CN110686648A - Method, device and equipment for generating house type graph based on image detection and storage medium - Google Patents
Method, device and equipment for generating house type graph based on image detection and storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/02—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
- G01C11/025—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures by scanning the object
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/002—Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
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- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/03—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by measuring coordinates of points
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/04—Interpretation of pictures
- G01C11/06—Interpretation of pictures by comparison of two or more pictures of the same area
- G01C11/08—Interpretation of pictures by comparison of two or more pictures of the same area the pictures not being supported in the same relative position as when they were taken
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention discloses a method, a device, equipment and a storage medium for generating a house type graph based on image detection, wherein the method comprises the following steps: when a first measurement instruction is received by a detection terminal interface, starting a shooting device to obtain a reference horizontal plane in a room corresponding to the first measurement instruction, and establishing a space coordinate system according to the reference horizontal plane; collecting boundary distances of boundaries in the room, and generating the physical space size of the room on the space coordinate system according to the coordinate values in the space coordinate system; and when a second measurement instruction is received, obtaining a measurement size corresponding to the second measurement instruction, adding the measurement size to the physical space size, generating a floor plan of the room, and outputting the floor plan. According to the scheme, the house type graph of the room is established based on the image detection technology, the operation flow of room measurement is simplified, and the house type graph generation efficiency based on the image detection is improved.
Description
Technical Field
The present invention relates to the field of image detection technologies, and in particular, to a method, an apparatus, a device, and a storage medium for generating a house type graph based on image detection.
Background
Along with the development of living standard, the number of houses in a city is more and more, and the houses can be used only after being decorated; during decoration, the size of a room is measured, a house type graph is drawn according to the measured size, a decoration scheme design is designed on the basis, and decoration is performed according to the designed decoration scheme.
At present, the size of a room is measured on the spot by a decoration designer carrying various tools to measure the length, the width and the height of the room, doors and windows and the like, and the time spent on measuring the number of the rooms is large and the number of the doors and windows in the room is large; meanwhile, the complexity of drawing the house-type diagram according to the measured size is increased, and the drawing efficiency of the house-type diagram is reduced.
Disclosure of Invention
The invention mainly aims to provide a house type graph generating method, a house type graph generating device, house type graph generating equipment and a storage medium based on image detection, and aims to solve the problems that a room size model is complex to draw according to a measured size and the efficiency is low in the prior art.
In order to achieve the above object, the present invention provides a house type graph generating method based on image detection, which comprises the following steps:
when a first measurement instruction is received by a detection terminal interface, starting a shooting device to obtain a reference horizontal plane in a room corresponding to the first measurement instruction, and establishing a space coordinate system according to the reference horizontal plane;
collecting boundary distances of boundaries in the room, and generating the physical space size of the room on the space coordinate system according to the coordinate values in the space coordinate system;
and when a second measurement instruction is received, obtaining a measurement size corresponding to the second measurement instruction, adding the measurement size to the physical space size, generating a floor plan of the room, and outputting the floor plan.
Preferably, the step of acquiring boundary distances of boundaries in the room, and generating physical space dimensions of the room on the spatial coordinate system according to coordinate values in the spatial coordinate system by using the boundary distances includes:
when an acquisition instruction sent based on the terminal interface is received, reading an acquisition point and a boundary direction corresponding to the acquisition instruction in the room;
when the acquisition point and the boundary direction are respectively consistent with a reference acquisition point and a reference acquisition direction in the space coordinate system, acquiring the boundary distance of each boundary in the room according to the acquisition point and the boundary direction;
and adding each boundary distance into the space coordinate system according to the coordinate value in the space coordinate system to generate the physical space size of the room.
Preferably, the step of acquiring boundary distances of boundaries in the room according to the acquisition points and the boundary directions comprises:
collecting the boundary distance of the room in the boundary direction by taking the collection point as a starting point, and identifying a boundary termination point in the boundary direction;
and acquiring boundary distances of other boundaries with adjacent relations in the room one by taking the boundary end point as a new starting point until the boundary distances of all the boundaries in the room are acquired.
Preferably, the step of turning on the photographing device to acquire the reference level in the room corresponding to the first measurement instruction when the first measurement instruction is received comprises:
when a first measurement instruction is received, starting a shooting device, and outputting prompt information for scanning a room middle plane corresponding to the first measurement instruction to the terminal interface;
when scanning a plane in the room, acquiring a plurality of image points in the plane, and determining a plane formed by the image points as a reference horizontal plane, wherein the image points are not on the same straight line.
Preferably, when receiving a second measurement instruction, the step of acquiring a measurement size corresponding to the second measurement instruction, adding the measurement size to the physical space size, generating a floor plan of the room, and outputting the floor plan includes:
when a second measurement instruction is received, determining a measurement target according to a measurement target identifier carried in the second measurement instruction;
collecting the measuring sizes of the measuring target and the measuring reference positions corresponding to the measuring sizes;
and adding each measuring size to the physical space size according to each measuring reference position, generating a floor plan of the room and outputting the floor plan.
Preferably, the step of generating a floor plan of the room is followed by:
the step of generating a floor plan of the room and outputting the floor plan comprises:
when an adding instruction is received, adding furniture elements corresponding to the adding instruction into the house type graph, and judging whether an adding finishing instruction is received or not;
if the adding completion instruction is received, detecting element positions of the furniture elements in the house type diagram, and judging whether a plurality of furniture elements exist in the element positions;
if a plurality of furniture elements exist, adjusting element positions of the furniture elements, and adjusting the size of the furniture elements when a plurality of furniture elements still exist in the adjusted element positions.
Preferably, the step of establishing a spatial coordinate system according to the reference horizontal plane comprises:
identifying two vertical edges of the room that are perpendicular to each other in the reference horizontal plane, and a vertical point formed by the intersection of the two vertical edges;
establishing a plane coordinate system according to the vertical points and the two vertical edges;
and determining a third edge perpendicular to the plane coordinate system according to the perpendicular point, and establishing a space coordinate system according to the third edge and the plane coordinate system.
In order to achieve the above object, the present invention further provides an image-detection-based house type map generating apparatus, comprising:
the system comprises a determining module, a detecting terminal interface and a judging module, wherein the determining module is used for starting a shooting device to acquire a reference horizontal plane in a room corresponding to a first measuring instruction when the detecting terminal interface receives the first measuring instruction, and establishing a space coordinate system according to the reference horizontal plane;
the acquisition module is used for acquiring boundary distances of boundaries in the room and generating the physical space size of the room on the space coordinate system according to the coordinate values in the space coordinate system;
and the generating module is used for acquiring a measuring size corresponding to a second measuring instruction when the second measuring instruction is received, adding the measuring size into the physical space size, generating a floor plan of the room and outputting the floor plan.
Furthermore, to achieve the above object, the present invention further provides an image-detection-based house type map generating apparatus, comprising: the device comprises a memory, a processor, a communication bus and a house pattern generating program based on image detection, wherein the house pattern generating program is stored on the memory;
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is used for executing the house pattern generating program based on image detection to realize the following steps:
when a first measurement instruction is received by a detection terminal interface, starting a shooting device to obtain a reference horizontal plane in a room corresponding to the first measurement instruction, and establishing a space coordinate system according to the reference horizontal plane;
collecting boundary distances of boundaries in the room, and generating the physical space size of the room on the space coordinate system according to the coordinate values in the space coordinate system;
and when a second measurement instruction is received, obtaining a measurement size corresponding to the second measurement instruction, adding the measurement size to the physical space size, generating a floor plan of the room, and outputting the floor plan.
Further, to achieve the above object, the present invention also provides a storage medium storing one or more programs executable by one or more processors for:
when a first measurement instruction is received by a detection terminal interface, starting a shooting device to obtain a reference horizontal plane in a room corresponding to the first measurement instruction, and establishing a space coordinate system according to the reference horizontal plane;
collecting boundary distances of boundaries in the room, and generating the physical space size of the room on the space coordinate system according to the coordinate values in the space coordinate system;
and when a second measurement instruction is received, obtaining a measurement size corresponding to the second measurement instruction, adding the measurement size to the physical space size, generating a floor plan of the room, and outputting the floor plan.
In the house type graph generating method based on image detection of the embodiment, a space coordinate system is established according to a reference horizontal plane in a room, and boundary distances of boundaries in the room are collected; generating the physical space size of the room on the space coordinate system according to the coordinate value in the space coordinate system; the boundary distance of each boundary in the room represents the length, width and height of the room, and the boundary distance is added into a space coordinate system to generate the physical space size of the room, so that the manual measurement and drawing of the room size are avoided; in addition, for the sizes of windows, doors and the like in the room, triggering measurement is carried out through a second measurement instruction, the measured size obtained through measurement is directly added into the physical space size, and a house type diagram of the room is generated and output; further avoiding manual measurement and drawing operation, simplifying operation flow and improving generation efficiency of the house type graph of the room.
Drawings
FIG. 1 is a schematic flow chart diagram of a first embodiment of a house pattern generation method based on image detection according to the present invention;
FIG. 2 is a functional block diagram of a first embodiment of a house layout generating device based on image detection according to the present invention;
fig. 3 is a schematic device structure diagram of a hardware operating environment related to the method according to the embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a house type graph generation method based on image detection.
Referring to fig. 1, fig. 1 is a flowchart illustrating a house type diagram generating method based on image detection according to a first embodiment of the present invention. In this embodiment, the method for generating a house type map based on image detection includes:
step S10, when the detection terminal interface receives a first measurement instruction, starting a shooting device to obtain a reference horizontal plane in a room corresponding to the first measurement instruction, and establishing a space coordinate system according to the reference horizontal plane;
the house type graph generating method based on image detection is applied to a control center of a terminal, and the house type graph of a room is generated through the control center; the terminal can be a mobile terminal such as a mobile phone and a tablet computer. The house type map of a room is a three-dimensional model that characterizes the length, width, and height of the room, as well as the position and size of the doors and windows in the room. The terminal is provided with a Software Development Kit (SDK) for measuring the size, the SDK is formed based on an Android official SDK ARCore or an iOS official SDK ARkit, and the SDK is compatible with various apps (Application Software), so that the dependence of a traditional tool on a certain app is avoided, and the Application range is wide. Before generating the house type graph of the room, starting the tool to display on a terminal interface; thereafter, an option in which the length, width, and height dimensions are measured is selected through the displayed contents, and the selection instruction is taken as a first measurement instruction. When detecting that the terminal interface receives the first measurement instruction, the control center starts a shooting device installed in the terminal so as to acquire a reference horizontal plane in a room corresponding to the first measurement instruction; specifically, step S10 includes:
step S11, when a first measurement instruction is received, starting a shooting device, and outputting prompt information for scanning the plane in the room corresponding to the first measurement instruction to the terminal interface;
further, the control center calls a thread for starting the terminal camera device, the camera device installed in the terminal is started through the thread, and meanwhile prompt information for aiming at any plane in a room corresponding to the first measurement instruction by the camera device so as to scan any plane in the room is output to the terminal interface.
Step S12, when scanning a plane in the room, acquiring a plurality of image points in the plane, and determining a plane formed by the image points as a reference horizontal plane, wherein the image points are not on the same straight line.
Furthermore, after the terminal user checks the prompt message, the camera device is aligned to any plane in the room; and after the control center detects the aligned plane, the control center controls the camera device to scan the aligned plane. If two or three planes aligned with the camera device are caused by the problem of terminal placement, the control center correspondingly detects that two planes, such as the ground, the wall and the like, exist in the image of the camera device, and the two planes need to be distinguished. When the images are distinguished, the number of the repeated points in the two surfaces is used for comparing the number of the repeated points formed by the two surfaces in the image pickup device, and the surface with more repeated points is determined as a plane for scanning.
After a scanned image is obtained through scanning, a plurality of points which are not on the same straight line are identified, and the identified points are taken as a plurality of image points in a plane for collection; and then connecting a plurality of acquired image points to form a closed curve. Then, outputting confirmation prompt information aiming at the closed curve formed by the image points so as to inquire an end user whether to confirm that the plane of the closed curve is used as a reference horizontal plane; if the control center detects the confirmation information input by the terminal user on the terminal interface, determining the confirmation information as a reference horizontal plane; and if a reselection instruction input by the terminal user on the terminal interface is received, rescanning the plane or collecting a plurality of image points to form a reference horizontal plane meeting the requirements of the terminal user.
Further, after determining a reference level in the room, establishing a spatial coordinate system associated with the room on the basis of the reference level; wherein the step of establishing a spatial coordinate system based on the reference horizontal plane comprises:
step S13, identifying two vertical edges of the room which are perpendicular to each other in the reference horizontal plane and a vertical point formed by the intersection of the two vertical edges;
understandably, the space coordinate system comprises a coordinate system of an X axis, a Y axis and a Z axis, and for facilitating the vehicle carrying out on the size of the room, it is preferable to take mutually perpendicular sides in the room as the X axis and the Y axis and take the intersection point of the mutually perpendicular sides as the coordinate origin of the space coordinate system; in the case where there are no mutually perpendicular sides in the room, an arbitrary side is selected as the X-axis, and one end point of the selected side is taken as the origin of coordinates of the spatial coordinate system. Specifically, the control center identifies a scanning image generated by the camera device, and identifies two vertical edges of a room, which are perpendicular to each other in a reference horizontal plane, and a vertical point at the intersection of the two vertical edges; and when the room is identified to have no two vertical edges which are vertical to each other in the reference level, selecting any one edge in the room as a first vertical edge, selecting one end point of the first vertical edge as a vertical point, and establishing a second vertical edge which is vertical to the first vertical edge on the basis of the vertical point, wherein the second vertical edge is positioned in the reference horizontal plane and points to the inside of the room. The first vertical side and the second vertical side are two vertical sides that form a room perpendicular to each other in the reference plane.
Step S14, establishing a plane coordinate system according to the vertical point and the two vertical edges;
further, a plane coordinate system of the room on a reference horizontal plane is established by taking the vertical point as a coordinate origin and taking the two vertical edges as an X coordinate axis and a Y coordinate axis respectively.
And step S15, determining a third edge perpendicular to the plane coordinate system according to the perpendicular point, and establishing a space coordinate system according to the third edge and the plane coordinate system.
Understandably, from a vertical point, an edge in the room passing the vertical point can be determined; and determining the edge passing through the vertical point to be vertical to the reference horizontal plane and the edge pointing to the inside of the room as a third edge vertical to the plane coordinate system, and further forming a space coordinate system in the room by the third edge and the plane coordinate system.
Step S20, collecting boundary distances of each boundary in the room, and generating the physical space size of the room on the space coordinate system according to the coordinate values in the space coordinate system;
further, after the space coordinate system is established, a tool installed in the control terminal collects boundary distances of each boundary in the room, and generates each boundary distance on the space coordinate system as an entity space size of the room according to a coordinate value in the space coordinate system, so as to represent the length, width, height and other sizes of the room in the space coordinate system. The coordinate values in the space coordinate system are values between adjacent coordinate points on each coordinate axis in the space coordinate system, and can be set in the process of establishing the space coordinate system or can be set in a tool by default; if the value between adjacent coordinate points is set to be 4, when a boundary in the room corresponds to the X axis and the boundary distance is 12, the coordinate points occupied by the boundary on the X axis are 3 coordinate points from the origin as the starting point. And converting the boundary distance of each boundary according to the coordinate value in the space coordinate system to generate the corresponding position of each boundary distance on the space coordinate system, and further forming the physical space size for representing the length, the width and the height of the room according to each position.
Step S30, when a second measurement instruction is received, obtaining a measurement size corresponding to the second measurement instruction, adding the measurement size to the physical space size, generating a floor plan of the room, and outputting the floor plan.
Understandably, holes for installing doors and windows are formed in a room, and in order to determine the size of the doors and windows to be installed and the positions of the doors and windows, the size and the positions of the holes in a space coordinate system need to be determined. Specifically, an option for measuring the size and position of the door and window is provided in a tool installed in the terminal, the option is selected, and the selection operation is used as a second measurement instruction. When the control center receives the second measurement instruction, the measurement size corresponding to the second measurement instruction is obtained through a tool; the second measurement instruction can measure the sizes of different types of objects, and when the second measurement instruction is carried out aiming at the door hole, the measurement size corresponding to the door frame is obtained; and when the second measurement command is made for an aperture, then a measurement size corresponding to the aperture is obtained. And adding the obtained measurement size into the physical space size of the room, and generating and outputting a house type graph of the room after the addition of each measurement size is finished so as to show the length, the width and the height of the room, the positions of doors and windows in the room and the like.
Considering that different doors and windows are positioned at different positions in a room, when the measured sizes of the doors and the windows are added to the physical space size, the addition needs to be carried out according to the relative positions of the measured sizes in the physical space size; specifically, when a second measurement instruction is received, acquiring a measurement size corresponding to the second measurement instruction, adding the measurement size to the physical space size, and generating a floor plan of the room and outputting the floor plan includes:
step S31, when a second measurement instruction is received, determining a measurement target according to a measurement target identifier carried in the second measurement instruction;
further, different marks are set for size measurement of different types of objects such as doors, windows and the like for distinguishing, for example, the mark of the door is f1, and the mark of the window is f2 and the like; and when the terminal user selects to generate a second measurement instruction for the measurement option, adding the identifier carried in the option into the second measurement instruction. And after receiving the second measurement instruction, the control center reads the identifier carried in the second measurement instruction as a measurement target identifier, and determines a measurement target to be measured according to the measurement object represented by the measurement target identifier.
Step S32, collecting the measuring size of the measuring target and the measuring reference position corresponding to each measuring size;
furthermore, a tool installed in the control terminal collects the measurement dimensions of the measurement target, and simultaneously collects the measurement reference positions corresponding to the measurement dimensions; wherein the measurement reference position is the position distance of each measurement size relative to the coordinate origin in the space coordinate system and can be represented by coordinate values; if a certain measurement dimension is acquired as 80 for a window located relatively on the XOZ plane and its measurement reference position is (100,120), it is characterized that the measurement dimension is located at a distance of 100 in the X direction and 120 in the Y direction with respect to the origin of coordinates. It should be noted that, for a measurement target not having a characteristic of being parallel to each coordinate axis in the spatial coordinate system, two measurement reference positions are involved for the same measurement size; if, for the window in the plane XOZ, the boundary corresponding to the measurement dimension 80 is located in the direction of the X-axis and is not perpendicular to the X-axis, then the measurement reference positions at both ends of the boundary need to be acquired so that it has two coordinate values representing the measurement reference positions.
Step S33, adding each of the measurement sizes to the physical space size according to each of the measurement reference positions, generating a floor plan of the room, and outputting the floor plan.
Furthermore, each measurement reference position is used as the positioning of each measurement size in a space coordinate system, and each measurement size is added to the physical space size according to each positioning, so that the physical space size comprises the sizes of windows, door frames and the like of a room. After all doors and windows in a room are measured and added to the physical space size, a finishing instruction can be triggered; thus, the measurement of the room is completed, and a floor plan of the room is generated and output to the terminal interface for display.
In the house type graph generating method based on image detection of the embodiment, a space coordinate system is established according to a reference horizontal plane in a room, and boundary distances of boundaries in the room are collected; generating the physical space size of the room on the space coordinate system according to the coordinate value in the space coordinate system; the boundary distance of each boundary in the room represents the length, width and height of the room, and the boundary distance is added into a space coordinate system to generate the physical space size of the room, so that the manual measurement and drawing of the room size are avoided; in addition, for the sizes of windows, doors and the like in the room, triggering measurement is carried out through a second measurement instruction, the measured size obtained through measurement is directly added into the physical space size, and a house type diagram of the room is generated and output; further avoiding manual measurement and drawing operation, simplifying operation flow and improving generation efficiency of the house type graph of the room.
Further, based on the first embodiment of the house type map generation method based on image detection of the present invention, a second real-time embodiment of the house type map generation method based on image detection of the present invention is provided, and in the second embodiment, the step of acquiring boundary distances of each boundary in the room, and generating an actual space size of the room from each boundary distance on the spatial coordinate system according to a coordinate value in the spatial coordinate system includes:
step S21, when receiving the collecting instruction sent based on the terminal interface, reading the corresponding collecting point and boundary direction of the collecting instruction in the room;
furthermore, the terminal user triggers an acquisition instruction for acquiring boundary distances of each boundary in the room on the terminal interface, and needs to select the boundary acquired first in the room and an acquisition point in the boundary when triggering, take the direction corresponding to the selected boundary as the boundary direction, and send the boundary direction, the acquisition point and the acquisition instruction to the control center. After receiving the acquisition instruction, the control center reads the acquisition points and the boundary directions in the acquisition instruction so as to determine the first acquisition points and the boundary directions acquired aiming at each boundary of the room.
Step S22, when the collection point and the boundary direction are respectively consistent with the reference collection point and the reference collection direction in the space coordinate system, collecting the boundary distance of each boundary in the room according to the collection point and the boundary direction;
furthermore, a reference acquisition point and a reference acquisition direction are preset in the tool, and the reference acquisition point and the reference acquisition direction are preferably the coordinate origin and the X-axis direction of a space coordinate system; after reading the acquisition points and the boundary direction, the control center respectively compares the acquisition points with the reference acquisition points, and compares the boundary direction with the reference acquisition direction to judge whether the acquisition points and the boundary direction are respectively consistent with the reference acquisition points and the reference acquisition direction. And if the acquisition point is consistent with the reference acquisition point and the boundary direction is consistent with the reference acquisition direction, acquiring the boundary distance of each boundary according to the acquisition point and the boundary direction. If the acquisition current is not consistent with the reference acquisition point or the boundary direction is not consistent with the reference acquisition direction, outputting prompt information to a terminal interface to prompt a terminal user to reselect the boundary needing to be acquired firstly and the acquisition point in the boundary to initiate an acquisition instruction.
Still further, the step of acquiring boundary distances of boundaries in the room according to the acquisition points and the boundary directions includes:
step S221, collecting the boundary distance of the room in the boundary direction by taking the collection point as a starting point, and identifying a boundary end point in the boundary direction;
further, a device for distance acquisition is arranged in the terminal, and the device can be a displacement sensor or an infrared emitter. When the control terminal uses the installed tool to collect the boundary distance, prompt information for confirming whether the collection starting point is consistent with the collection point or not is output to a terminal interface, a terminal user places the terminal to the collection point according to the prompt information and confirms, and collection is started by taking the collection point as the collection starting point. Specifically, when the collecting device is an infrared emitter, it is necessary to ensure that the emitting end of the infrared emitter is consistent with the boundary direction; the control center detects whether the transmitting end is consistent with the boundary direction, and if so, the control center controls the transmitting infrared ray to collect the distance of the boundary in the boundary direction; and if the terminal direction is inconsistent with the boundary direction, outputting prompt information for adjusting the terminal direction until the transmitting end and the boundary direction are consistent, and acquiring the boundary distance. When the collecting device is a displacement sensor, the terminal moves along the boundary corresponding to the boundary direction and stops moving when the terminal moves to the end point of the boundary, and the distance recorded by moving is the distance of the boundary corresponding to the boundary direction. No matter the boundary distance of the room in the boundary direction is collected by an infrared emitter or a displacement sensor, a boundary termination point in the boundary direction needs to be identified, and the boundary termination point is an end point of the boundary; for the infrared emitter, a point at which the emitted infrared rays hit the obstacle is identified as a boundary end point, and for the displacement sensor, a displacement stop point is identified as a boundary end point.
Step S222, collecting boundary distances of other boundaries having an adjacent relationship in the room one by using the boundary end point as a new start point until the collection of the boundary distances of each boundary in the room is completed.
Furthermore, the boundary end point is used as a new starting point to start collecting, and the boundary distances of other boundaries with adjacent relations in the room are collected; taking the boundary in the boundary direction, which is subjected to the first boundary distance acquisition before, as an acquired boundary, and taking the boundary end point of the acquired boundary as a new starting point, and performing secondary acquisition on the boundary distances of other boundaries adjacent to the acquired boundary in the room; and then taking other boundaries acquired by the secondary boundary distance as new acquired boundaries, taking the boundary end point of the new acquired boundary as a new starting point, and acquiring the boundary distances of other boundaries adjacent to the new acquired boundary in the room for three times until the boundary distances of all the boundaries in the room are acquired.
It should be noted that, when the room is irregular and the boundaries having adjacent relations in the room are not in a perpendicular relation, the distance between the boundaries of the boundaries needs to be measured, and the angle between the adjacent boundaries needs to be measured. Starting an angle measurement function in the tool, displaying an angle reference point and an angle reference edge on a terminal interface, and displaying prompt information for confirming that the intersection point of adjacent boundaries is consistent with the angle reference point and the boundary of which the distance between the boundaries is measured in the adjacent boundaries is consistent with the angle reference edge. After receiving confirmation information sent by the terminal user based on the prompt information, the terminal user rotates the terminal to another boundary in the adjacent boundaries, stops when the terminal rotates to another boundary, and triggers a finishing instruction for finishing angle measurement; and the control center generates the recorded rotation angle as an angle between adjacent boundaries when receiving the completion instruction, so as to complete the angle measurement between the adjacent boundaries which are not mutually perpendicular.
Step S23, adding each boundary distance to the space coordinate system according to the coordinate value in the space coordinate system, and generating the physical space size of the room.
Further, after boundary distances of all boundaries in a room are sequentially collected, adding all the boundary distances into a space coordinate system according to the numerical value between adjacent coordinate points represented by the coordinate numerical value in the space coordinate system; for each adjacent boundary which is not perpendicular to each other, the position of each boundary in a space coordinate system is determined according to the angle between each adjacent boundary, and then the end point of the boundary is determined according to the boundary distance in the position direction, so that the length of the boundary is determined. And after all the boundary distances are sequentially added to the space coordinate system, forming a closed size space in the space coordinate system, namely the physical space size of the room in the space coordinate system.
The boundary distances of the boundaries are sequentially collected according to the collection points and the boundary directions, the collected boundary distances are formed into the physical space size of a room in a space coordinate system, the size collection and the size drawing are integrated, the room size measurement process is simplified, and the efficiency of drawing the measurement size into the physical space size is improved.
Further, a third real-time example of the house type graph generating method based on image detection according to the present invention is proposed based on the first or second embodiment of the house type graph generating method based on image detection according to the present invention, and in the third embodiment, the step of generating the house type graph of the room and outputting the house type graph includes:
step 40, when an adding instruction is received, adding the furniture element corresponding to the adding instruction into the house type graph, and judging whether an adding finishing instruction is received or not;
furthermore, the embodiment supports adding materials of furniture elements in the house type diagram of the room to show the design effect of the room; meanwhile, the house type graph existing in the form of the three-dimensional model can be converted into a two-dimensional layout graph, and each furniture element exists in the form of the three-dimensional model and the two-dimensional picture; and adding the three-dimensional furniture model into a house type graph in a three-dimensional model form to generate a three-dimensional design effect of the room, and adding the two-dimensional home picture into a two-dimensional room layout graph to generate a two-dimensional design effect of the room.
Specifically, when the house type graph exists in a three-dimensional model form, the generated house type graph of the room is converted into a two-dimensional layout graph, the house type graph of the room and the two-dimensional layout graph are correspondingly stored in a graph library, and a plurality of materials serving as furniture elements and functions of drawing the house type graph are preset in the graph library. When the design effect needs to be displayed for a room, a terminal user triggers a calling instruction, and the control center calls a house type graph and a two-dimensional layout graph of the room to display after receiving the calling instruction; and then when receiving an adding instruction sent based on the image library, the control center adds the furniture element corresponding to the adding instruction into the house type picture, adds the three-dimensional model of the furniture element corresponding to the adding instruction into the house type picture of the room, and adds the two-dimensional furniture picture of the furniture element corresponding to the adding instruction into the two-dimensional layout image so as to simultaneously show the three-dimensional and two-dimensional design effect of the room in the house type picture and the two-dimensional layout image of the room.
It should be noted that the house type diagram and the two-dimensional layout diagram of the room may also be displayed at different times, only one of the house type diagram and the two-dimensional layout diagram is called according to the call instruction to be displayed, and then only the corresponding three-dimensional furniture model or two-dimensional furniture picture is added, so as to display the three-dimensional or two-dimensional design effect of the room for the house type diagram or the two-dimensional layout image existing in the three-dimensional form. In addition, the control center detects whether an adding completion instruction is received in real time, wherein the adding completion instruction is an instruction sent by virtual keys of a terminal interface after a user adds furniture elements to be displayed to a house type graph or a two-dimensional layout graph; to characterize the completion of the addition of the furniture element to be displayed.
Step S50, if the adding completion instruction is received, detecting an element position of each furniture element in the house type diagram, and determining whether a plurality of furniture elements exist at each element position;
further, after detecting the adding completion instruction, the control center detects element positions of furniture elements in the household-type diagram, and judges whether a plurality of furniture elements exist in the element positions; through the detection and judgment process, whether the furniture elements are overlapped in the house type graph or not is determined.
Step S60 is to adjust the element position of each of the furniture elements if there are a plurality of the furniture elements, and to adjust the size of each of the furniture elements if there are a plurality of the furniture elements in each of the adjusted element positions.
And if the judgment determines that a plurality of furniture elements exist in a certain element position, adjusting the element positions of the furniture elements in the house type picture, and avoiding the phenomenon that the furniture elements are overlapped in the house type picture. Then, continuously detecting the positions of the furniture elements in the house type graph, and judging whether a plurality of furniture elements exist in the adjusted positions of the elements; if a plurality of furniture elements exist in the adjusted element positions, it is described that the overall furniture size represented by each furniture element and the size of the room may conflict, and the overall size of the furniture element is too large, and occupies a large space in the room size, resulting in overlapping. At the moment, the size of each furniture element is integrally adjusted, and the size of each furniture element is integrally reduced by a certain numerical value, so that the distribution positions of the furniture elements in the house type picture are reasonable, and the furniture elements are adaptive to the size of the room. Furthermore, the size of each furniture element can be adjusted individually, i.e. after adding a furniture element to the house figure, the size of the furniture element is adjusted. In addition, after the furniture elements of each requirement are added into the household graph and the three-dimensional design effect graph or the two-dimensional design effect graph of the room is generated, the generated effect graph can be published and shared, so that the house owner of the room can conveniently view the effect graph.
In addition, referring to fig. 2, the present invention provides a house type diagram generating device based on image detection, and in a first embodiment of the house type diagram generating device based on image detection of the present invention, the house type diagram generating device based on image detection includes:
the system comprises a determining module 10, a detecting terminal interface and a processing module, wherein the determining module is used for starting a shooting device to acquire a reference horizontal plane in a room corresponding to a first measuring instruction when the detecting terminal interface receives the first measuring instruction, and establishing a space coordinate system according to the reference horizontal plane;
the acquisition module 20 is configured to acquire boundary distances of boundaries in the room, and generate an entity space size of the room on the space coordinate system according to the coordinate values in the space coordinate system;
and the generating module 30 is configured to, when a second measurement instruction is received, obtain a measurement size corresponding to the second measurement instruction, add the measurement size to the physical space size, generate a floor plan of the room, and output the floor plan.
In the house type graph generating device based on image detection of the embodiment, a space coordinate system is established by a determining module 10 according to a reference horizontal plane in a room, and a boundary distance of each boundary in the room is collected by a collecting module 20; generating the physical space size of the room on the space coordinate system according to the coordinate value in the space coordinate system; the boundary distance of each boundary in the room represents the length, width and height of the room, and the boundary distance is added into a space coordinate system to generate the physical space size of the room, so that the manual measurement and drawing of the room size are avoided; in addition, the sizes of windows, doors and the like in the room are triggered and measured through a second measurement instruction, and the measured sizes obtained through measurement are directly added into the physical space size through the generation module 30 to generate and output a house type diagram of the room; further avoiding manual measurement and drawing operation, simplifying operation flow and improving the generation efficiency of the house type graph based on image detection.
Further, in another embodiment of the device for generating a house type map based on image detection according to the present invention, the acquisition module is further configured to:
when an acquisition instruction sent based on the terminal interface is received, reading an acquisition point and a boundary direction corresponding to the acquisition instruction in the room;
when the acquisition point and the boundary direction are respectively consistent with a reference acquisition point and a reference acquisition direction in the space coordinate system, acquiring the boundary distance of each boundary in the room according to the acquisition point and the boundary direction;
and adding each boundary distance into the space coordinate system according to the coordinate value in the space coordinate system to generate the physical space size of the room.
Further, in another embodiment of the device for generating a house type map based on image detection according to the present invention, the acquisition module is further configured to:
collecting the boundary distance of the room in the boundary direction by taking the collection point as a starting point, and identifying a boundary termination point in the boundary direction;
and acquiring boundary distances of other boundaries with adjacent relations in the room one by taking the boundary end point as a new starting point until the boundary distances of all the boundaries in the room are acquired.
Further, in another embodiment of the device for generating a house type map based on image detection according to the present invention, the determining module is further configured to:
when a first measurement instruction is received, starting a shooting device, and outputting prompt information for scanning a room middle plane corresponding to the first measurement instruction to the terminal interface;
when scanning a plane in the room, acquiring a plurality of image points in the plane, and determining a plane formed by the image points as a reference horizontal plane, wherein the image points are not on the same straight line.
Further, in another embodiment of the device for generating a house type map based on image detection according to the present invention, the generating module is further configured to:
when a second measurement instruction is received, determining a measurement target according to a measurement target identifier carried in the second measurement instruction;
collecting the measuring sizes of the measuring target and the measuring reference positions corresponding to the measuring sizes;
and adding each measuring size to the physical space size according to each measuring reference position, generating a floor plan of the room and outputting the floor plan.
Further, in another embodiment of the device for generating a house type map based on image detection according to the present invention, the device for generating a house type map based on image detection further includes:
the adding module is used for adding the furniture elements corresponding to the adding instruction into the house type graph when the adding instruction is received, and judging whether the adding finishing instruction is received or not;
the detection module is used for detecting the element position of each furniture element in the house type picture and judging whether a plurality of furniture elements exist in each element position or not if the adding completion instruction is received;
and the adjusting module is used for adjusting the element position of each furniture element if a plurality of furniture elements exist, and adjusting the size of each furniture element when a plurality of furniture elements still exist in each adjusted element position.
Further, in another embodiment of the device for generating a house type map based on image detection according to the present invention, the determining module is further configured to:
identifying two vertical edges of the room that are perpendicular to each other in the reference horizontal plane, and a vertical point formed by the intersection of the two vertical edges;
establishing a plane coordinate system according to the vertical points and the two vertical edges;
and determining a third edge perpendicular to the plane coordinate system according to the perpendicular point, and establishing a space coordinate system according to the third edge and the plane coordinate system.
Here, each virtual function module of the above-described apparatus for generating a house map based on image detection is stored in the memory 1005 of the house map generating device based on image detection shown in fig. 3, and when the processor 1001 executes a house map generating program based on image detection, the functions of each module in the embodiment shown in fig. 2 are implemented.
Referring to fig. 3, fig. 3 is a schematic device structure diagram of a hardware operating environment related to the method according to the embodiment of the present invention.
The user-type graph generating device based on image detection in the embodiment of the present invention may be a Personal Computer (PC), or may be a terminal device such as a smart phone, a tablet computer, an electronic book reader, or a portable computer.
As shown in fig. 3, the house pattern generation apparatus based on image detection may include: a processor 1001, such as a CPU (Central Processing Unit), a memory 1005, and a communication bus 1002. The communication bus 1002 is used for realizing connection communication between the processor 1001 and the memory 1005. The memory 1005 may be a Random Access Memory (RAM) or a non-volatile memory (e.g., a disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the household pattern generating device based on image detection may further include a user interface, a network interface, a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi (Wireless broadband) module, and the like. The user interface may comprise a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface may also comprise a standard wired interface, a wireless interface. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface).
Those skilled in the art will appreciate that the configuration of the image detection-based house pattern generation apparatus shown in fig. 3 does not constitute a limitation of the image detection-based house pattern generation apparatus, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 3, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, and a house pattern generation program based on image detection. The operating system is a program that manages and controls hardware and software resources of the image-detection-based house pattern generating apparatus, and supports the operation of the image-detection-based house pattern generating program as well as other software and/or programs. The network communication module is used to enable communication between the components within the memory 1005, as well as with other hardware and software in the image detection based layout generation device.
In the image-detection-based house pattern generating apparatus shown in fig. 3, the processor 1001 is configured to execute an image-detection-based house pattern generating program stored in the memory 1005, and implement the steps in the embodiments of the image-detection-based house pattern generating method described above.
The present invention provides a storage medium, which is a computer-readable storage medium, and stores one or more programs, which can be further executed by one or more processors for implementing the steps in the embodiments of the user pattern generation method based on image detection.
It should also be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A house type graph generating method based on image detection is characterized by comprising the following steps:
when a first measurement instruction is received by a detection terminal interface, starting a shooting device to obtain a reference horizontal plane in a room corresponding to the first measurement instruction, and establishing a space coordinate system according to the reference horizontal plane;
collecting boundary distances of boundaries in the room, and generating the physical space size of the room on the space coordinate system according to the coordinate values in the space coordinate system;
and when a second measurement instruction is received, obtaining a measurement size corresponding to the second measurement instruction, adding the measurement size to the physical space size, generating a floor plan of the room, and outputting the floor plan.
2. The image-detection-based house type graph generating method as claimed in claim 1, wherein the step of acquiring boundary distances of boundaries in the room, and generating the physical space dimensions of the room on the space coordinate system according to the coordinate values in the space coordinate system by using the boundary distances comprises:
when an acquisition instruction sent based on the terminal interface is received, reading an acquisition point and a boundary direction corresponding to the acquisition instruction in the room;
when the acquisition point and the boundary direction are respectively consistent with a reference acquisition point and a reference acquisition direction in the space coordinate system, acquiring the boundary distance of each boundary in the room according to the acquisition point and the boundary direction;
and adding each boundary distance into the space coordinate system according to the coordinate value in the space coordinate system to generate the physical space size of the room.
3. The image-detection-based house type graph generating method of claim 2, wherein the step of acquiring the boundary distance of each boundary in the room according to the acquisition point and the boundary direction comprises:
collecting the boundary distance of the room in the boundary direction by taking the collection point as a starting point, and identifying a boundary termination point in the boundary direction;
and acquiring boundary distances of other boundaries with adjacent relations in the room one by taking the boundary end point as a new starting point until the boundary distances of all the boundaries in the room are acquired.
4. The house type graph generating method based on image detection as claimed in claim 1, wherein the step of turning on a photographing device to obtain a reference level in a room corresponding to a first measuring instruction when the first measuring instruction is received comprises:
when a first measurement instruction is received, starting a shooting device, and outputting prompt information for scanning a room middle plane corresponding to the first measurement instruction to the terminal interface;
when scanning a plane in the room, acquiring a plurality of image points in the plane, and determining a plane formed by the image points as a reference horizontal plane, wherein the image points are not on the same straight line.
5. The house type map generating method based on image sensing of claim 1, wherein the step of acquiring a measurement size corresponding to a second measurement command when the second measurement command is received, adding the measurement size to the physical space size, generating the house type map of the room and outputting the house type map comprises:
when a second measurement instruction is received, determining a measurement target according to a measurement target identifier carried in the second measurement instruction;
collecting the measuring sizes of the measuring target and the measuring reference positions corresponding to the measuring sizes;
and adding each measuring size to the physical space size according to each measuring reference position, generating a floor plan of the room and outputting the floor plan.
6. The image-detection-based house type map generating method according to any one of claims 1-5, wherein the step of generating the house type map of the room and outputting the house type map is followed by:
when an adding instruction is received, adding furniture elements corresponding to the adding instruction into the house type graph, and judging whether an adding finishing instruction is received or not;
if the adding completion instruction is received, detecting element positions of the furniture elements in the house type diagram, and judging whether a plurality of furniture elements exist in the element positions;
if a plurality of furniture elements exist, adjusting element positions of the furniture elements, and adjusting the size of the furniture elements when a plurality of furniture elements still exist in the adjusted element positions.
7. The image-detection-based house type map generating method of any one of claims 1-5, wherein the step of establishing a spatial coordinate system according to the reference horizontal plane comprises:
identifying two vertical edges of the room that are perpendicular to each other in the reference horizontal plane, and a vertical point formed by the intersection of the two vertical edges;
establishing a plane coordinate system according to the vertical points and the two vertical edges;
and determining a third edge perpendicular to the plane coordinate system according to the perpendicular point, and establishing a space coordinate system according to the third edge and the plane coordinate system.
8. An apparatus for generating a house type map based on image detection, the apparatus comprising:
the system comprises a determining module, a detecting terminal interface and a judging module, wherein the determining module is used for starting a shooting device to acquire a reference horizontal plane in a room corresponding to a first measuring instruction when the detecting terminal interface receives the first measuring instruction, and establishing a space coordinate system according to the reference horizontal plane;
the acquisition module is used for acquiring boundary distances of boundaries in the room and generating the physical space size of the room on the space coordinate system according to the coordinate values in the space coordinate system;
and the generating module is used for acquiring a measuring size corresponding to a second measuring instruction when the second measuring instruction is received, adding the measuring size into the physical space size, generating a floor plan of the room and outputting the floor plan.
9. An image-detection-based house pattern generation apparatus, comprising: the device comprises a memory, a processor, a communication bus and a house pattern generating program based on image detection, wherein the house pattern generating program is stored on the memory;
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute the image-detection-based house pattern generation program to implement the steps of the image-detection-based house pattern generation method according to any one of claims 1 to 7.
10. A storage medium having stored thereon an image-detection-based house pattern generation program, which when executed by a processor, performs the steps of the image-detection-based house pattern generation method of any one of claims 1 to 7.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111932666A (en) * | 2020-07-17 | 2020-11-13 | 北京字节跳动网络技术有限公司 | Reconstruction method and device of house three-dimensional virtual image and electronic equipment |
| CN112945085A (en) * | 2020-08-03 | 2021-06-11 | 深圳市明源云链互联网科技有限公司 | Measurement method and electronic device |
| CN113239785A (en) * | 2021-05-11 | 2021-08-10 | 百安居信息技术(上海)有限公司 | Method, system, storage medium and electronic device for automatically identifying house type based on convolutional neural network |
| CN114219007A (en) * | 2021-11-23 | 2022-03-22 | 慧之安信息技术股份有限公司 | Method and device for judging house type reasonableness based on image matching |
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| CN115904188A (en) * | 2022-11-21 | 2023-04-04 | 北京城市网邻信息技术有限公司 | Method and device for editing house-type graph, electronic equipment and storage medium |
| CN116311325A (en) * | 2023-02-16 | 2023-06-23 | 江苏艾佳家居用品有限公司 | Automatic scale identification system based on artificial intelligence model |
| CN116721237A (en) * | 2023-06-09 | 2023-09-08 | 北京优贝卡科技有限公司 | House type wall editing method, device, equipment and storage medium |
| CN116740276A (en) * | 2023-06-09 | 2023-09-12 | 北京优贝卡科技有限公司 | House type diagram generation method, device, equipment and storage medium |
| CN115904188B (en) * | 2022-11-21 | 2024-05-31 | 北京城市网邻信息技术有限公司 | Editing method and device for house type diagram, electronic equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150116509A1 (en) * | 2013-10-31 | 2015-04-30 | InsideMaps Inc. | Methods and apparatuses for capturing images used for generating 3d models of rooms |
| CN106484959A (en) * | 2016-09-19 | 2017-03-08 | 上海斐讯数据通信技术有限公司 | A kind of house type drawing drawing method and rendering apparatus |
| JP2018024502A (en) * | 2016-08-09 | 2018-02-15 | 株式会社日立ビルシステム | Elevator machine room drawing generation device, elevator machine room modeling data generation device, elevator machine room drawing generation method, and elevator machine room modeling data generation method |
| CN109218524A (en) * | 2018-08-27 | 2019-01-15 | 山东大唐宅配家居有限公司 | The cell phone application and method that house measurement generates floor plan are carried out based on video recording of taking pictures |
| CN110059351A (en) * | 2019-03-13 | 2019-07-26 | 平安城市建设科技(深圳)有限公司 | Mapping method, device, terminal and the computer readable storage medium in house |
| CN110136244A (en) * | 2019-04-12 | 2019-08-16 | 平安城市建设科技(深圳)有限公司 | Three-dimensional house type model generating method, device, equipment and storage medium |
-
2019
- 2019-09-06 CN CN201910845562.9A patent/CN110686648A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150116509A1 (en) * | 2013-10-31 | 2015-04-30 | InsideMaps Inc. | Methods and apparatuses for capturing images used for generating 3d models of rooms |
| JP2018024502A (en) * | 2016-08-09 | 2018-02-15 | 株式会社日立ビルシステム | Elevator machine room drawing generation device, elevator machine room modeling data generation device, elevator machine room drawing generation method, and elevator machine room modeling data generation method |
| CN106484959A (en) * | 2016-09-19 | 2017-03-08 | 上海斐讯数据通信技术有限公司 | A kind of house type drawing drawing method and rendering apparatus |
| CN109218524A (en) * | 2018-08-27 | 2019-01-15 | 山东大唐宅配家居有限公司 | The cell phone application and method that house measurement generates floor plan are carried out based on video recording of taking pictures |
| CN110059351A (en) * | 2019-03-13 | 2019-07-26 | 平安城市建设科技(深圳)有限公司 | Mapping method, device, terminal and the computer readable storage medium in house |
| CN110136244A (en) * | 2019-04-12 | 2019-08-16 | 平安城市建设科技(深圳)有限公司 | Three-dimensional house type model generating method, device, equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 吴环: "住宅户型平面生成系统", <<中国优秀硕士论文电子期刊网工程科技Ⅱ辑>> * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111932666B (en) * | 2020-07-17 | 2024-04-26 | 北京字节跳动网络技术有限公司 | Method and device for reconstructing three-dimensional virtual image of house and electronic equipment |
| CN111932666A (en) * | 2020-07-17 | 2020-11-13 | 北京字节跳动网络技术有限公司 | Reconstruction method and device of house three-dimensional virtual image and electronic equipment |
| CN112945085A (en) * | 2020-08-03 | 2021-06-11 | 深圳市明源云链互联网科技有限公司 | Measurement method and electronic device |
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| CN114219007A (en) * | 2021-11-23 | 2022-03-22 | 慧之安信息技术股份有限公司 | Method and device for judging house type reasonableness based on image matching |
| CN114416244A (en) * | 2021-12-30 | 2022-04-29 | 北京城市网邻信息技术有限公司 | Information display method and device, electronic equipment and storage medium |
| CN115904188A (en) * | 2022-11-21 | 2023-04-04 | 北京城市网邻信息技术有限公司 | Method and device for editing house-type graph, electronic equipment and storage medium |
| CN115904188B (en) * | 2022-11-21 | 2024-05-31 | 北京城市网邻信息技术有限公司 | Editing method and device for house type diagram, electronic equipment and storage medium |
| CN116311325A (en) * | 2023-02-16 | 2023-06-23 | 江苏艾佳家居用品有限公司 | Automatic scale identification system based on artificial intelligence model |
| CN116311325B (en) * | 2023-02-16 | 2023-10-27 | 江苏艾佳家居用品有限公司 | Automatic scale identification system based on artificial intelligence model |
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| CN116740276A (en) * | 2023-06-09 | 2023-09-12 | 北京优贝卡科技有限公司 | House type diagram generation method, device, equipment and storage medium |
| CN116721237A (en) * | 2023-06-09 | 2023-09-08 | 北京优贝卡科技有限公司 | House type wall editing method, device, equipment and storage medium |
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