtures. By utilizing the position information of the main lamp, the light distribution position in the first function room can be determined more simply and efficiently.
Based on this, in some embodiments, the spatial data further includes information describing the presence and location of the master lights in the first inter-function, and the spatial type between the first functions is one of: small-area regular-shape space, small-area irregular-shape space, large-area regular-shape space, and large-area irregular-shape space.
On this basis, according to some embodiments, the determining at least one light distribution position between the first functions in step 230 using a preset rule corresponding to the space type between the first functions includes: responsive to determining that the first functional space is a small-area regular-shape space or a small-area irregular-shape space, determining whether a primary luminaire is present in the first functional space based on the spatial data; in response to determining that a primary luminaire exists in the first functional room, determining a set height position at the position of the primary luminaire as a light distribution position of the first functional room; and in response to determining that the main lamp does not exist in the first functional room, determining the set height position at the central point coordinate as the light distribution position of the first functional room. For the first function space with the space type of a small-area regular-shape space or a small-area irregular-shape space, the light distribution position can be determined by utilizing a preset rule because the area of the first function space is smaller, so that the illumination requirement can be met.
In some examples, the determining the set height position at the position of the primary luminaire as the position of the first inter-function light distribution may include: and determining the height position 20cm below the position of the main lamp as the light distribution position between the first functions. In some examples, the determining the set height position at the center point coordinate as the position of the first inter-function light distribution may include: a height position of 0.7H (where h=height between the first functions) at the center point coordinates is determined as a light distribution position between the first functions. It should be appreciated that the specific parameters in the above examples are flexibly adjustable according to the requirements of the actual application scenario, which is not limited by the present disclosure.
According to some embodiments, the spatial data further includes information describing a position and an orientation of a door between the first functions, and determining at least one light distribution position between the first functions in step 230 using a preset rule corresponding to a spatial type between the first functions includes: determining whether a primary luminaire exists in the first room based on the spatial data in response to the type of space between the first functions being a large-area regularly-shaped space; in response to determining that a primary luminaire exists in the first functional room, determining a set height position at the position of the primary luminaire as a light distribution position of the first functional room; responsive to determining that no primary luminaire exists in the first functional room, determining a set height position at the center point coordinates as a light distribution position in the first functional room; a set height position at a set distance from the position of the door in the direction of orientation of the door is determined as an additional light distribution position between the first functions. For a first function room with a large-area regular-shape space, one light distribution position cannot meet the illumination requirement due to the large area of the first function room. By utilizing the position and orientation information of the door in the first functional room, the additional light distribution position can be determined at the preset position of the doorway so as to realize proper illumination of the first functional room.
In some examples, the additional light distribution position may be determined using the following formula:
the distance is the distance between the coordinates of the door and the coordinates of the center point, and θ is a preset parameter, and the distance between the additional light distribution position and the door can be adjusted by adjusting the value of θ, so as to achieve a better visual effect.
According to some embodiments, determining at least one light distribution position between the first functions in step 230 using a preset rule corresponding to a type of space between the first functions includes: determining whether a primary luminaire exists in the first room based on the spatial data in response to the type of space between the first functions being a large-area irregularly-shaped space; in response to determining that a plurality of primary luminaires are present in the first functional room, the set height positions at the respective positions of the plurality of primary luminaires are each determined as a light distribution position in the first functional room. Therefore, the position information of the main lamp in the first functional room can be utilized to more simply and efficiently determine a plurality of light distribution positions in the first functional room.
Further, according to some embodiments, the determining at least one light distribution position between the first functions in step 230 using a preset rule corresponding to a space type between the first functions further includes: in response to determining that one primary luminaire exists in the first functional room, determining a set height position at a position of the one primary luminaire as a first light distribution position between the first functional room; responsive to determining that no primary luminaire exists in the first functional room, determining a set height position at the center point coordinates as a first light distribution position in the first functional room; an additional second light distribution position is determined for the first functional space. Therefore, the first light distribution position in the first functional room can be determined by utilizing the position information of the main lamp in the first functional room, and the lighting requirement of the first functional room with a larger area can be met by determining the additional second light distribution position.
According to some embodiments, said determining an additional second light distribution position for the first functional compartment comprises: determining a minimum rectangle containing the planar shape between the first functions according to the vertex coordinates between the first functions; determining at least one concave point from each vertex coordinate among the first functions, wherein the at least one concave point is positioned inside the minimum rectangle; selecting a concave point which is closest to the first light distribution position from the at least one concave point; dividing the planar shape between the first functions into a first part and a second part by a dividing line passing through the nearest concave point, wherein the first part comprises the first light distribution position, and the second part does not comprise the first light distribution position; determining a center point of the second portion; a set height position at a center point of the second portion is determined as the second light distribution position between the first functions. Therefore, the planar shape between the first functions can be divided into different parts, and light distribution is performed by utilizing a preset rule, so that each part comprises a light distribution position, and the lighting requirement between the first functions with larger area is met.
It should be appreciated that other types of inter-functional spaces may also be included in the scene space. In some embodiments, the scene space further includes a second inter-function different from the at least one first inter-function, and the method 200 further includes: and determining at least one light distribution position between the second functions by utilizing a rule different from a preset rule between the first functions. Therefore, different preset rules can be utilized to distribute light among different types of functions, so that the light distribution position can be matched with the type among each function, and the light distribution effect is improved.
According to some embodiments, the second room is a living room, and the determining at least one light distribution position between the second rooms includes: acquiring space data among the second functions, wherein the space data comprises vertex coordinates and wall line coordinates of the plane shape among the second functions under a preset coordinate system and area information among the second functions; acquiring position information of a plurality of random points in the second function room based on the vertex coordinates and the wall line coordinates of the second function room; clustering the plurality of random points based on the distance between any two random points in the plurality of random points to obtain a plurality of clusters and cluster centers, wherein the quotient of the area between the second functions and the number of the plurality of clusters is not smaller than a third preset threshold; and determining at least one light distribution position among the second functions based on the positions of the centers of the plurality of clusters.
Generally, the living room has a large area and a complex shape. Therefore, it is necessary to divide the living room into a plurality of areas according to the geometry of the living room, and determine the light distribution position of each area to meet the illumination requirement of the living room. By utilizing the embodiment, the area division problem of the plane shape among the second functions can be converted into the clustering problem aiming at a plurality of random points in the plane shape, so that the area division aiming at the second functions is efficiently and accurately realized, and the light distribution effect is improved based on the area division.
In some examples, when the plurality of random points are clustered using a clustering algorithm, the clustering effect can be improved by pre-specifying the number of the plurality of clusters. In an example, the number of clusters may be determined according to the area between the second functions, so as to ensure that the area of the area corresponding to each cluster meets the requirement, that is, the area of the illumination area corresponding to each light distribution position meets the requirement, so as to improve the light distribution effect.
In some examples, the obtaining location information for a plurality of random points in the second functional compartment may include: determining a minimum rectangle containing the planar shape between the second functions according to the vertex coordinates between the second functions; acquiring position information of a plurality of initial random points in the minimum rectangle; for each initial random point of the plurality of initial random points, determining whether the initial random point is in the second function room based on the vertex coordinates and the wall line coordinates between the second functions.
According to some embodiments, the clustering the plurality of random points comprises: based on the distance between any two random points in the plurality of random points, clustering the plurality of random points by using a K-means clustering algorithm to obtain a plurality of cluster centers. In one example, the plurality of random points may be clustered by using other manners based on a distance between any two random points in the plurality of random points, so long as a distance between random points in each cluster in the obtained plurality of clusters is relatively short, and a distance between random points in different clusters is relatively long, which is not limited.
According to some embodiments, the determining at least one light distribution position between the second functions based on the position information of the plurality of cluster centers comprises: adjusting at least one cluster center in the plurality of cluster centers by using a preset rule to obtain at least one cluster center after adjustment; and determining the position of the center of the at least one cluster after adjustment as at least one light distribution position among the second functions. It should be understood that the plurality of cluster centers obtained by the unsupervised clustering method have certain randomness, cannot fully meet the requirements of actual application scenes, and the light distribution effect can be further improved by adjusting the plurality of cluster centers and distributing light based on the plurality of cluster centers.
According to some embodiments, the adjusting at least one cluster center of the plurality of cluster centers using a preset rule comprises: deleting the centers of any two clusters in response to the distance between the centers of the two clusters being smaller than a fourth preset threshold; determining a new cluster center based on the positions of a plurality of random points included in the clusters corresponding to the deleted two cluster centers; and adding the new cluster center. When the distance between the centers of any two clusters is too short, the determined light distribution position is too short based on the distance, and the two clusters are combined to further determine the new cluster center again, so that the light distribution position can meet the requirements of actual application scenes.
According to some embodiments, the spatial data between the second functions further includes coordinates of a center point between the second functions, and the adjusting at least one cluster center of the plurality of cluster centers using a preset rule includes: and responding to the fact that the distance between any cluster center and the wall line between the second functions is smaller than a fifth preset threshold value, and moving the cluster center towards the direction of the center point between the second functions. When the distance between the center of any cluster and the wall line is too short, the light distribution position determined based on the distance is too short to the wall surface, and the illumination effect is poor. The illumination effect can be improved by adjusting the preset rule.
FIG. 4 is a schematic diagram illustrating the flow of fabric between second functions in a scene space.
As shown in fig. 4, the determining at least one light distribution position between the second functions may be implemented by using the following steps:
and step 404, determining the adjusted position of the center of the at least one cluster as at least one light distribution position between the second functions.
After indoor light distribution is completed between the first function room and the second function room in the scene space, the natural light distribution position can be determined, so that the light distribution effect is further improved.
According to some embodiments, the first inter-function spatial data further includes position and orientation information of windows between the first functions, the second inter-function spatial data includes position and orientation information of windows between the second functions, and the method 200 further includes: determining a set height position at a set distance from a position of the window between the first functions in a direction opposite to a direction of the window between the first functions as a natural light distribution position between the first functions; and determining a set height position at a set distance from the position of the window between the second functions along the opposite direction of the window between the second functions as a natural light distribution position between the second functions.
In an example, the direction of the window may refer to a vertical direction between the center of the window and the inner wall surface between functions, and the irradiation angle of the natural light may be adjusted by adjusting the set distance and the set height, so as to improve the irradiation effect of the natural light. Further, the light intensity of the natural light can be adjusted by using a preset rule, for example, the light intensity of the natural light can be expressed by a normal function, so that the natural light is closer to a visual effect in reality.
According to another aspect of the present disclosure, there is also provided a light distribution device for a scene space. Fig. 5 is a block diagram illustrating a structure of a light distribution device 500 of a scene space. As shown in fig. 5, the apparatus 500 includes:
an acquisition module 510 configured to acquire, for each first inter-function, spatial data between the first functions, the spatial data including information describing a planar shape and an area between the first functions;
a first determining module 520 configured to determine a type of space between the first functions based on the spatial data between the first functions, the type of space identifying shape attributes and area attributes between the first functions;
a second determining module 530 configured to determine at least one light distribution position between the first functions using a preset rule corresponding to a type of space between the first functions.
It should be appreciated that the various modules of the apparatus 500 shown in fig. 5 may correspond to the various steps in the method 200 described with reference to fig. 2. Thus, the operations, features, and advantages described above with respect to method 200 are equally applicable to apparatus 500 and the modules that it comprises. For brevity, certain operations, features and advantages are not described in detail herein.
Although specific functions are discussed above with reference to specific modules, it should be noted that the functions of the various modules discussed herein may be divided into multiple modules and/or at least some of the functions of the multiple modules may be combined into a single module. The particular module performing the actions discussed herein includes the particular module itself performing the actions, or alternatively the particular module invoking or otherwise accessing another component or module that performs the actions (or performs the actions in conjunction with the particular module). Thus, a particular module that performs an action may include that particular module itself that performs the action and/or another module that the particular module invokes or otherwise accesses that performs the action. For example, the acquisition module 510 and the first determination module 520 may be combined into a single module in some embodiments. For another example, the first determination module 520 may include the acquisition module 510 in some embodiments. As used herein, the phrase "entity a initiates action B" may refer to entity a issuing an instruction to perform action B, but entity a itself does not necessarily perform that action B.
It should also be appreciated that various techniques may be described herein in the general context of software hardware elements or program modules. The various modules described above with respect to fig. 5 may be implemented in hardware or in hardware in combination with software and/or firmware. For example, the modules may be implemented as computer program code/instructions configured to be executed in one or more processors and stored in a computer-readable storage medium. Alternatively, these modules may be implemented as hardware logic/circuitry. For example, in some embodiments, one or more of the acquisition module 510, the first determination module 520, and the second determination module 530 may be implemented together in a System on Chip (SoC). The SoC may include an integrated circuit chip including one or more components of a processor (e.g., a central processing unit (Central Processing Unit, CPU), microcontroller, microprocessor, digital signal processor (Digital Signal Processor, DSP), etc.), memory, one or more communication interfaces, and/or other circuitry, and may optionally execute received program code and/or include embedded firmware to perform functions.
According to an aspect of the present disclosure, a computer device is provided that includes a memory, a processor, and a computer program stored on the memory. The computer program, when executed by a processor, causes the processor to execute the computer program to perform the steps of any of the method embodiments described above.
According to an aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of any of the method embodiments described above.
According to an aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the steps of any of the method embodiments described above.
Illustrative examples of such computer devices, non-transitory computer readable storage media, and computer program products are described below in connection with fig. 6.
Fig. 6 illustrates an example configuration of a computer device 600 that may be used to implement the methods described herein. For example, the server 120 and/or client device 110 shown in fig. 1 may include an architecture similar to that of the computer device 600. The above-described light distribution means 500 of the scene space may also be implemented wholly or at least partly by a computer device 600 or a similar device or system.
The computer device 600 may be a variety of different types of devices. Examples of computer device 600 include, but are not limited to: a desktop, server, notebook, or netbook computer, a mobile device (e.g., tablet, cellular, or other wireless telephone (e.g., smart phone), notepad computer, mobile station), a wearable device (e.g., glasses, watch), an entertainment appliance (e.g., an entertainment appliance, a set-top box communicatively coupled to a display device, a gaming machine), a television or other display device, an automotive computer, and so forth.
The processor 602 may be a single processing unit or multiple processing units, all of which may include a single or multiple computing units or multiple cores. The processor 602 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions. The processor 602 may be configured to, among other capabilities, obtain and execute computer-readable instructions stored in the memory 604, mass storage device 612, or other computer-readable medium, such as program code for the operating system 616, program code for the application programs 618, program code for the other programs 620, and so forth.
Memory 604 and mass storage device 612 are examples of computer-readable storage media for storing instructions that are executed by processor 602 to implement the various functions as previously described. For example, memory 604 may generally include both volatile memory and nonvolatile memory (e.g., RAM, ROM, etc.). In addition, mass storage device 612 may generally include hard disk drives, solid state drives, removable media, including external and removable drives, memory cards, flash memory, floppy disks, optical disks (e.g., CD, DVD), storage arrays, network attached storage, storage area networks, and the like. Memory 604 and mass storage device 612 may both be referred to herein collectively as memory or a computer-readable storage medium, and may be non-transitory media capable of storing computer-readable, processor-executable program instructions as computer program code that may be executed by processor 602 as a particular machine configured to implement the operations and functions described in the examples herein.
A number of programs may be stored on the mass storage device 612. These programs include an operating system 616, one or more application programs 618, other programs 620, and program data 622, and may be loaded into the memory 604 for execution. Examples of such application programs or program modules may include, for example, computer program logic (e.g., computer program code or instructions) for implementing the following components/functions: client application 112, method 200, and/or method 400 (including any suitable steps of methods 200, 400), and/or additional embodiments described herein.
Although illustrated in fig. 6 as being stored in memory 604 of computer device 600, modules 616, 618, 620, and 622, or portions thereof, may be implemented using any form of computer-readable media accessible by computer device 600. As used herein, "computer-readable medium" includes at least two types of computer-readable media, namely computer-readable storage media and communication media.
Computer-readable storage media include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. Computer-readable storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD), or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information for access by a computer device. In contrast, communication media may embody computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism. Computer-readable storage media as defined herein do not include communication media.
One or more communication interfaces 606 are used to exchange data with other devices, such as via a network, direct connection, or the like. Such communication interfaces may be one or more of the following: any type of network interface (e.g., a Network Interface Card (NIC)), a wired or wireless (such as IEEE 802.11 Wireless LAN (WLAN)) wireless interface, a worldwide interoperability for microwave access (Wi-MAX) interface, an ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, bluetooth, etc TM An interface, a Near Field Communication (NFC) interface, etc. Communication interface 606 may facilitate communication among a variety of network and protocol typesCommunication, including wired networks (e.g., LAN, cable, etc.) and wireless networks (e.g., WLAN, cellular, satellite, etc.), the internet, etc. Communication interface 606 may also provide for communication with external storage devices (not shown) such as in a storage array, network attached storage, storage area network, or the like.
In some examples, a display device 608, such as a monitor, may be included for displaying information and images to a user. Other I/O devices 610 may be devices that receive various inputs from a user and provide various outputs to the user, and may include touch input devices, gesture input devices, cameras, keyboards, remote controls, mice, printers, audio input/output devices, and so on.
The techniques described herein may be supported by these various configurations of computer device 600 and are not limited to the specific examples of techniques described herein. For example, this functionality may also be implemented in whole or in part on a "cloud" using a distributed system. The cloud includes and/or represents a platform for the resource. The platform abstracts underlying functionality of hardware (e.g., servers) and software resources of the cloud. Resources may include applications and/or data that may be used when performing computing processes on servers remote from computer device 600. Resources may also include services provided over the internet and/or over subscriber networks such as cellular or Wi-Fi networks. The platform may abstract resources and functions to connect the computer device 600 with other computer devices. Thus, implementations of the functionality described herein may be distributed throughout the cloud. For example, the functionality may be implemented in part on computer device 600 and in part by a platform that abstracts the functionality of the cloud.
While the disclosure has been illustrated and described in detail in the drawings and foregoing description, such illustration and description are to be considered illustrative and schematic and not restrictive; the present disclosure is not limited to the disclosed embodiments. Variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed subject matter, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps than those listed and the indefinite article "a" or "an" does not exclude a plurality, the term "a" or "an" means two or more, and the term "based on" is to be interpreted as "based at least in part on". The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
In some examples, the at least one first functional compartment is a bedroom.
In some examples, the scene space further includes a second inter-function different from the at least one first inter-function, and the method further includes: and determining at least one light distribution position between the second functions by utilizing a rule different from a preset rule between the first functions.
In some examples, the second room is a living room, and the determining at least one light distribution location between the second functions includes: acquiring space data among the second functions, wherein the space data comprises vertex coordinates and wall line coordinates of the plane shape among the second functions under a preset coordinate system and area information among the second functions; acquiring position information of a plurality of random points in the second function room based on the vertex coordinates and the wall line coordinates of the second function room; clustering the plurality of random points based on the distance between any two random points in the plurality of random points to obtain a plurality of clusters and cluster centers, wherein the quotient of the area between the second functions and the number of the plurality of clusters is not smaller than a third preset threshold; and determining at least one light distribution position among the second functions based on the positions of the centers of the plurality of clusters.
In some examples, the clustering the plurality of random points includes: based on the distance between any two random points in the plurality of random points, clustering the plurality of random points by using a K-means clustering algorithm to obtain a plurality of cluster centers.
In some examples, the determining at least one light distribution position between the second functions based on the position information of the plurality of cluster centers includes: adjusting at least one cluster center in the plurality of cluster centers by using a preset rule to obtain at least one cluster center after adjustment; and determining the position of the center of the at least one cluster after adjustment as at least one light distribution position among the second functions.
In some examples, the adjusting at least one cluster center of the plurality of cluster centers using a preset rule comprises: deleting the centers of any two clusters in response to the distance between the centers of the two clusters being smaller than a fourth preset threshold; determining a new cluster center based on the positions of a plurality of random points included in the clusters corresponding to the deleted two cluster centers; and adding the new cluster center.
In some examples, the spatial data between the second functions further includes center point coordinates between the second functions, and the adjusting at least one cluster center of the plurality of cluster centers using a preset rule includes: and responding to the fact that the distance between any cluster center and the wall line between the second functions is smaller than a fifth preset threshold value, and moving the cluster center towards the direction of the center point between the second functions.
In some examples, the first inter-function spatial data further includes position and orientation information for windows between the first functions, the second inter-function spatial data includes position and orientation information for windows between the second functions, and the method further includes: determining a set height position at a set distance from a position of the window between the first functions in a direction opposite to a direction of the window between the first functions as a natural light distribution position between the first functions; and determining a set height position at a set distance from the position of the window between the second functions along the opposite direction of the window between the second functions as a natural light distribution position between the second functions.
According to another aspect of the present disclosure, there is also provided a computer apparatus including: at least one processor; and at least one memory having stored thereon a computer program, wherein the computer program, when executed by the at least one processor, causes the at least one processor to perform the above-described light distribution method of the scene space.
According to another aspect of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform the above-described light distribution method of a scene space.
According to another aspect of the present disclosure, there is also provided a computer program product comprising a computer program which, when executed by a processor, causes the processor to perform the above-described method of light distribution in a scene space.
Claims (18)
1. A method of distributing light in a scene space, the scene space including at least one first functional room, the method comprising:
for each first functional room, acquiring space data between the first functional rooms, wherein the space data comprises information describing the plane shape and the area of the first functional rooms, and the space data also comprises information describing the existence and the position of a main lamp in the first functional rooms;
Determining a space type between the first functions based on the space data between the first functions, the space type identifying shape attributes and area attributes of the first functions, the space type between the first functions being one of: a small-area regular-shape space, a small-area irregular-shape space, a large-area regular-shape space, and a large-area irregular-shape space;
determining at least one light distribution position between the first functions by using a preset rule corresponding to the space type between the first functions,
wherein determining at least one light distribution position between the first functions by using a preset rule corresponding to a space type between the first functions comprises:
responsive to determining that the first functional space is a small-area regular-shape space or a small-area irregular-shape space, determining whether a primary luminaire is present in the first functional space based on the spatial data;
in response to determining that a primary luminaire exists in the first functional room, determining a set height position at the position of the primary luminaire as a light distribution position of the first functional room;
in response to determining that the primary luminaire is not present in the first functional room, a set height position at the center point coordinates is determined as a light distribution position in the first functional room.
2. The method of claim 1, wherein the spatial data includes vertex coordinates of a planar shape of the first inter-function under a predetermined coordinate system, and wherein the determining the type of space between the first functions based on the spatial data between the first functions comprises:
determining center point coordinates of the area between the first functions and the planar shape between the first functions under the predetermined coordinate system based at least on the vertex coordinates between the first functions;
determining shape attributes among the first functions based on the vertex coordinates and the center point coordinates among the first functions;
determining an area attribute between the first functions based on the area between the first functions;
based on the shape and area attributes between the first functions, a type of space between the first functions is determined.
3. The method of claim 2, wherein the shape attribute indicates whether the first inter-function is a regular shape space, and the determining the shape attribute between the first functions based on the vertex coordinates and the center point coordinates between the first functions comprises:
determining the distance between each vertex coordinate and the center point coordinate;
determining that the first functional space is a regular-shape space in response to determining that the variance of the distances between each vertex coordinate and the center point coordinates is not greater than a first preset threshold;
And determining that the first function space is an irregularly-shaped space in response to determining that the variance of the distances between the vertex coordinates and the center point coordinates is greater than a first preset threshold.
4. The method of claim 2, wherein the area attribute indicates whether the first inter-function is a small area space or a large area space, and the determining the area attribute between the first functions based on the area between the first functions comprises:
determining that the first functions are small-area spaces in response to determining that the areas between the first functions are not greater than a second preset threshold;
and determining that the first functions are large-area spaces in response to determining that the areas between the first functions are greater than a second preset threshold.
5. The method of claim 1, wherein the spatial data further includes information describing a position and an orientation of a door between the first functions, and the determining at least one light distribution position between the first functions using a preset rule corresponding to a type of space between the first functions comprises:
determining whether a primary luminaire exists in the first room based on the spatial data in response to the type of space between the first functions being a large-area regularly-shaped space;
In response to determining that a primary luminaire exists in the first functional room, determining a set height position at the position of the primary luminaire as a light distribution position of the first functional room;
responsive to determining that no primary luminaire exists in the first functional room, determining a set height position at the center point coordinates as a light distribution position in the first functional room;
a set height position at a set distance from the position of the door in the direction of orientation of the door is determined as an additional light distribution position between the first functions.
6. The method of claim 1, wherein determining at least one light distribution position between the first functions using a preset rule corresponding to a type of space between the first functions comprises:
determining whether a primary luminaire exists in the first room based on the spatial data in response to the type of space between the first functions being a large-area irregularly-shaped space;
in response to determining that a plurality of primary luminaires are present in the first functional room, the set height positions at the respective positions of the plurality of primary luminaires are each determined as a light distribution position in the first functional room.
7. The method of claim 6, wherein determining at least one routing location between the first functions using a preset rule corresponding to a type of space between the first functions further comprises:
In response to determining that one primary luminaire exists in the first functional room, determining a set height position at a position of the one primary luminaire as a first light distribution position between the first functional room;
responsive to determining that no primary luminaire exists in the first functional room, determining a set height position at the center point coordinates as a first light distribution position in the first functional room;
an additional second light distribution position is determined for the first functional space.
8. The method of claim 7, wherein said determining additional second routing locations for the first inter-function comprises:
determining a minimum rectangle containing the planar shape between the first functions according to the vertex coordinates between the first functions;
determining at least one concave point from each vertex coordinate among the first functions, wherein the at least one concave point is positioned inside the minimum rectangle;
selecting a concave point which is closest to the first light distribution position from the at least one concave point;
dividing the planar shape between the first functions into a first part and a second part by a dividing line passing through the nearest concave point, wherein the first part comprises the first light distribution position, and the second part does not comprise the first light distribution position;
Determining a center point of the second portion;
a set height position at a center point of the second portion is determined as the second light distribution position between the first functions.
9. The method of claim 1, wherein the at least one first functional compartment is a bedroom.
10. The method of any of claims 1-9, wherein the scene space further comprises a second inter-function different from the at least one first inter-function, and the method further comprises:
and determining at least one light distribution position between the second functions by utilizing a rule different from a preset rule between the first functions.
11. The method of claim 10, wherein the second room is a living room, and the determining at least one routing location between the second rooms comprises:
acquiring space data among the second functions, wherein the space data comprises vertex coordinates and wall line coordinates of the plane shape among the second functions under a preset coordinate system and area information among the second functions;
acquiring position information of a plurality of random points in the second function room based on the vertex coordinates and the wall line coordinates of the second function room;
Clustering the plurality of random points based on the distance between any two random points in the plurality of random points to obtain a plurality of clusters and cluster centers, wherein the quotient of the area between the second functions and the number of the plurality of clusters is not smaller than a third preset threshold;
and determining at least one light distribution position among the second functions based on the positions of the centers of the plurality of clusters.
12. The method of claim 11, wherein the clustering the plurality of random points comprises:
based on the distance between any two random points in the plurality of random points, clustering the plurality of random points by using a K-means clustering algorithm to obtain a plurality of cluster centers.
13. The method of claim 12, wherein the determining at least one routing location between the second functions based on location information of the plurality of cluster centers comprises:
adjusting at least one cluster center in the plurality of cluster centers by using a preset rule to obtain at least one cluster center after adjustment;
and determining the position of the center of the at least one cluster after adjustment as at least one light distribution position among the second functions.
14. The method of claim 13, wherein said adjusting at least one cluster center of the plurality of cluster centers using a preset rule comprises:
deleting the centers of any two clusters in response to the distance between the centers of the two clusters being smaller than a fourth preset threshold;
determining a new cluster center based on the positions of a plurality of random points included in the clusters corresponding to the deleted two cluster centers;
and adding the new cluster center.
15. The method of claim 13, wherein the spatial data between the second functions further comprises center point coordinates between the second functions, and the adjusting at least one cluster center of the plurality of cluster centers using a preset rule comprises:
and responding to the fact that the distance between any cluster center and the wall line between the second functions is smaller than a fifth preset threshold value, and moving the cluster center towards the direction of the center point between the second functions.
16. The method of claim 10, wherein the first inter-function spatial data further comprises position and orientation information for windows between the first functions, the second inter-function spatial data comprises position and orientation information for windows between the second functions, and the method further comprises:
Determining a set height position at a set distance from a position of the window between the first functions in a direction opposite to a direction of the window between the first functions as a natural light distribution position between the first functions;
and determining a set height position at a set distance from the position of the window between the second functions along the opposite direction of the window between the second functions as a natural light distribution position between the second functions.
17. A computer device, comprising:
at least one processor; and
at least one memory having a computer program stored thereon,
wherein the computer program, when executed by the at least one processor, causes the at least one processor to perform the method of any one of claims 1 to 16.
18. A computer readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform the method of any of claims 1 to 16.
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