Facial shape classification method and corresponding denture design device

Abstract

Disclosed are a face shape classification method and a corresponding denture design apparatus. The face shape classification method and the corresponding denture design apparatus according to embodiments classify and provide artificial tooth shapes according to a patient's face shape, and thus can minimize the user's operation, reduce inconvenience, and increase the patient's aesthetic satisfaction.

Description

Technical Field

[0001] This invention relates to dental image processing technology, and more specifically, to technology for designing dentures using dental images. Background Technology

[0002] Restoration using complete dentures in edentulous patients is a completely different concept from restorative treatment using natural teeth. The user must set everything up—including the position of the artificial teeth—and all teeth move as a unit, with the constant risk of falling out. When fabricating such complete dentures, occlusal adjustments for patients with optimally selected and placed artificial teeth can become much easier.

[0003] Currently, one method for selecting suitable artificial teeth involves having the user visually examine photographs or model data of the patient's face and make a choice. In this case, the method relies on the user's experience rather than precise data. Conventional methods that rely on user experience are cumbersome because they require the user to select the shape of the artificial teeth each time, and the results can vary depending on the user's proficiency. Summary of the Invention

[0004] [Technical Issues]

[0005] According to one embodiment, the present invention relates to a facial shape classification method and a corresponding denture design device, which can select the best artificial teeth, minimize user operations, and improve patient aesthetic satisfaction when designing complete dentures.

[0006] [Technical Solution]

[0007] A facial shape classification method according to an embodiment includes: acquiring facial data of a patient, extracting multiple marker points from the acquired facial data, classifying the patient's facial shape using the distance between the extracted multiple marker points, and classifying and providing the patient's artificial tooth shape based on the classified facial shape.

[0008] Multiple markers may include at least one of the endpoints of the two sides of the third portion of the forehead region in the facial data, the tragus points on both sides of the face, or the angles of the mandible on both sides of the face.

[0009] When extracting multiple marker points, at least one of the endpoints on both sides of the third portion of the forehead region in the facial data, the tragus points on both sides of the face, or the mandibular angle points on both sides of the face can be extracted. Classifying the patient's facial shape can include: calculating a first distance of a first line segment connecting the endpoints on both sides of the third portion of the forehead region in the facial data, a second distance of a second line segment connecting the tragus points on both sides, and a third distance of a third line segment connecting the mandibular angle points on both sides, and classifying the patient's facial shape based on a comparison of the calculated first, second, and third distances.

[0010] When classifying and providing artificial tooth shapes to patients, artificial tooth shapes can be classified according to facial shape as at least one of square, conical, or oval, or a combination of at least two of square, conical, or oval.

[0011] When classifying and providing the shape of artificial teeth for patients, the artificial tooth shape can be classified as square when the facial shape is first distance = second distance = third distance, or first distance < second distance = third distance, or first distance > second distance = third distance, or first distance = second distance < third distance; the artificial tooth shape can be classified as conical when the facial shape is first distance > second distance > third distance, or first distance < second distance < third distance, or first distance > second distance < third distance; and the artificial tooth shape can be classified as oval when the facial shape is first distance < second distance > third distance. Here, the first distance can be the distance of the first line segment connecting the endpoints of the two sides of the third-third portion of the forehead region in the facial data, the second distance can be the distance of the second line segment connecting the two sides of the tragus point, and the third distance can be the distance of the third line segment connecting the two sides of the mandibular angle point.

[0012] The facial shape classification method may also include: when there are multiple classified artificial tooth shapes, providing multiple artificial tooth shapes, receiving a specific artificial tooth shape selected from the multiple provided artificial tooth shapes by user actions, and providing the selected artificial tooth shape.

[0013] The facial shape classification method may also include: receiving operation signals based on user actions for the provided artificial tooth shape, and modifying and providing the artificial tooth shape.

[0014] Modifying and providing the shape of an artificial tooth may include: when providing a first artificial tooth shape, vertically dividing the first artificial tooth shape into a right half and a left half, while displaying the dividing line; and providing a modified artificial tooth shape in response to selecting the left half or the right half via an operation signal based on a user action, wherein when the right half is selected, the right half is modified into a second artificial tooth shape; or, when the left half is selected, the left half is modified into a third artificial tooth shape.

[0015] Modifying and providing artificial tooth shapes may include: displaying a list of artificial tooth replacements on the screen in response to a user selecting a specific artificial tooth shape, and modifying the artificial tooth shape to the selected artificial tooth shape and providing the modified artificial tooth shape in response to a user selecting a specific artificial tooth shape from the list of artificial tooth replacements.

[0016] A denture design device according to another embodiment includes: a data acquisition unit configured to acquire facial data of a patient; a control unit configured to extract a plurality of marker points from the acquired facial data, classify the patient's facial shape using the distance between the extracted plurality of marker points, and classify the shape of the patient's artificial teeth according to the classified facial shape; and an output unit configured to provide the classified artificial tooth shape.

[0017] [Beneficial Effects]

[0018] Based on the facial shape classification method and corresponding denture design device according to the implementation method, the user's operation can be minimized by automatically classifying and providing the shape of artificial teeth in the fabrication of complete dentures.

[0019] In addition, by taking into account the patient's individual facial shape when determining and providing the shape of artificial teeth, accuracy and patient aesthetic satisfaction can be improved.

[0020] In addition, allowing users to modify the facial shape of the provided patient increases user convenience. Attached Figure Description

[0021] Figure 1 This is a diagram illustrating the configuration of a denture design device according to an embodiment of the present invention.

[0022] Figure 2 This is a flowchart illustrating a facial shape classification method according to an embodiment of the present invention.

[0023] Figure 3 The diagram illustrates facial shapes classified according to an embodiment of the invention.

[0024] Figure 4This is a table showing the shapes of artificial teeth specific to facial shapes, classified according to embodiments of the present invention.

[0025] Figure 5 This is a diagram illustrating an example of user-modified shape of an artificial tooth provided according to an embodiment of the present invention.

[0026] Figure 6 This is a diagram illustrating an example of user-modified shape of an artificial tooth provided according to another embodiment of the present invention. Detailed Implementation

[0027] The advantages and features of the present invention, as well as the manner in which they are realized, will become apparent from the following detailed description of the embodiments taken in conjunction with the accompanying drawings. However, the invention can be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. The invention is defined only by the scope of the appended claims. Throughout this specification, the same or similar reference numerals denote the same or similar elements.

[0028] In describing exemplary embodiments, detailed descriptions of relevant known configurations or functions incorporated herein will be omitted where it is determined that such detailed descriptions might unnecessarily obscure the subject matter of the invention. The terminology described below is defined in consideration of the functionality within the invention and may vary depending on the user, their intent, or their habits. Therefore, the definitions of the terminology used herein should adhere to the context disclosed herein.

[0029] In the following, embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, various modifications can be made to the exemplary embodiments, and the scope of the invention is not limited to the exemplary embodiments described below. Exemplary embodiments are provided to describe the invention more completely to those skilled in the art.

[0030] Figure 1 This is a diagram illustrating the configuration of a denture design device according to an embodiment of the present invention.

[0031] The denture design device 1 is an electronic device capable of performing image processing programs. Examples of such electronic devices include personal computers (PCs), laptops, tablets, smartphones, mobile phones, etc. Medical image processing programs include design programs, scanning programs, CAD programs, etc. These medical image processing programs can be denture design programs used to fabricate complete dentures for edentulous patients, but they can also be applied to other general medical image processing programs. In the following description, for ease of description, a dental design program will be described as an example, but other programs are applicable if image processing is possible.

[0032] Reference Figure 1 According to one embodiment, the denture design device 1 includes a data acquisition unit 10, a storage unit 12, a control unit 14, an input unit 16, and an output unit 18.

[0033] The data acquisition unit 10 acquires dental image data from teeth, including the patient's damaged teeth. The dental image data may include facial shape data, such as photographs of the patient's face, facial scan data, etc.

[0034] Storage unit 12 stores data such as information necessary for the operation of denture design device 1, and information generated during the operation of denture design device 1. For example, individual patient scan data can be stored in storage unit 12 and provided to control unit 14. Storage unit 12 can store dental image data of the maxilla and mandible of an individual patient and provide dental image data of a specific patient to control unit 14. In addition, artificial tooth shape information for each facial shape in a pre-classified facial shape can be stored in storage unit 12.

[0035] The control unit 14 designs the complete denture under the control of a computer program. According to the embodiment, the control unit 14 determines the shape of the artificial teeth used for the complete denture design. Here, shape includes size.

[0036] As an example of determining the shape of artificial teeth via control unit 14, multiple landmarks are extracted from facial data obtained via data acquisition unit 10. These extracted landmarks serve as anatomical reference points in the facial data. For example, these landmarks may include the endpoints of the lateral thirds of the forehead region, the tragus points on both sides of the face, and the gonion points on both sides of the face. The endpoints of the lateral thirds of the forehead region refer to the endpoints of the portion representing one-third of the entire forehead region when the entire forehead region (from the glabella to the midpoint of the hairline) is vertically divided into three equal parts. The lateral tragus points refer to the cartilaginous protuberances located anterior to the entrance of the external auditory canal. The lateral gonion points refer to the angular region at the posterior base of the mandible. The following will refer to... Figure 3 An example describing a marker point.

[0037] Then, the control unit 14 uses the distances between the extracted marker points to classify the patient's facial shape. For example, the control unit 14 calculates a first distance, a second distance, and a third distance between the marker points, and classifies the patient's facial shape based on a comparison of the calculated first, second, and third distances. Here, the first distance is the distance of a first line segment connecting the two endpoints of the first third portion of the forehead region in the facial data. The second distance is the distance of a second line segment connecting the two tragus points. The third distance is the distance of a third line segment connecting the two mandibular angle points. (See below for further details.) Figure 3 Examples describing facial shape classification.

[0038] Subsequently, the control unit 14 classifies the patient's artificial tooth shape according to the classified facial shape and provides it through the output unit 18. For this purpose, artificial tooth shapes that match the facial shape are pre-stored in the storage unit 12, and the control unit 14 selects a specific artificial tooth shape that matches the classified facial shape from the multiple artificial tooth shapes stored in the storage unit 12.

[0039] The control unit 14 can classify the shape of the artificial teeth as at least one of square, tapering, or ovoid, or a combination of at least two of square, tapering, or ovoid, based on the facial shape. For example, the shape of the artificial teeth can be classified as square, tapering, ovoid, square-tapered, tapering-ovoid, ovoid-square, or square-tapered-ovoid.

[0040] For example, if the facial shape is: first distance = second distance = third distance, or first distance < second distance = third distance, or first distance > second distance = third distance, or first distance = second distance < third distance, then the control unit 14 can classify the artificial tooth shape as square. If the facial shape is: first distance > second distance > third distance, or first distance < second distance < third distance, or first distance > second distance < third distance, then the control unit 14 can classify the artificial tooth shape as conical. If the facial shape is: first distance < second distance > third distance, then the control unit 14 can classify the artificial tooth shape as oval. (Refer to the following...) Figure 4 An example describing facial shape classification. When a first, second, or third distance is equal to each other, it implies that if the difference between the distances falls within a predetermined error margin, they are considered equal. For example, if control unit 14 detects a difference of less than 5 mm between two distances, these distances can be considered equal. In another example, when comparing distances, control unit 14 can determine whether the distances are equal based on the comparison after truncating decimal places in centimeters.

[0041] If multiple artificial tooth shapes exist after classification, the control unit 14 can provide multiple artificial tooth shapes through the output unit 18. When a user selects a specific artificial tooth shape via user input through the input unit 16, the control unit 14 can provide the selected artificial tooth shape through the output unit 18.

[0042] When the input unit 16 receives a user selection signal for modifying the shape of the artificial tooth, the control unit 14 can modify the shape of the artificial tooth, and the output unit 18 can display the modified shape of the artificial tooth.

[0043] For example, when providing a first artificial tooth shape, the control unit 14 vertically divides the first artificial tooth shape into a right half and a left half, and displays the divided first artificial tooth shape and the dividing lines through the output unit 18. In this case, if the user selects the left half or the right half via an operation signal based on the user's action through the input unit 16, the control unit 14 provides a modified artificial tooth shape through the output unit 18, wherein when the right half is selected, the right half is modified into a second artificial tooth shape, or when the left half is selected, the left half is modified into a third artificial tooth shape. The following will refer to... Figure 5 Describe the implementation methods in this regard.

[0044] In another example, when a user selects an artificial tooth shape via a user action, the control unit 14 displays an artificial tooth replacement list on the screen via the output unit 18. In this case, if the input unit 16 receives a specific artificial tooth shape selected by the user from the artificial tooth replacement list, the control unit 14 modifies the artificial tooth shape to the selected shape and provides the modified artificial tooth shape via the output unit 18. (Refer to the following...) Figure 6 Describe the implementation methods in this regard.

[0045] Input unit 16 receives user operation signals. For example, input unit 16 receives operation signals based on user actions (e.g., mouse clicks) for modifying the shape of artificial teeth, which are executed for the shape of artificial teeth displayed as virtual graphic objects on the screen via output unit 18.

[0046] The output unit 18 displays data on the screen and shows the simulation processing performed by the control unit 14. In this case, the shape of the artificial tooth designed by the control unit 14 can be displayed on the screen and output by a 3D printer.

[0047] Figure 2 This is a flowchart illustrating a facial shape classification method according to an embodiment of the present invention.

[0048] Reference Figure 1 and Figure 2The denture design device 1 acquires the patient's facial data (S210). Subsequently, the denture design device 1 extracts multiple marker points from the acquired facial data (S220). The multiple marker points may be at least one of the endpoints of the two sides of the third portion of the forehead region in the facial data, the tragus points on both sides of the face, or the mandibular angle points on both sides of the face.

[0049] In the following description, the denture design device 1 classifies the patient's facial shape using the distances between the extracted marker points (S230). When classifying the patient's facial shape (S230), the denture design device 1 can calculate a first distance of a first line segment connecting the two endpoints of a third of the forehead region, a second distance of a second line segment connecting the tragus points on both sides, and a third distance of a third line segment connecting the mandibular angle points on both sides. Then, the denture design device 1 can classify the patient's facial shape based on a comparison of the calculated first, second, and third distances.

[0050] Subsequently, the prosthesis design device 1 classifies and provides the shape of the patient's artificial teeth according to the classified facial shape (S240).

[0051] When classifying the shape of the patient's artificial teeth (S240), the denture design device 1 can classify the shape of the artificial teeth as at least one of square, conical, or oval, or a combination of at least two of square, conical, or oval shapes, based on the facial shape. For example, if the facial shape is first distance = second distance = third distance, or first distance < second distance = third distance, or first distance > second distance = third distance, or first distance = second distance < third distance, then the denture design device 1 can classify the shape of the artificial teeth as square. If the facial shape is first distance > second distance > third distance, or first distance < second distance < third distance, or first distance > second distance < third distance, then the denture design device 1 can classify the shape of the artificial teeth as conical. If the facial shape is first distance < second distance > third distance, then the denture design device 1 can classify the shape of the artificial teeth as oval.

[0052] When classifying artificial tooth shapes (S240), if there are multiple classified artificial tooth shapes, the prosthesis design device 1 can provide multiple artificial tooth shapes, receive a specific artificial tooth shape selected from the multiple provided artificial tooth shapes by user operation, and provide the selected artificial tooth shape.

[0053] Furthermore, the denture design device 1 can receive operation signals based on user actions for the provided artificial tooth shape, and modify and provide the artificial tooth shape (S250).

[0054] When modifying the shape of the artificial tooth (S250), if a first artificial tooth shape is provided, the denture design device 1 can vertically divide the first artificial tooth shape into a right half and a left half and display the dividing line. In this case, if the left half or the right half is selected by an operation signal based on the user's action, the denture design device 1 can provide a modified artificial tooth shape, wherein when the right half is selected, the right half is modified into a second artificial tooth shape, or when the left half is selected, the left half is modified into a third artificial tooth shape.

[0055] When modifying the shape of the artificial tooth (S250), the denture design device 1 can display a list of artificial tooth replacements when the user selects a specific artificial tooth shape. In this case, if the user selects a specific artificial tooth shape from the artificial tooth replacement list, the artificial tooth shape can be modified to the selected artificial tooth shape and provided.

[0056] Figure 3 The diagram illustrates facial shapes classified according to an embodiment of the invention.

[0057] Reference Figure 1 and Figure 3 The denture design device 1 uses multiple markers extracted from facial data to classify the patient's facial shape.

[0058] like Figure 3 As shown, the denture design device 1 can extract six marker points from the patient's facial data. These six marker points may include, for example, the endpoints 311 and 312 on both sides of the third portion of the forehead region, the tragus 321 and 322 on both sides of the face, and the mandibular angles 331 and 332 on both sides of the face. The endpoints 311 and 312 on both sides of the third portion of the forehead region refer to the endpoints on both sides of the portion representing one-third of the entire forehead region when the entire forehead region is vertically divided into three equal parts. The tragus 321 and 322 on both sides refer to the cartilaginous protrusions located anterior to the entrance of the external auditory canal. The mandibular angles 331 and 332 on both sides refer to the angular areas at the posterior base of the mandible.

[0059] The denture design device 1 calculates the distance of a line segment created by connecting two points among the markers of the facial shape. For example, the denture design device 1 calculates a first distance ①341 of a first line segment connecting the endpoints 311 and 312 on both sides of the third portion of the forehead region, a second distance ②342 of a second line segment connecting the tragus 321 and 322 on both sides, and a third distance ③343 of a third line segment connecting the mandibular angles 331 and 332 on both sides.

[0060] Subsequently, the denture design device 1 can classify the patient's facial shape based on a comparison of the calculated first distance ①341, second distance ②342, and third distance ③343. For example, based on the comparison of the first distance ①341, second distance ②342, and third distance ③343, the facial shape can be classified into nine types, such as ①=②=③, ①=②>③, ①=②<③, ①>②=③, ①>②>③, ①>②<③, ①<②>③, ①<②<③, and ①<②=③.

[0061] Figure 4 This is a table showing the shapes of artificial teeth specific to facial shapes, classified according to embodiments of the present invention.

[0062] Reference Figure 1 and Figure 4 The denture design device 1 categorizes the shapes of artificial teeth according to the patient's facial shape and provides them to the user. For this purpose, the denture design device 1 pre-categorizes and stores artificial tooth shapes that match the facial shape in the storage unit 12. When the facial shape is determined, the denture design device 1 searches the storage unit 12 for artificial tooth shapes that match the categorized facial shape and provides those artificial tooth shapes. For example, as... Figure 4 As shown, the denture design device 1 classifies nine facial shapes into three artificial tooth shapes. These three artificial tooth shapes are square, conical, and oval. For example, if the facial shape is ①=②=③, or ①<②=③, or ①>②=③, or ①=②>③, or ①=②<③, then the denture design device 1 can classify the artificial tooth shape as square. If the facial shape is ①>②>③, or ①<②<③, or ①>②<③, then the denture design device 1 can classify the artificial tooth shape as conical. If the facial shape is ①<②>③, then the denture design device 1 can classify the artificial tooth shape as oval.

[0063] In another example, in addition to the three shapes mentioned earlier, artificial tooth shapes can be classified into other types, such as four categories, seven categories, etc. For example, artificial tooth shapes can be classified into four categories, including square, conical, oval, and square-oval. Similar to the combination of square and oval, at least two artificial tooth shapes can be combined to produce artificial tooth shape classifications such as square-oval, square-conical, square-conical-oval, etc.

[0064] The criteria for classifying artificial tooth shapes based on facial shape are pre-set and stored in storage unit 12, and can be modified by the user.

[0065] Figure 5 This is a diagram illustrating an example of user-modified shape of an artificial tooth provided according to an embodiment of the present invention.

[0066] Reference Figure 1 and Figure 5 The user can modify the shape of the artificial tooth provided by the denture design device 1. For example, the denture design device 1 vertically divides the provided artificial tooth shape 500 into a left half 520 and a right half 530, and displays the dividing line 510. In this case, when the user selects the left or right half through an operation signal based on user action (e.g., mouse click), the right half can be used as a "next" button, and the left half can be used as a "previous" button. For example, if the artificial tooth shape includes a square shape, an oval shape, and a conical shape, and the denture design device 1 provides an oval shape 500, if the user selects the left half 520 of the provided oval shape 500 based on the dividing line 510, the denture design device 1 modifies the artificial tooth shape from the oval shape 500 to a square shape 540 and provides the modified shape. Conversely, if the user selects the right half 530 of the provided oval shape 500 based on the dividing line 510, the denture design device 1 modifies the shape of the artificial tooth from the oval shape 500 to a conical shape 550 and provides the modified shape. When the user makes a modification, the denture design device 1 can visually distinguish between the original artificial tooth shape 500 and the modified artificial tooth shape 540 or 550. Additionally, when the left half 520 or right half 530 of the artificial tooth shape 500 is selected based on the dividing line, the denture design device 1 can visually distinguish between the selected half.

[0067] exist Figure 5 In the example shown, when there are three different artificial tooth shapes, the shape of the artificial tooth can be modified using a single selection action by the user (e.g., a click).

[0068] like Figure 5 As shown, the shape of the artificial tooth can be modified by user actions used to select the left or right side of the provided artificial tooth. However, an additional graphical user interface can be provided around the provided artificial tooth for user selection, and the shape of the artificial tooth can be modified based on the user selection made through the provided graphical user interface.

[0069] Figure 6 This is a diagram illustrating an example of user-modified shape of an artificial tooth provided according to another embodiment of the present invention.

[0070] Reference Figure 1 and Figure 6Even when there are four or more classification criteria for artificial tooth shapes, the user can still make modifications. For example, when there are at least four classification criteria for artificial tooth shapes, if the user selects a specific artificial tooth shape, such as an oval shape 500, through a user action (e.g., clicking), the denture design device 1 displays an artificial tooth replacement list 600 on the screen. In this case, when the user selects a specific artificial tooth shape from the artificial tooth replacement list 600 through a user action (e.g., clicking), the denture design device 1 can modify the artificial tooth shape to the artificial tooth shape selected by the user and provide the modified artificial tooth shape.

[0071] exist Figure 6 In the example shown, when there are four or more artificial tooth shapes, the artificial tooth shape can be modified using two user selection actions (e.g., clicking).

[0072] While the invention has been specifically described with reference to exemplary embodiments, those skilled in the art will understand that various changes in form and detail may be made without departing from the spirit and scope of the invention. Therefore, the exemplary embodiments should be considered illustrative only and not for limiting purposes. The scope of the invention is not defined by the detailed description thereof, but by the appended claims, and includes all modifications and equivalents falling within the scope of the appended claims and to be construed as included in the invention.

Claims

1. A method for facial shape classification performed using a denture design device, the method comprising: Acquire the patient's facial data in the denture design device; Multiple marker points are extracted from the acquired facial data, including the endpoints on both sides of the third portion of the forehead region in the facial data, the tragus points on both sides of the face, and the mandibular angle points on both sides of the face. Calculate the first distance of the first line segment connecting the endpoints of the first line segment connecting the two sides of the third portion of the forehead region in the facial data, the second distance of the second line segment connecting the tragus points on both sides of the face, and the third distance of the third line segment connecting the angle of the mandible on both sides of the face. The patient's facial shape is classified based on a comparison of the calculated first, second, and third distances; as well as The patient's artificial tooth shape is classified and provided based on the classified facial shape.

2. The facial shape classification method according to claim 1, wherein, When classifying and providing the artificial tooth shape to a patient, the artificial tooth shape is classified according to the facial shape as at least one of square, conical, or oval, or a combination of at least two of the square, conical, or oval shapes.

3. The facial shape classification method according to claim 1, wherein, When classifying and providing the patient with the described artificial tooth shape In cases where the facial shape is such that the first distance = the second distance = the third distance, or the first distance < the second distance = the third distance, or the first distance > the second distance = the third distance, or the first distance = the second distance < the third distance, the artificial tooth shape is classified as square. In cases where the facial shape is first distance > second distance > third distance, or first distance < second distance < third distance, or first distance > second distance < third distance, the artificial tooth shape is classified as conical; as well as When the facial shape is at a first distance < second distance > third distance, the artificial tooth shape can be classified as oval. Wherein, the first distance is the distance of the first line segment connecting the endpoints of the two sides of one-third portion of the forehead region in the facial data, the second distance can be the distance of the second line segment connecting the two sides of the tragus point, and the third distance can be the distance of the third line segment connecting the two sides of the mandibular angle point.

4. The facial shape classification method according to claim 1 further includes: When multiple artificial tooth shapes are available and classified, the multiple artificial tooth shapes are provided, a specific artificial tooth shape is selected from the multiple artificial tooth shapes provided by the user through an action, and the selected artificial tooth shape is provided.

5. The facial shape classification method according to claim 1, further comprising: Receive operation signals based on user actions for the provided artificial tooth shape, and modify and provide the artificial tooth shape.

6. The facial shape classification method according to claim 5, wherein, Modifying and providing the shape of the artificial teeth includes: When providing the shape of the first artificial tooth, the shape is vertically divided into a right half and a left half, and the dividing line is displayed. In response to selecting the left or right half via an operation signal based on a user action, a modified artificial tooth shape is provided, wherein when the right half is selected, the right half is modified into a second artificial tooth shape, or when the left half is selected, the left half is modified into a third artificial tooth shape.

7. The facial shape classification method according to claim 5, wherein, Modifying and providing the shape of the artificial teeth includes: In response to the user selecting a specific artificial tooth shape, a list of artificial tooth replacements is displayed on the screen, and In response to selecting a specific artificial tooth shape from the artificial tooth replacement list via user operation, the artificial tooth shape is modified to the selected artificial tooth shape and the modified artificial tooth shape is provided.

8. A denture design device, comprising: A data acquisition unit configured to acquire facial data of a patient; A control unit is configured to: extract multiple marker points from acquired facial data, the multiple marker points including endpoints on both sides of a third portion of the forehead region in the facial data, tragus points on both sides of the face, and mandibular angle points on both sides of the face; calculate a first distance of a first line segment connecting the endpoints on both sides of the third portion of the forehead region in the facial data, a second distance of a second line segment connecting the tragus points on both sides of the face, and a third distance of a third line segment connecting the mandibular angle points on both sides of the face; and classify the patient's facial shape based on a comparison of the calculated first, second, and third distances. And classify the shape of the patient's artificial teeth according to the classified facial shape; as well as An output unit configured to provide classified artificial tooth shapes.

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