JP4738871B2 - Rug manufacturing method and rug providing method - Google Patents

Description

  The present invention relates to a technique for cutting and providing a rug according to the shape of a target surface on which the rug is to be laid.

  2. Description of the Related Art Conventionally, a rug providing business that cuts a rug and provides it to a customer in accordance with the shape of a target surface on which a rug such as a table, a desk, a floor of a room, or a car bed is to be laid is known. The rug includes, for example, a mat, a carpet, a vinyl sheet on an office desk, and the like. The conventional rug providing technology that realizes the rug providing business is to obtain a drawing expressing the dimensional shape of the target surface, measure the dimensional shape of the target surface, or create a pattern that molds the target surface, The rug was cut into a dimensional shape that matched the dimensional shape of the target surface.

  However, a drawing representing the dimension and shape of the target surface is not always available. For example, depending on the product such as the table, the instruction manual may not be accompanied by a drawing. Moreover, it may not be easy to measure the dimensional shape of the target surface. For example, when the target surface is not a simple shape such as a rectangle or a circle, but a complex curve is used as an outline, it is practically impossible to measure the size and shape. In addition, the method of producing a pattern paper by taking a target surface has a problem that it takes time and effort to prepare the paper in addition to the preparation of a full-size sheet. In addition, in the method using measurement and mold making, it is necessary for the salesperson of the rug provider to go to the customer to perform measurement, mold making, etc. This also has the problem of requiring labor and cost. .

  The present invention has been made in view of the above problems, and an object of the present invention is to obtain a rug manufacturing technique and a rug providing technique that make it possible to easily provide a rug that matches the size and shape of the target surface.

  In order to solve the above problems and achieve the above object, the invention according to claim 1 is a rug manufacturing method, wherein a sheet having a specified size is arranged on a target surface on which the rug is to be laid, and the target surface is photographed. An image data acquisition step for acquiring the image data obtained by the above, an arbitrary image data on the image data based on the image of the sheet and the value of the specified dimension included in the image data acquired by the image data acquisition step A calculation step for deriving a conversion equation that associates the coordinate value of the target surface with the coordinate value on the target surface, and the coordinate value of each point of the contour of the target surface on the image data on the target surface based on the conversion equation A conversion step for converting into a coordinate value and a rug cutting step for cutting the rug according to the coordinate value converted in the conversion step are provided.

  According to this configuration, image data obtained by arranging a sheet having a predetermined size on the target surface on which the rug is to be laid and photographing the target surface is acquired, and an image of the sheet included in the acquired image data and Based on the value of the prescribed dimension, a conversion formula that correlates an arbitrary coordinate value on the image data with a coordinate value on the target surface is derived. For this reason, the conversion formula which compensates the influence of the camera angle on the target surface and associates the coordinate value on the image data with the coordinate value on the target surface is derived. Furthermore, since the coordinate value of each point of the contour of the target surface on the image data is converted into the coordinate value on the target surface based on the conversion formula, the dimensional shape of the target surface can be reproduced. Further, since the rug is cut according to the converted coordinate values, a rug that matches the dimensional shape of the target surface is obtained. As described above, according to the present configuration, based on the image data obtained by a simple method of photographing the target surface on which a plurality of sheets having the prescribed dimensions are arranged at an unrestricted camera angle, the target surface has a dimensional shape. Matched rugs can be produced. Therefore, it is possible to leave the shooting of the target surface to the customer. In other words, in this configuration, the contractor side acquires an image or image data obtained by photographing by the customer, and when the image is acquired, the image is converted into image data and then the rug is cut based on the image data. The service providing business of manufacturing and providing to customers is possible.

  The invention according to claim 2 is the rug manufacturing method according to claim 1, wherein the image data acquisition step shoots the target surface by arranging a plurality of sheets having a predetermined size as the sheet on the target surface. And obtaining the image data obtained from the image data based on the images of the plurality of sheets and the values of the specified dimensions included in the image data obtained by the image data obtaining step. A conversion formula for associating an arbitrary coordinate value on the data with a coordinate value on the target surface is derived.

  According to this configuration, image data obtained by photographing a target surface by arranging a plurality of sheets having a prescribed size on a target surface on which a rug is to be laid is acquired, and a plurality of images included in the acquired image data are acquired. A conversion formula for associating an arbitrary coordinate value on the image data with a coordinate value on the target surface based on the image of the sheet and the value of the specified dimension is derived. For this reason, a conversion formula is obtained that compensates for the influence of the camera angle on the target surface and attenuates the influence of the lens distortion of the camera, and accurately associates the coordinate value on the image data with the coordinate value on the target surface. Thereby, the dimensional shape of the target surface can be accurately reproduced, and a rug that matches the dimensional shape of the target surface with high accuracy can be obtained.

  Invention of Claim 3 is a rug manufacturing method of Claim 1 or 2, Comprising: The said image data acquisition process acquires the said image data through a network.

  According to this configuration, since the image data is acquired through the network, the acquisition of the image data obtained by photographing the target surface located in the remote place is quickly and easily performed.

  Invention of Claim 4 is the rug manufacturing method in any one of Claim 1 thru | or 3, Comprising: The sample cutting process which cuts a sample sheet according to the said coordinate value converted by the said conversion process, The said sample sheet A determination result receiving step for receiving a determination result as to whether or not the dimensional shape is suitable for the target surface, wherein the rug cutting step is such that the dimensional shape is appropriate in the determination result receiving step. It is executed on condition that the determination result is received.

  According to this configuration, the sample sheet is cut according to the coordinate values converted in the conversion step. Thereby, the user of the rug can determine whether or not the dimensional shape of the sample sheet is suitable for the target surface by temporarily installing the sample sheet on the target surface. Since the cutting of the rug is performed on the condition that the determination result that the dimensional shape of the sample sheet is appropriate is received, it is normal that an expensive rug is manufactured with a low-precision dimensional shape. It can be avoided.

  Invention of Claim 5 is a rug providing method, Comprising: The said surface which carries out the process of performing the rug manufacturing method in any one of Claim 1 thru | or 4, and the said rug cut by the said rug cutting process is said object surface. It is provided with a rug transporting process for transporting to the place where it is located.

  According to this configuration, since the rug manufactured by the rug manufacturing method of the present invention is transported to the ground where the target surface on which the rug is to be laid is located, the user of the rug is cut from the photographing of the target surface. It is not necessary to move to the land of the rug provider until it is acquired. That is, according to the present configuration, a desired rug can be provided without the user of the rug taking time.

  Invention of Claim 6 is a rug providing method, Comprising: The process which performs the rug manufacturing method of Claim 4, The said sample sheet cut | disconnected by the said sample cutting process WHEREIN: The said determination process WHEREIN: And a sample sheet transporting process for transporting to the ground where the target surface is located.

  According to this configuration, the sample sheet is cut according to the coordinate values converted in the conversion step, and the cut sample sheet is conveyed to the ground where the target surface is located. Thereby, the user of the rug can determine whether or not the dimensional shape of the sample sheet is suitable for the target surface by temporarily installing the sample sheet on the target surface. Since cutting of the rug is performed on the condition that the result of determination that the dimensional shape of the sample sheet is appropriate is received, usually an expensive rug is provided to the user with a low-precision dimensional shape. Can be avoided.

  As described above, according to the present invention, on the basis of image data obtained by a simple method of photographing a target surface on which a sheet having a specified size is arranged at an unrestricted camera angle, the target surface matches the size and shape of the target surface. A rug can be provided.

(1. Overall configuration)
FIG. 1 is a block diagram showing a system configuration used to implement a rug manufacturing method and a rug providing method according to an embodiment of the present invention. This rug providing system 300 includes customer-side equipment 100, service provider-side equipment 200, a network 50, and transport means 90 such as a truck. The customer-side equipment 100 includes an object 5 such as a table having an object surface 1 on which a rug is to be laid, a digital camera 10, and a terminal device 20.

  The digital camera 10 is used to acquire image data of the target surface 1 by photographing the target surface 1. When photographing the target surface 1, the sheets 2 and 3 are arranged on the target surface 1 as described later. The sheets 2 and 3 are paper pieces having prescribed dimensions according to standards such as A3 standard, B4 standard, and A4 standard. Such a piece of paper is easily and inexpensively available to customers as copy paper, for example.

  The terminal device 20 is a device that can transmit image data acquired by the digital camera 10 through the network 50. Examples of the terminal device 20 include a general-purpose personal computer, a mobile communication terminal such as a mobile phone and a PDA (Personal Digital Assistance). The terminal device 20 includes an input unit 21, a storage unit 22, a communication interface 23, and an input device 30. The input unit 21 receives and captures image data acquired by the digital camera 10 and input data input from the input device 30 such as a keyboard or a mouse. The storage unit 22 stores data such as image data captured by the input unit 21. The communication interface 23 transmits image data stored in the storage unit 22 to the network 50 in accordance with an operation of the input device 30.

  When the terminal device 20 is a mobile phone, for example, an operation button of the mobile phone corresponds to the input device 30. When the terminal device 20 is a camera-equipped mobile phone, the digital camera 10 is integrated with the terminal device 20.

  The network 50 is constructed based on a physical communication path such as a public telephone line, a cable TV line, and a mobile phone wireless communication line, for example, and performs communication such as data based on an Internet-related protocol such as TCP / IP. It is a communication network that enables it.

  The service provider side equipment 200 includes an information processing device 60 and a cutting device 80. The information processing apparatus 60 is, for example, a personal computer, and is configured to be able to receive image data transmitted from the terminal device 20 on the customer side through the network 50. More specifically, the information processing device 60 includes a communication interface 61, a storage unit 62, a calculation unit 63, an output unit 64, an input unit 65, a display device 70, and an input device 71.

  The input unit 65 receives and captures input data input from an input device 71 such as a keyboard or a mouse. The communication interface 61 receives image data sent from the terminal device 20 through the network 50. The storage unit 62 stores image data received by the communication interface 61. The calculation unit 63 calculates the size and shape of the rug to be cut based on the image data stored in the storage unit 62 in accordance with the operation of the input device 71. The output unit 64 outputs coordinate data representing the calculated size and shape of the rug to the cutting device 80 or the display device 70 in accordance with the operation of the input device 71.

  The cutting device 80 cuts the rug 8 as a material based on the coordinate data representing the dimensional shape of the rug to be cut, which is output from the information processing device 60, and the rug as a finished product having the dimensional shape desired by the customer. 7 is an apparatus for forming the apparatus. The cutting device 80 has a structure similar to, for example, an XY plotter, and includes a stage 83 for placing and fixing the rug 8, an arm 81 that translates on the stage 83 in the X direction, and an arm 81 Has a blade holding portion 82 that translates in the Y direction. A blade (not shown) is attached to the blade holding portion 82. The cutting device 80 realizes the cutting of the rug 8 based on the coordinate data by moving the arm 81 and the blade holding unit 82 based on the coordinate data sent from the information processing device 60.

  The conveyance means 90 conveys the rug 7 as a finished product, which has been cut, from the service provider site to the customer site, and is, for example, a freight car.

  FIG. 2 is a sequence diagram showing an outline of an execution procedure of the rug providing method according to the present embodiment. As assumed in the following example, a rug provider usually provides a service to an unspecified number of customers at unspecified times according to customer orders. However, the rug providing method of the present invention is not limited to this form.

  As shown in FIG. 2, when a person who becomes a customer for a rug provider wants to order a rug, the person (hereinafter referred to as a customer) has a plurality of prescribed dimensions on the target surface 1 on which the rug is to be laid. The sheets 2 and 3 are arranged (step S1). The plurality of sheets 2 and 3 may be two sheets. As the sheets 2 and 3, copy paper of A3 standard or the like is particularly convenient. In order to improve the calculation accuracy of the dimensional shape of the target surface 1 by the information processing device 60, for example, the two sheets 2 and 3 are desirably placed at both ends of the target surface 1 so that the distance between them is increased. The orientations of these sheets 2 and 3 are arbitrary, but in order to increase the calculation accuracy, it is desirable that the orientations are close to each other.

  Next, the customer photographs the target surface 1 on which the sheets 2 and 3 are placed with the digital camera 10 (step S2). The angle between the target surface 1 and the digital camera 10, that is, the camera angle is arbitrary, but in order to improve the calculation accuracy, the image is taken from an angle close to the front direction with respect to the target surface 1, for example, a direction close to directly above Is desirable.

  Next, the customer connects the digital camera 10 to the terminal device 20 and operates the input device 30 to transfer the image data of the target surface 1 acquired by the digital camera 10 by photographing to the terminal device 20. Subsequently, the customer operates the input device 30 to transmit the image data of the target surface 1 taken into the terminal device 20 to the information processing device 60 owned by a desired service provider via the network 50 (above). Step S3). Although omitted in FIG. 2, as a premise for transmitting image data, an order is placed between a customer and a service provider (hereinafter abbreviated as “trader” as appropriate) through the terminal device 20 or a normal telephone. A commercial contract for an order is made.

  Next, the information processing apparatus 60 included in the service provider side facility 200 receives the transmitted image data by the communication interface 61 (step S11). Subsequently, the information processing apparatus 60 stores the received image data in the storage unit 62 (step S12). Next, the information processing device 60 calculates the size and shape of the rug 7 to be cut based on the image data by the calculation unit 63 (step S13). The detailed procedure of the calculation process in step S13 will be described later.

  Although not shown in FIG. 2, when the calculation of the dimensional shape of the rug 7 to be cut is completed, the operator operates the input device 71 to display the calculation result on the display device 70, and the dimensional shape is displayed. On the basis of this, an estimate may be made and the estimated amount may be presented to the customer. The estimated amount may be presented from the information processing device 60 to the terminal device 20 through the network 50, or may be provided from the supplier to the customer through a normal telephone. The trader may transmit image data representing the size and shape of the rug 7 obtained by the calculation from the information processing device 60 to the terminal device 20 simultaneously with the presentation of the estimated amount. Upon receipt of the estimated amount, the customer determines whether the presented amount is appropriate and communicates the determination result to the supplier. When the trader obtains an answer to approve the estimated amount, the process proceeds to step S14 and subsequent steps.

  In step S <b> 14, the supplier first attaches the sample sheet to the cutting device 80. As the sample sheet, an inexpensive sheet such as paper is used. Next, the trader operates the input device 71 to transfer the dimensional shape of the rug 7 calculated by the calculation unit 63, that is, coordinate data representing the coordinate value of the contour line, from the output unit 64 to the cutting device 80. Let Next, the trader operates the cutting device 80 to cut the sample sheet based on the coordinate data (step S14).

  Next, the trader sends the cut sample sheet so as to be delivered to the customer by the conveying means 90 (step S15). The step of transporting the sample sheet by the transporting unit 90 (step S21) may be performed by a contractor different from the service provider. When the customer receives the conveyed sample sheet (step S4), the customer temporarily places the sample sheet on the target surface 1 (step S5). Thereby, the customer determines whether or not the dimensional shape of the sample sheet is appropriate, that is, whether or not it matches the dimensional shape of the target surface 1 (step S6). Thereafter, the customer informs the trader about the suitability of the dimensions and shapes (step S7). The answer may be transmitted from the terminal device 20 to the information processing device 60, or may be transmitted from the customer to the dealer by a normal telephone or the like.

  When the trader receives a reply from the information processing apparatus 60 or the like (step S16), the trader determines whether or not the reply content means appropriateness of the dimensions (step S17). If the response content indicates that the dimensional shape is not appropriate (No in step S17), the contractor operates the input device 30 again to calculate the dimensional shape of the rug 7 in the calculation unit 63. Is redone (step S13). On the other hand, when the response contents indicate that the dimensions and shapes are appropriate (Yes in step S17), the trader places and fixes the rug 8 as a material on the cutting device 80. Next, the trader operates the cutting device 80 to cut the rug 8 based on the coordinate data sent from the output unit 64 (step S18).

  Next, the trader ships the rug 7 after cutting so as to be delivered to the customer by the conveying means 90 (step S19). The step of transporting the rug 7 by the transport means 90 (step S22) may be handled by a contractor different from the service provider as in step S21. When the customer receives the transported rug 7 (step S8), the customer places the rug 7 on the target surface 1 for use (step S9).

  The customer pays the merchant at the same time or after receiving the rug 7. The payment may be made, for example, through the hand of the carrier that carries the transfer in step S22, or may be made in the form of electronic money through the terminal device 20. Thus, a series of processes for providing a rug to a customer is completed.

  In the procedure of FIG. 2, the processing relating to the sample sheet (steps S14 to S17, S21, S4 to S7) is omitted, and the processing shifts directly from the rug shape calculation processing (step S13) to the rug cutting processing (step S18). You may do it. In addition, each process performed between the customer and the merchant, for example, exchange of image data, transport of the sample sheet, transport of the rug 7, presenting an estimate, presenting various answers, paying the price, etc. It is also possible to intervene through an intermediate distributor such as a communication terminal device installed by the intermediate distributor.

(2. Calculation processing)
Next, the process of step S13 executed by the calculation unit 63 of the information processing device 60 will be described in detail. FIG. 3 is a flowchart showing the expanded processing procedure of step S13. The process of step S13 is roughly divided into a pre-process (step S51), an analysis process (step S52), and a post-process (step S53).

  To start preprocessing, the trader operates the input device 71 to select image data to be calculated from the image data stored in the storage unit 62, and to the calculation unit 63. Input (step S31). Thereby, for example, target image data is transferred from a storage unit 62 as an external storage device such as a hard disk device to a main storage device (not shown). The information processing device 60 is usually operated by an operator (operator) such as an engineer who belongs to a trader as a business entity, but also includes members and employees of the trader. Expressed as a trader.

Next, the trader operates the input device 71 to correct lens distortion (step S32). FIG. 4 is a conceptual diagram of an optical system of the digital camera 10 for explaining lens distortion. When the lens 40 of the digital camera 10 has no distortion, the light incident on the lens 40 at an incident angle θ is from a center point I ₀ to C ₀ tan θ on a light receiving surface 41 such as a CCD (Charge Coupled Device) surface. with distance forms an image point I _theta that apart. However, since the actual lens 40 has lens distortion called radial distortion (radial distortion), the light forms an image at a point I ′ _θ that is displaced from the point I _θ by a displacement d. The displacement d is expressed by the following equation (1).

The displacement d can be approximately expressed by the following _equation 2 using the distance r from the center point I ₀ on the light receiving surface 41.

By appropriately giving the coefficients a _{1 to} a ₄ , the displacement d can be determined, and by using the displacement d, the influence of lens distortion appearing in the image data can be compensated. In order to obtain the displacement d, for example, a pattern 42 shown in FIG. 5 is used. The pattern 42 is composed of dots arranged in a matrix at equal intervals. The pattern 42 is photographed with the same type of camera as the digital camera 10 under the same photographing conditions (shutter speed, telephoto degree, etc.), and coefficients a _{1 to} a ₄ are calculated from the image data obtained by using the equation (2). Can be determined. Since the image data sent from the customer is accompanied by information on the type and shooting conditions of the digital camera 10 used for shooting, the contractor can identify the type and shooting conditions of the digital camera 10 used by the customer. It is. Alternatively, the pattern 42 is made public on the website, the customer downloads and prints the pattern 42, and the digital camera 10 captures the pattern 42 and sends it to the vendor together with the image of the target surface 1. Also good.

The image data of the pattern 42 is stored in the storage unit 62 through the input unit 65, for example. The calculation unit 63 specifies the position of each dot on the image data of the pattern 42, calculates the coordinate value, and executes a calculation for obtaining the coefficients a _{1 to} a ₄ based on the coordinate value. Alternatively, the position of each dot may be taught to the calculation unit 63 on the pattern 42 displayed on the display device 70 by the operator operating the input device 71.

  Next, the trader operates the input device 71 to input the dimensional shape of the sheets 2 and 3 used by the customer when photographing the target surface 1 (steps S33 and S34), and the sheet on the image data. The position of the reference point on 2 and 3 is input (steps S35 and S36). FIG. 6 is a schematic view illustrating the image data of the target surface 1 obtained by photographing with the digital camera 10. FIG. 6 illustrates image data obtained by photographing the target surface 1 almost directly above the target surface 1. In order to cut the rug 7 with higher accuracy, it is desirable to shoot at a camera angle close to the target surface 1 as illustrated in FIG. However, in general, even when the target surface 1 is photographed from an arbitrary direction including an oblique direction, a camera for the size and shape of the target surface 1 on the image data is obtained by an analysis process (step S52) described later. Arithmetic is performed to offset or reduce the effects of corners. Therefore, the customer does not need to select the camera angle strictly.

  One of the plurality of sheets 2 and 3 illustrated in FIG. 6 is used as a reference sheet and the other is used as an adjustment sheet. Whichever is selected as the reference sheet and the adjustment sheet, there is no problem. Here, the sheet 2 is selected as the reference sheet, and the sheet 3 is selected as the adjustment sheet. In step S <b> 33, the trader operates the input device 71 to input the dimension shape of the reference sheet 2. Similarly, in step S <b> 34, the contractor operates the input device 71 to input the dimension shape of the adjustment sheet 3. Specifically, if the reference sheet 2 and the adjustment sheet 3 are copy sheets based on the A3 standard or the like, it is sufficient to input the vertical length and the horizontal length.

  On the other hand, the trader may input the coordinate values of the reference points on the contours of the reference sheet 2 and the adjustment sheet 3. In this case, each coordinate value to be input is a coordinate value on the plane on which the reference sheet 2 and the adjustment sheet 3 are placed, and a certain coordinate value (for example, (0, 0)) is used as a reference. Things are enough. Considering that the reference sheet 2 and the adjustment sheet 3 are rectangular, their four corners are most suitable for the reference point. When the dimensions and shapes of the reference sheet 2 and the adjustment sheet 3 are input by inputting the vertical length and the horizontal length, the calculation unit 63 calculates the reference point on the contour from these values. Calculate the coordinate values. As described above, based on some data input by the supplier, the calculation unit 63 acquires reference points on the contours of the reference sheet 2 and the adjustment sheet 3, for example, coordinate values of four corners. These coordinate values are tentatively referred to as unique coordinate values in order to distinguish them from coordinate values on image data described later.

  In step S35, the supplier inputs the position of the reference point on the reference sheet 2 on the image data. Similarly, in step S36, the trader inputs the position of the reference point on the adjustment sheet 3 on the image data. In the example of FIG. 6, since the reference sheet 2 and the adjustment sheet 3 are rectangular, the trader selects four corners as reference points and inputs their positions. In order to input the position, the trader uses the input device 71 such as a mouse on the image data displayed on the display device 70 as shown in FIG. Specify the corner position. FIG. 7 shows a state in which a circular mark is displayed at a part where the position is specified for the reference sheet 2 and a triangular mark is displayed at a part where the position is specified for the adjustment sheet 3. The calculation unit 63 calculates the coordinate value on the image data of the designated part.

  In order to increase the positional accuracy of the input reference point, it is desirable that the trader enlarges and displays the image data on the display device 70 and designates the reference point with the mouse or the like on the enlarged image data. Thereby, for example, the position of the reference point can be specified with an accuracy of 8 times or more of the pixel.

  Next, the trader operates the input device 71 to cause the calculation unit 63 to execute analysis processing (step S52). The analysis process is a process for deriving a conversion formula that associates an arbitrary coordinate value on the image data with a coordinate value on the target surface 1. When the analysis process starts, the calculation unit 63 executes an orientation process (step S37). The orientation process is a process for deriving the conversion formula from the unique coordinate value of the reference point of the reference sheet 2 and the coordinate value of the reference point on the image data.

  FIG. 8 is an explanatory diagram illustrating the positional relationship of the reference points of the reference sheet 2 between the plane L on the image data and the plane L ′ along the target surface 1. The reference points A, B, C, and D on the plane L correspond to the reference points A ′, B ′, C ′, and D ′ on the plane L ′, respectively. The coordinate values (X, Y) of the reference points A ′, B ′, C ′, D ′ on the plane L ′ have already been acquired as the unique coordinate values of the reference points in step S33. Further, the coordinate values (x, y) of the reference points A, B, C, and D on the plane L are acquired in step S35. Between the coordinate value (x, y) and the coordinate value (X, Y) of each reference point, the following relationship is established.

Here, the eight coefficients A _{1 to} A ₃ , B _{1 to} B ₃ , C ₁ and C ₂ are conversion coefficients determined by the camera angle. The relationship of Equation 3 can be rewritten as the following relationship of Equation 4.

A pair of relational expressions shown in Equation 4 is established for each of the four reference points A to D. Accordingly, by inputting the coordinate values (x, y) and the coordinate values (X, Y) for the reference points A to D, eight equations can be obtained. By solving these eight equations, eight unknown coefficients A _{1 to} A ₃ , B _{1 to} B ₃ , C ₁ and C ₂ can be determined. The calculation unit 63 calculates eight unknown coefficients A _{1 to} A ₃ , B _{1 to} B ₃ , C ₁ and C ₂ as solutions of the simultaneous equations as the orientation process (step S37). Since the rectangular reference sheet 2 has four corners corresponding to four necessary reference points, it is suitable as the reference sheet 2.

  Instead of inputting the coordinate values (x, y) for the reference points A to D and the corresponding coordinate values (X, Y), vectors U1 to U4 connecting the reference points as shown in FIG. X and y components and the corresponding X and Y components of the vector may be input.

  If the lens distortion described above is canceled with high accuracy by the correction in step S32, the coordinate value of the contour line of the target surface 1 on the image data is obtained by using the conversion formula obtained in step S37. Therefore, the coordinate value of the contour line of the actual target surface 1 can be obtained with high accuracy. However, the position of the reference point input in steps S35 and S36 usually includes an error. In order to reduce the influence of the input reference point position error, an error determination process (step S38) and an adjustment process (step S39) using the adjustment sheet 3 are performed. Furthermore, it is usual that the influence of lens distortion remains slightly even after the correction in step S32. The wider the target surface 1, the greater the effect. The processing of steps S38 and S39 also brings about an effect of suppressing the influence of the lens distortion on the contour shape of the target surface 1 by averaging the influence of the lens distortion over the entire target surface 1.

  FIG. 9 is a schematic diagram of the target surface 1 for explaining the error determination processing and the adjustment processing. FIG. 9A shows image data on the plane L of the target surface 1, and FIG. The image data on the plane L ′ of the target surface 1 is shown. In FIG. 9A, the sheets 2 and 3 are placed on the target surface 1 in a direction slightly deviated from desirable directions parallel to each other, and the target surface 1 is photographed from an oblique direction. An image of the target surface 1 on the plane L in a general case is drawn.

  In the error determination process, the calculation unit 63 converts the image data of the target surface 1, the reference sheet 2, and the adjustment sheet 3 on the plane L shown in FIG. 9A using the conversion formula obtained in step S37. Thus, image data on the plane L ′ shown in FIG. 9B is obtained. At the same time, the calculation unit 63 uses the conversion formula obtained in step S37 to obtain the coordinate values (x, y) on the plane L of the four reference points of the adjustment sheet 3 acquired in step S36. To the coordinate value (X, Y).

  In FIG. 9B, reference numeral 102 represents the original shape of the reference sheet 2 and is temporarily referred to as a specific reference sheet. Similarly, reference numeral 103 represents the original shape of the adjustment sheet 3 and is temporarily referred to as a specific adjustment sheet. The shape of the unique reference sheet 102 is given in step S33, and the shape of the unique adjustment sheet 103 is given in step S34. Since the conversion formula is obtained based on the coordinate value (x, y) of the reference point of the reference sheet 2 and the coordinate value (X, Y) of the reference point of the specific reference sheet 102, the conversion formula of FIG. In the image, the image of the reference sheet 2 coincides with the image of the specific reference sheet 102 arranged in an appropriate position and direction.

  Next, an error between the coordinate value (X, Y) of the reference point of the obtained adjustment sheet 3 and the coordinate value (X, Y) of the reference point of the specific adjustment sheet 103 obtained in step S34 is less than the reference value. (Step S38), the coordinate value (x, y) of the reference point of the reference sheet 2 in FIG. 9A is changed (Step S39). Desirably, the calculating part 63 defines the vectors U1-U4 which connect the reference | standard point of the reference | standard sheet 2 of Fig.9 (a), and calculates x component and y component of these vectors U1-U4. FIG. 9A illustrates the component U1x that is the x component of the vector U1 and the component U1y that is the y component. Further, the calculation unit 63 defines vectors V1 to V4 that connect the reference points of the adjustment sheet 3 in FIG. 9B, and calculates the X component and the Y component of these vectors V1 to V4.

  The calculation unit 63 further defines a corresponding vector (not shown) for the specific adjustment sheet 103 placed at an appropriate position, and calculates the X component and the Y component thereof. The calculation unit 63 further calculates an X component error that is an error between the X component of the vectors V1 to V4 of the adjustment sheet 3 and the X component of the vector (not shown) of the specific adjustment sheet 103, and the adjustment sheet 3 A Y component error, which is an error between the Y component of the vectors V1 to V4 and the Y component of the vector (not shown) of the inherent adjustment sheet 103, is calculated. The X component error and the Y component error are calculated by arranging the specific adjustment sheet 103 in an appropriate direction with respect to the adjustment sheet 3 so that these values are minimized.

  If any of the X component error and the Y component error does not reach the reference value (“large error” in step S38), the arithmetic unit 63 executes the process of step S39. For example, if both the X component error and the Y component error have not reached less than the reference value, the arithmetic unit 63 first changes the value of the x component in the order of the vectors U1 to U4, for example. That is, first, the computing unit 63 changes the value of the x component U1x of the vector U1 in the positive direction or the negative direction, for example, with a width that is 1/1000 times that of one pixel. Next, the computing unit 63 obtains a conversion equation corresponding to the changed value of the vector U1 (step S37). Next, the calculation unit 63 calculates an error between the X component of the vectors V1 to V4 of the adjustment sheet 3 and the X component of the vector (not shown) of the corresponding unique adjustment sheet 103 based on the new conversion formula, that is, X The component error is evaluated (step S38). The X component error is evaluated using, for example, the least square method for the four components. The calculation unit 63 repeats the processes of steps S38, S39, and S37 until the X component error becomes less than the reference value.

  When the X component error becomes less than the reference value in step S38, the calculation unit 63 repeats the same processing for the x component of the vector U3 until the X component error becomes less than the reference value. Similarly, the same process is repeated for the x component of the vector U2 and the x component of the vector U4 until the X component error becomes less than the reference value. When the values that make the X component error less than the reference value are determined for the x components of all the vectors U1 to U4, the arithmetic unit 63 then performs the Y component for the y components of the vectors U1 to U4 by the same procedure as described above. Search for a value that makes the error less than the reference value.

  That is, the computing unit 63 changes the value of the y component U1y of the vector U1 in the positive direction or the negative direction, for example, with a width 1/1000 times that of one pixel (step S39). Next, the computing unit 63 obtains a conversion equation corresponding to the changed value of the vector U1 (step S37). Next, the calculation unit 63 calculates an error between the Y component of the vectors V1 to V4 of the adjustment sheet 3 and the Y component of the corresponding vector (not shown) of the specific adjustment sheet 103 based on the new conversion formula, that is, Y The component error is evaluated (step S38). The Y component error is evaluated using, for example, the least square method for the four components. The calculation unit repeats the processes in steps S38, S39, and S37 until the Y component error becomes less than the reference value.

  When the Y component error becomes less than the reference value in step S37, the calculation unit 63 repeats the same processing for the y component of the vector U3, for example, until the Y component error becomes less than the reference value. Similarly, the same process is repeated for the y component of the vector U2 and the y component of the vector U4 until the Y component error becomes less than the reference value. When the value that makes the X component error less than the reference value is determined for the x component of all the vectors U1 to U4 and the value that makes the Y component error less than the reference value is determined for the y component (“small error” in step S38), Advances the process to post-processing (step S53). Note that the determination in step S38 may be performed by the trader comparing the numerical value of the error displayed on the display device 70 with a reference value. Further, the trader may change the x component and the y component of the vectors U1 to U4 in step S39 by manual input through the input device 71.

  In the post-processing, the trader traces the contour of the target surface 1 on the image data displayed on the display device 70 illustrated in FIG. 6 or FIG. 9A by operating the input device 71 such as a mouse. (Step S40). That is, the supplier designates each point on the contour of the target surface 1. Accordingly, the calculation unit 63 calculates the coordinate value on the image data of each designated point. Further, the computing unit 63 converts the coordinate value of each point on the contour as the coordinate value on the L plane into the coordinate value on the L ′ plane in accordance with the conversion formula determined by the final orientation process (step S37).

  Since the target surface 1 is wide, the customer may shoot the target surface 1 in a plurality of times. In this case, as illustrated in FIG. 10, the customer, for example, three sheets so that a plurality of sheets (two sheets in the example of FIG. 10) are included in each of the image data 11A and 11B obtained by each photographing. The sheets 2A, 3A (or 2B), and 3B may be arranged on the target surface 1 to perform shooting. In the example of FIG. 10, the image data 11A includes a portion extending from the left side to the center of the target surface 1 and sheets 2A and 3A placed thereon, and the image data 11B includes the target surface 1 A portion extending from the center to the right side and sheets 2B and 3B placed thereon are included.

  The trader performs the processing from step S33 to S40 individually for the image data 11A and 11B, and then operates the input device 71 to cause the calculation unit 63 to have the contour of the target surface 1 obtained in step S40. The coordinate values of each point are combined. At this time, as shown in FIG. 11, the calculation unit 63 performs composition so that the sheets 3A (or 2B) included in both the image data 11A and 11B overlap on the L ′ plane (step S41). If the customer is photographing the target surface 1 at a time, the combining process in step S41 is unnecessary.

  When step S40 or S41 ends, the contractor operates the input device 71 to visually confirm the dimensional shape of the contour of the target surface 1 based on the coordinate value of the contour obtained in step S40 or S41. In order to display the contour image on the display device 70 or to cut the sample sheet or the rug 8, coordinate data representing the coordinate values obtained in step S40 or S41 is output to the cutting device 80 (step S42). ).

  Note that the coordinate data sent from the information processing device 60 to the cutting device 80 may include not only the coordinate values obtained in step S40 or S41 but also coordinate values that interpolate those coordinate values. Based on the coordinate values obtained in S40 or S41, the coordinate values of a predetermined curve closest to those coordinate values may be converted. Even when the cutting device 80 performs cutting based on these coordinate values, there is no change in that cutting is performed based on the coordinate values obtained in step S40 or S41, that is, according to the coordinate values. Thus, the process of step S13 (FIG. 2) ends.

(3. Other embodiments)
In addition to the above embodiments, the present invention can employ the following embodiments.

  (1) In the above-described embodiment, an example in which rectangular copy paper based on the standard such as A3 is used as the sheets 2 and 3 has been described. However, the size and shape can be negotiated with the customer in advance. As long as four or more points can be specified as the reference point, a sheet having an arbitrary size and shape can be used. However, rectangular copy paper based on the standard such as A3 can be easily and inexpensively obtained on the customer side, and is also suitable as a specific example of the sheets 2 and 3 because it has high dimensional accuracy.

  (2) In the above embodiment, an example in which a customer photographs the target surface 1 with the digital camera 10 has been described. On the other hand, the present invention can also be applied when a customer photographs the target surface 1 with a silver salt camera. In this case, an image (either negative or positive) taken on the customer side is read by, for example, a scanner, converted into image data, and the image data is stored in the service provider from the terminal device 20. The image may be transmitted to the processing device 60, or the captured image may be transmitted to the service provider as it is. In the latter case, the service provider may convert the image into image data using a scanner and store the image data in the storage unit 62 through the input unit 65 of the information processing apparatus 60.

  (3) In the above embodiment, the target surface is processed by processing image data obtained by photographing the target surface 1 by arranging a plurality of sheets 2 and 3 on the target surface 1 to be laid. 1 was accurately reproduced. On the other hand, by arranging a single sheet 2 on the target surface 1 and processing image data obtained by photographing the target surface 1, the dimensional shape of the target surface 1 is reproduced. Also good. In this case, in the processing procedure of FIG. 3, the process of inputting the size of the adjustment sheet 3 (S34), the process of inputting the position of the reference point of the adjustment sheet 3 (S36), the error determination process (S38), and the adjustment process (S39) may be omitted. A conversion formula is obtained by the orientation process (S37) based on the coordinate value of the reference sheet 2, and the coordinate value of the contour of the target surface 1 is obtained based on the conversion formula (S40 to S42). Even by such a procedure, the coordinate value of the contour of the target surface 1 can be obtained with appropriate accuracy by compensating for the influence of the camera angle. In the case where only a single sheet 2 is arranged on the target surface 1 in this way, the sheet 2 is preferably arranged at the center of the target surface 1 as much as possible in order to improve the accuracy of the coordinate value of the contour of the target surface 1 to be obtained. It is desirable to arrange near the part. In addition, when the customer shoots the target surface 1 in a plurality of times, the shooting is performed so that the reference sheet 2 is commonly included in a plurality of images as in the sheet 3A or 2B in FIG. good.

  The rug manufacturing method and the rug providing method of the present invention are based on the image data obtained by a simple method of photographing a target surface on which a sheet having a prescribed size is arranged at an unrestricted camera angle, to obtain a dimensional shape of the target surface. It is industrially useful because it makes it possible to produce and provide a matching rug.

It is a block diagram which shows the system configuration used for implementation of the rug manufacturing method and the rug providing method by one embodiment of this invention. It is a sequence diagram which shows the outline of the execution procedure of the rug manufacturing method and rug provision method by this Embodiment. It is a flowchart which expands and shows the process sequence of step S13 of FIG. It is a conceptual diagram of the optical system of the digital camera for demonstrating lens distortion. It is a top view of the pattern used for correction | amendment of a lens distortion. It is a schematic screen figure which shows the example by which the image data of the target surface obtained by image | photographing with a digital camera was displayed on the display apparatus. It is a schematic screen figure which shows a mode when a reference point is designated to the image data of FIG. FIG. 6 is an explanatory diagram illustrating a positional relationship of reference points of a reference sheet between a plane L on image data and a plane L ′ along the target surface 1. It is a schematic diagram of the object surface 1 for demonstrating an error determination process and an adjustment process, (a) shows the image data on the plane L of the object surface 1, (b) is on the plane L 'of the object surface 1 The image data is shown. It is a schematic explanatory drawing which illustrates the image data at the time of imaging | photography of a target surface divided into 2 times. It is explanatory drawing which shows the synthetic | combination process of the coordinate value of each point on the outline of a target surface.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Target surface 2,2A, 2B, 3,3A, 3B Sheet 7,8 Rug 10 Digital camera 11A, 11B Image data 20 Terminal device 30 Input device 50 Network 60 Information processing device 70 Display device 71 Input device 80 Cutting device 90 Conveyance Means 100 Customer side equipment 200 Service provider side equipment 300 Rug offer system

Claims (6)

An image data acquisition step of acquiring image data obtained by placing a sheet having a prescribed size on a target surface on which a rug is to be laid and photographing the target surface;
Conversion that associates an arbitrary coordinate value on the image data with a coordinate value on the target surface based on the image of the sheet and the value of the specified dimension included in the image data acquired by the image data acquisition step A calculation process for deriving an expression;
A conversion step of converting the coordinate value of each point of the contour of the target surface on the image data into the coordinate value on the target surface based on the conversion formula;
A rug manufacturing method comprising: a rug cutting step of cutting a rug according to the coordinate values converted in the conversion step. The image data acquisition step acquires image data obtained by photographing the target surface by arranging a plurality of sheets having a predetermined size as the sheet on the target surface;
The calculation step calculates an arbitrary coordinate value on the image data on the target surface based on the images of the plurality of sheets included in the image data acquired by the image data acquisition step and the values of the specified dimensions. The rug manufacturing method of Claim 1 which derives | leads-out the conversion type matched with the coordinate value of.   The rug manufacturing method according to claim 1 or 2, wherein the image data acquisition step acquires the image data through a network. A sample cutting step of cutting a sample sheet according to the coordinate values converted in the conversion step;
A determination result receiving step of receiving a determination result as to whether or not the dimension and shape of the sample sheet is suitable for the target surface,
The rug cutting method according to any one of claims 1 to 3, wherein the rug cutting step is executed on condition that a determination result that the size and shape are appropriate is received in the determination result receiving step. Performing the rug manufacturing method according to any one of claims 1 to 4,
A rug providing method comprising: a rug transporting step of transporting the rug cut by the rug cutting step to a place where the target surface is located. Performing the rug manufacturing method according to claim 4;
A rug providing method comprising: a sample sheet transporting step of transporting the sample sheet cut by the sample cutting step to a ground where the target surface is located before the determination step.

Images