WO2020067725A1 - 사진 측량을 이용한 모델 재구성 장치 및 방법 - Google Patents
사진 측량을 이용한 모델 재구성 장치 및 방법 Download PDFInfo
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- WO2020067725A1 WO2020067725A1 PCT/KR2019/012475 KR2019012475W WO2020067725A1 WO 2020067725 A1 WO2020067725 A1 WO 2020067725A1 KR 2019012475 W KR2019012475 W KR 2019012475W WO 2020067725 A1 WO2020067725 A1 WO 2020067725A1
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- nail
- shape
- model
- image
- photogrammetry
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- A—HUMAN NECESSITIES
- A45—HAND OR TRAVELLING ARTICLES
- A45D—HAIRDRESSING OR SHAVING EQUIPMENT; EQUIPMENT FOR COSMETICS OR COSMETIC TREATMENTS, e.g. FOR MANICURING OR PEDICURING
- A45D31/00—Artificial nails
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/10—Constructive solid geometry [CSG] using solid primitives, e.g. cylinders, cubes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
- G06T7/55—Depth or shape recovery from multiple images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/97—Determining parameters from multiple pictures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/255—Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/107—Static hand or arm
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2211/00—Image generation
- G06T2211/40—Computed tomography
- G06T2211/416—Exact reconstruction
Definitions
- the present invention relates to image recognition technology and three-dimensional modeling technology, and more particularly, to a model reconstruction technology using photogrammetry.
- a set of artificial nails sold to the consumer may include 10-15 size types, 2 pieces per size, 20-30 pieces of artificial nails.
- a set of artificial nails sold to the consumer may include 10-15 size types, 2 pieces per size, 20-30 pieces of artificial nails.
- the size, shape, and angle of nails vary from person to person, it is nearly impossible for 10-15 artificial nail sizes to fit each consumer's nails. Because of these disadvantages, artificial nails are indispensable to be distinguished from natural nails, and each user has different nail sizes, so there is a problem in that it is inconvenient to wear and easily falls off the nails.
- An object of the present invention is to provide a user-customized artificial nail model suitable for a user conveniently and conveniently.
- the present invention aims to generate a user-customized artificial nail model from a reference artificial nail model of an existing standard specification without using a complicated process or a special tool.
- Face recognition apparatus for achieving the above object is an image receiving unit for receiving the image data of the target nail and a standard object together to create a model of artificial nails of the object; An image for recognizing the shape of the nail body and the shape of the nail tip for the target nail from the image data, and determining parameters for the shape of the nail body and the shape of the nail tip based on the standard specification object It includes an analysis unit and a model generation unit for generating an artificial nail model based on the parameters.
- the standard specification object may correspond to an object manufactured according to the international standard.
- the image data may include a first image for recognizing the shape of the nail body and a second image for recognizing the shape of the tip of the nail.
- the first image and the second image may be photographed with the standard specification object and the bottom of the finger of the object in close contact.
- the first image may be photographed together with the body of the nail of the object and the standard object at the point of view of the back of the object.
- the second image may be photographed together with the end of the fingernail and the standard object at a point of view of the fingertip of the object.
- the second image is taken with the bottom of the thumb of the object in close contact with one surface of the standard object, and the bottom of the other four fingers of the object with the other surface of the standard object in close contact. Can be.
- the image analysis unit may recognize the shape of the nail body at the point of view of the back of the hand from the first image, and determine a parameter for the shape of the nail body based on the standard specification object.
- the image analysis unit sets at least four points on the nail boundary of the nail body at the point of view of the back of the object from the first image, and the at least four points on the shape of the nail body.
- the parameter can be determined by the coordinate values for the.
- the image analysis unit may determine a type of nail shape of the at least one selectable artificial nail model based on the shape of the nail body recognized at the time of looking at the back of the object from the first image.
- the image analysis unit recognizes the shape of the tip of the nail at the point of view of the fingertip of the object from the second image, and determines a parameter for the shape of the tip of the nail based on the standard specification object. You can.
- the image analysis unit sets two points, one for each of the points corresponding to both sides of the nail at the point of view of the fingertip of the object from the second image, and at least one point of the nail tip By setting an additional point in the two points and the additional point can determine the parameter with coordinate values for the shape of the tip of the nail.
- the image analysis unit may generate a straight line connecting the two points, and set the point of the nail end that is perpendicular to the straight line and meets a water line in a direction penetrating the target nail body as the additional point. have.
- the model generating unit adjusts the shape of the nail body for the reference artificial nail model based on coordinate values for the shape of the nail body, and the artificial nail model is obtained from the reference artificial nail model in which the shape of the nail body is adjusted. Can be created.
- the model generation unit adjusts the shape of the nail body and the shape of the nail tip for the reference artificial nail model based on the coordinate values of the shape of the nail body and the shape of the nail tip, and the shape of the nail body
- the artificial nail model may be generated from the reference artificial nail model in which the shape of the nail tip is adjusted.
- a model reconstruction method using photogrammetry for achieving the above object is a model reconstruction method using photogrammetry of a model reconstruction apparatus using photogrammetry, for generating artificial nail models.
- the present invention can conveniently and conveniently provide a user-customized artificial nail model suitable for a user.
- the present invention can create a custom artificial nail model from a standard artificial nail model of the existing standard without using a complicated process or special tools.
- FIG. 1 is a block diagram showing a model reconstruction apparatus using photogrammetry according to an embodiment of the present invention.
- FIG. 2 is a view showing an image of four fingers in close contact with a standard object at the point of view of the back of the object according to an embodiment of the present invention.
- FIG 3 is a view showing an image of a thumb in close contact with a standard object at the point of view of the back of the object according to an embodiment of the present invention.
- FIG. 4 is a view showing an image of fingers in close contact with a standard object at a point of view of a fingertip of an object according to an embodiment of the present invention.
- FIG. 5 is a view showing the shape of the nail body in the image according to an embodiment of the present invention, and a point setting for determining coordinate values.
- FIG. 6 is a view showing a type of nail shape of a selectable artificial nail model according to an embodiment of the present invention.
- FIG. 7 is a view showing a point setting for shape recognition and coordinate value determination of a fingertip in an image according to an embodiment of the present invention.
- FIG. 8 is a view showing detailed adjustment of an artificial nail model according to an embodiment of the present invention.
- FIG. 9 is an operational flow diagram showing a model reconstruction method using photogrammetry according to an embodiment of the present invention.
- FIG. 10 is a detailed flowchart illustrating an example of the step of receiving image data illustrated in FIG. 9.
- FIG. 11 is a detailed flowchart illustrating an example of the image data analysis step illustrated in FIG. 9.
- FIG. 12 is a detailed operation flow diagram of an example of the step of creating an artificial nail model shown in FIG. 9.
- FIG. 13 is a diagram illustrating a computer system according to an embodiment of the present invention.
- 1 is a block diagram showing a model reconstruction apparatus using photogrammetry according to an embodiment of the present invention.
- 2 is a view showing an image of four fingers in close contact with a standard object at the point of view of the back of the object according to an embodiment of the present invention.
- 3 is a view showing an image of a thumb in close contact with a standard object at the point of view of the back of the object according to an embodiment of the present invention.
- 4 is a view showing an image of fingers in close contact with a standard object at a point of view of a fingertip of an object according to an embodiment of the present invention.
- 5 is a view showing the shape of the nail body in the image according to an embodiment of the present invention, and a point setting for determining coordinate values.
- FIG. 6 is a view showing a type of nail shape of a selectable artificial nail model according to an embodiment of the present invention.
- 7 is a view showing a point setting for shape recognition and coordinate value determination of a fingertip in an image according to an embodiment of the present invention.
- 8 is a view showing detailed adjustment of an artificial nail model according to an embodiment of the present invention.
- an apparatus for reconstructing a model using photogrammetry includes an image receiving unit 110, an image analyzing unit 120, a model generating unit 130, and an image learning unit 140. do.
- the image receiving unit 110 may receive image data of a target nail and a standard specification object for generating a target artificial nail model.
- the user terminal device may generate image data by photographing a target nail and a standard specification object together.
- the image data may be generated using various types of user terminal devices capable of generating image data by capturing a 2D digital image such as a smart phone, a smart tablet, or a digital camera.
- the user terminal device may request the user to generate image data required to generate the artificial nail model through the user terminal device according to the guidance of the application, software, and website providing the artificial nail model generation service.
- Applications, software, and websites that provide artificial nail model creation services may output information required to generate the artificial nail model as a message through the user terminal device.
- the information necessary to generate the artificial nail model may include a message explaining a method of photographing the subject's hand to generate the artificial nail model.
- an application, software, and website that provides an artificial nail model creation service may be controlled to capture image data required to generate an artificial nail model using a camera built in a user terminal device.
- the user terminal device may transmit image data to a model reconstruction device using photogrammetry through a network.
- the user terminal device may upload image data to an application, software, and website that provides artificial nail model service.
- the image receiving unit 110 may receive image data through a network from a user terminal device, and uploaded by a user to request artificial nail generation from applications, software, and websites that provide artificial nail model creation service. You can also download image data.
- the image data may include a first image for recognizing the shape of the nail body and a second image for recognizing the shape of the tip of the nail.
- FIGS. 2 and 3 show an example of the first image
- FIG. 4 shows an example of the second image
- the first image and the second image may be photographed in a state in which the standard specification object and the bottom of the finger of the object are in close contact.
- the first image may be taken with the nail body of the object and the standard object at the point of view of the back of the object.
- the first image is an image taken with the bottom of the thumb of the left hand in close contact with a standard object at the time of looking at the back of the object, and the bottom of the remaining four fingers of the left hand at the point of view of the object's back of the hand.
- An image taken in close contact with a standard object, the image of the right hand thumb at the point of view of the object's back of the hand, and the rest of the right hand at the point of view of the object's back of the hand The bottom of the four fingers may include an image captured in close contact with a standard object.
- the tip of the fingernail and the standard object may be photographed together when the fingertip of the object is viewed.
- the second image was taken with the bottom of the thumb of the object in close contact with one surface of the standard object, and the bottom of the remaining four fingers of the object with the other surface of the standard object in close contact. It may include a left-handed image and a right-handed image.
- the fingertip of the object needs to be photographed at a point in time facing the direction in which the finger extends in order to recognize the degree of bending of the fingertip.
- the image data may further include a third image of the side of the finger in order to recognize the degree of bending of the nail body.
- the standard specification object may correspond to an object manufactured according to the international standard specification.
- a standard specification object may correspond to an object manufactured according to an international standard developed by an international standardization organization such as ISO (International Organization for Standardization), and an object produced according to the international standard may be a credit card, It can correspond to various objects such as paper money, coins, and paper.
- ISO International Organization for Standardization
- a standard specification object according to an embodiment of the present invention will be described using a credit card as an example.
- the image analysis unit 120 recognizes the shape of the nail body and the shape of the nail tip for the target nail from the image data, and based on the standard specification object, the shape of the nail body and the shape of the nail tip You can determine the parameters for
- the image analysis unit 120 recognizes the shape of the nail body at the point of view of the back of the hand from the first image, and sets parameters for the shape of the nail body based on the standard specification object. Can decide.
- the image analysis unit 120 sets at least four points on the nail boundary of the nail body at the point of view of the back of the object from the first image, and the at least four points on the nail body
- the parameter may be determined by coordinate values for the shape of.
- the image analysis unit 120 determines the type of the nail shape of the at least one selectable artificial nail model based on the shape of the nail body recognized at the point of view of the back of the object from the first image. You can.
- a model reconstruction apparatus using photogrammetry shows a type of nail shape of a selectable artificial nail model.
- the types of nail shapes according to an embodiment of the present invention are SQUARE, SQUARE Oval, SQUARE OVAL, SQUOVAL OR SEMI SQUARE, ROUNDED, OVAL, ALMOND , Ballerina or coffin (BALLERINA OR COFFIN) and stiletto (STILETTO) is found to be included, additional types of nail shape may be further included.
- the image analysis unit 120 compares the recognized shape of the nail body of the target and the nail body of the reference artificial nail model, and recommends the shape of the artificial nail model to the user in order to recommend the nail shape of the artificial nail model to the user. At least one may be selected, and the shape of the nail of the selected artificial nail model may be recommended to the user through the user terminal device.
- the image analysis unit 120 may select square, square oval, scoobal or semi-square, and If the length is shorter than the length of the nail of the reference artificial nail model, a round may be recommended, and if the width of the target nail is narrower than the width of the nail of the reference artificial nail model, oval and almond may be selected.
- the image analysis unit 120 recognizes the shape of the tip of the nail at the point of view of the fingertip of the target from the second image, and is a parameter for the shape of the tip of the nail based on the standard specification object. Can decide.
- the image analysis unit 120 sets two points, one at each point corresponding to both sides of the nail, at the point of view of the fingertip of the object from the second image, and the nail tip
- the parameters may be determined by using the two points and the additional points as coordinate values for the shape of the tip of the nail.
- the image analysis unit 120 generates a straight line connecting the two points, perpendicular to the straight line, and the point of the end of the nail that meets the waterline which is a direction penetrating the nail body of the target is the additional point Can be set to
- the image analysis unit 120 sets two points on the standard-sized object, generates a straight line connecting the two points, and uses the slope of the straight line generated on the standard-sized object to cut the end of the nail. You can adjust the position of the coordinate values for the shape.
- the image analysis unit 120 may recognize the shape of the nail side photographed at the point of view of the finger side of the object from the third image, and determine a parameter for the shape of the nail side.
- the image analysis unit 120 sets two points, one at each of the nail end and the root of the nail body, at the point of view of the finger side from the third image, and adds to at least one point of the nail body
- the two points and the additional point may be determined by using the coordinate values for the shape of the side surface of the nail.
- the image analysis unit 120 generates a straight line connecting the two points, perpendicular to the straight line, and the point of the nail body that meets the waterline in the direction penetrating the target nail body as the additional point Can be set.
- the image analysis unit 120 sets two points on a standard-sized object, generates a straight line connecting the two points, and uses the slope of the straight line generated on the standard-sized object to shape the side of the nail. You can adjust the position of the coordinate values for.
- the model generation unit 130 may generate an artificial nail model based on the parameters.
- the model generating unit 130 adjusts the shape of the nail body for the reference artificial nail model based on the coordinate values for the shape of the nail body, and the artificial body is obtained from the reference artificial nail model in which the shape of the nail body is adjusted. You can create a nail model.
- the model generating unit 130 adjusts the shape of the nail end of the reference artificial nail model based on the coordinate values for the shape of the nail end, and the reference artificial nail whose shape of the nail end is adjusted.
- the artificial nail model can be generated from a model.
- the model generating unit 130 adjusts the side shape of the nail body of the reference artificial nail model based on the coordinate values for the side shape of the nail body, and the reference artificial nail model in which the side shape of the nail body is adjusted. From the artificial nail model can be generated.
- the model generator 130 may determine a scale value of the artificial nail model corresponding to the standard specification object, based on the coordinate values of the artificial nail model and the coordinate values of the standard specification object.
- the model generation unit 130 determines the scale value of the artificial nail model by comparing the coordinate values of the nails photographed together in the first image, the second image, and the third image and the standard specification object, and Actual size can be calculated.
- the model generation unit 130 sets the nails and the standard object photographed in the first image to be located in the X and Y planes on the 3D coordinate system, and the coordinates recognized in the shape of the tip of the nail in the second image From the values and coordinate values recognized in the side shape of the nail body of the third image, the degree of curvature of the nail tip and the degree of curvature of the nail body side can be calculated, and the degree of curvature of the nail tip and the degree of curvature of the nail body side To calculate the scalar space in which the Z-axis coordinates are calculated for the X and Y planes, an artificial nail model on a 3D coordinate system can be generated.
- the model generating unit 130 sets the thickness (THICKNESS), horizontal surface height (HORIZONTAL CURVATURE HEIGHT), vertical surface height (VERTICAL CURVATURE HEIGHT) and nail length (NAIL LENGTH) of the generated artificial nail model as 'mm'. It can be fine-tuned in units, and additional parameters can be further included to be adjusted, and the detailed adjustment unit is not limited thereto.
- the model generation unit 130 may transmit data on the artificial nail model that is finally generated to the user through a download function (DOWNLOAD), or may be saved (SAVE PROJECT).
- DOWNLOAD download function
- SAVE PROJECT saved
- the model generating unit 130 may generate the artificial nail model as a 3D printable 3D model file (eg, STL file, etc.).
- a 3D printable 3D model file eg, STL file, etc.
- model generation unit 130 may transmit the image data used in the artificial nail model generation process, coordinate values, and the reference artificial nail model to the image learning unit 140 to generate training data from the adjusted parameters.
- the image learning unit 140 may generate training data by learning the image data, coordinate values used to generate the artificial nail model, and parameters that have adjusted the reference artificial nail model, and generate training data, and the training data model generation unit 130. Can be provided on.
- the model generator 130 may more effectively determine the shape and scale value of the artificial nail model on the 3D coordinate system using the training data.
- FIG. 9 is an operational flow diagram showing a model reconstruction method using photogrammetry according to an embodiment of the present invention.
- FIG. 10 is a detailed flowchart illustrating an example of the step of receiving image data illustrated in FIG. 9.
- FIG. 11 is a detailed flowchart illustrating an example of the image data analysis step illustrated in FIG. 9.
- 12 is a detailed operation flow diagram of an example of the step of creating an artificial nail model shown in FIG. 9.
- a model reconstruction method using photogrammetry may first receive image data (S210).
- step S210 may receive image data of a target nail and a standard specification object for generating a target artificial nail model.
- step S210 may first generate image data (S211).
- the user terminal device may generate the image data by photographing the target nail and the standard object together (S211).
- the image data may be generated using various types of user terminal devices capable of generating image data by capturing a 2D digital image such as a smart phone, a smart tablet, or a digital camera.
- step S211 the user terminal device generates image data required to generate the artificial nail model to the user through the user terminal device according to the guidance of the application, software, and website that provides the artificial nail model creation service. You can request.
- an application, software, and website that provides an artificial nail model creation service may output information necessary for generating an artificial nail model as a message through a user terminal device.
- the information necessary to generate the artificial nail model may include a message explaining a method of photographing the subject's hand to generate the artificial nail model.
- step S211 may control the application, software, and website providing the artificial nail model generation service to capture image data required to generate the artificial nail model using the camera built in the user terminal device.
- step S210 may transmit image data (S212).
- the user terminal device may transmit image data to a model reconstruction device using photogrammetry through a network.
- the user terminal device may upload image data to an application, software, and website that provides an artificial nail model service.
- step S210 may receive image data (S213).
- step S213 the image data uploaded by the user in order to request the creation of artificial nails from an application, software, and website that may receive image data from a user terminal device through a network or provide an artificial nail model creation service. You can also download it.
- the image data may include a first image for recognizing the shape of the nail body and a second image for recognizing the shape of the tip of the nail.
- FIGS. 2 and 3 show an example of the first image
- FIG. 4 shows an example of the second image
- the first image and the second image may be photographed in a state in which the standard specification object and the bottom of the finger of the object are in close contact.
- the first image may be taken with the nail body of the object and the standard object at the point of view of the back of the object.
- the first image is an image taken with the bottom of the thumb of the left hand in close contact with a standard object at the time of looking at the back of the object, and the bottom of the remaining four fingers of the left hand at the time of looking at the object's back
- the bottom of the four fingers may include an image captured in close contact with a standard object.
- the tip of the fingernail and the standard object may be photographed together when the fingertip of the object is viewed.
- the second image was taken with the bottom of the thumb of the object in close contact with one surface of the standard object, and the bottom of the remaining four fingers of the object with the other surface of the standard object in close contact. It may include a left-handed image and a right-handed image.
- the fingertip of the object needs to be photographed at a point in time facing the direction in which the finger extends in order to recognize the degree of bending of the fingertip.
- the image data may further include a third image of the side of the finger in order to recognize the degree of bending of the nail body.
- the standard specification object may correspond to an object manufactured according to the international standard specification.
- a standard specification object may correspond to an object manufactured according to an international standard developed by an international standardization organization such as ISO (International Organization for Standardization), and an object produced according to the international standard may be a credit card, It can correspond to various objects such as paper money, coins, and paper.
- ISO International Organization for Standardization
- a standard specification object according to an embodiment of the present invention will be described using a credit card as an example.
- model reconstruction method using photogrammetry may analyze image data (S220).
- step S220 recognizes the shape of the nail body and the shape of the nail tip for the target nail from the image data, and the shape of the nail body and the shape of the nail tip based on the standard specification object. You can determine the parameters for
- step S220 recognizes the shape of the nail body at the point of view of the back of the hand from the first image, and determines parameters for the shape of the nail body based on the standard specification object. have.
- step S220 may first determine a parameter for the shape of the nail body (S221). That is, step S221 may include the nail at the point of view of the back of the object from the first image. At least four points may be set on the nail boundary of the body, and the parameters may be determined by using the at least four points as coordinate values for the shape of the nail body.
- step S221 may determine a type of nail shape of the at least one selectable artificial nail model based on the shape of the nail body recognized at the point of view of the back of the object from the first image. .
- a model reconstruction apparatus using photogrammetry shows a type of nail shape of a selectable artificial nail model.
- the types of nail shapes according to an embodiment of the present invention are SQUARE, SQUARE Oval, SQUARE OVAL, SQUOVAL OR SEMI SQUARE, ROUNDED, OVAL, ALMOND , Ballerina or coffin (BALLERINA OR COFFIN) and stiletto (STILETTO) is found to be included, additional types of nail shape may be further included.
- step S221 is at least one of the nail shapes of the artificial nail model, in order to recommend the nail shape of the artificial nail model to the user in comparison with the recognized shape of the target nail body and the nail body of the reference artificial nail model.
- One or more may be selected, and the shape of the nail of the selected artificial nail model may be recommended to the user through the user terminal device.
- step S221 when the length of the target nail is longer than the length of the nail of the reference artificial nail model, square, square oval, scoobal or semi-square may be selected, and the length of the target nail is If the length of the nail of the reference artificial nail model is shorter, a round may be recommended, and when the width of the target nail is narrower than the width of the nail of the reference artificial nail model, oval and almond may be selected.
- step S220 may determine a parameter for the shape of the tip of the nail (S222).
- step S222 recognizes the shape of the tip of the nail at the point of view of the fingertip of the target from the second image, and determines a parameter for the shape of the tip of the nail based on the standard specification object. You can.
- step S222 two points, one for each point corresponding to both sides of the nail, are set at a point in time when the finger tip of the target is viewed from the second image, and By setting additional points at at least one point, the parameters may be determined by using the two points and the additional points as coordinate values for the shape of the tip of the nail.
- step S222 a straight line connecting the two points is generated, and the point of the end of the nail that meets the waterline that is perpendicular to the straight line and penetrates the nail body of the target is set as the additional point. You can.
- step (S222) is to set the two points on the standard object, to create a straight line connecting the two points, using the slope of the straight line generated on the standard object to the shape of the tip of the nail You can adjust the position of the coordinate values for.
- step S220 may determine parameters for the shape of the side of the nail (S223).
- the shape of the nail side photographed at the point of view of the finger side of the object may be recognized, and parameters for the shape of the nail side may be determined.
- step S223 sets two points, one for each of the nail end and the root of the nail body, at the point of view of the finger side from the third image, and adds additional points to at least one point of the nail body.
- the parameter may be determined by setting the two points and the additional point as coordinate values for the shape of the side surface of the nail.
- step (S223) is to create a straight line connecting the two points, perpendicular to the straight line, the point of the nail body that meets the waterline in the direction penetrating the nail body of the target can be set as the additional point have.
- step S223 sets two points on the standard-sized object, generates a straight line connecting the two points, and uses the slope of the straight line generated on the standard-sized object to determine the shape of the side of the nail. You can adjust the position of the coordinate values.
- step S220 the execution order of steps S221, S222 and S223 included in step S220 may be changed.
- model reconstruction method using photogrammetry may generate an artificial nail model (S230).
- an artificial nail model may be generated based on the parameters.
- an artificial nail model may be generated by first adjusting the shape of the reference nail model (S231).
- step S231 adjusts the shape of the nail body for the reference artificial nail model based on the coordinate values for the shape of the nail body, and the artificial nail model from the reference artificial nail model in which the shape of the nail body is adjusted.
- step S231 adjusts the shape of the nail tip of the reference artificial nail model based on coordinate values for the shape of the nail tip, and from the reference artificial nail model in which the shape of the nail tip is adjusted.
- the artificial nail model can be generated.
- step S231 adjusts the side shape of the nail body of the reference artificial nail model based on the coordinate values for the side shape of the nail body, and from the reference artificial nail model in which the side shape of the nail body is adjusted. You can create artificial nail models.
- step S230 may determine the scale value of the artificial nail model (S232).
- step S232 may determine a scale value of the artificial nail model corresponding to the standard specification object based on the coordinate values of the artificial nail model and the coordinate values of the standard specification object.
- step S232 determines the scale value of the artificial nail model by comparing the coordinate values of the nails photographed together in the first image, the second image, and the third image with a standard object, and the actual size of the artificial nail model Can be calculated.
- step (S232) is set to the nail and the standard object is taken in the first image is located in the X, Y plane on the three-dimensional coordinate system, and the coordinate values recognized in the shape of the tip of the nail in the second image .
- the degree of curvature of the nail tip and the degree of curvature of the nail body side can be calculated, and the degree of curvature of the nail tip and the degree of curvature of the nail body side X .
- step S232 the thickness of the created artificial nail model (THICKNESS), horizontal surface height (HORIZONTAL CURVATURE HEIGHT), vertical surface height (VERTICAL CURVATURE HEIGHT) and nail length (NAIL LENGTH) in 'mm' units It can be fine-tuned, and additional parameters can be further included to be adjusted.
- step S232 data on the artificial nail model finally generated may be transferred to a user through a DOWNLOAD function, or may be stored (SAVE PROJECT).
- step S232 may generate the artificial nail model as a 3D printable 3D model file (eg, STL file, etc.).
- a 3D printable 3D model file eg, STL file, etc.
- step S230 may generate learning data (S233).
- learning data may be generated from image data, coordinate values used in the artificial nail model creation process, and parameters adjusted to the reference artificial nail model.
- step S233 may generate learning data by learning the image data, coordinate values used to generate the artificial nail model, and parameters that have adjusted the reference artificial nail model.
- the learning data may be used in steps S231 and S232 to more effectively determine the shape and scale value of the artificial nail model on the 3D coordinate system.
- FIG. 13 is a diagram illustrating a computer system according to an embodiment of the present invention.
- a model reconstruction apparatus using photogrammetry may be implemented in a computer system 1100 such as a computer-readable recording medium.
- the computer system 1100 includes one or more processors 1110, memory 1130, user interface input device 1140, and user interface output device 1150 that communicate with each other through the bus 1120. And storage 1160.
- the computer system 1100 may further include a network interface 1170 connected to the network 1180.
- the processor 1110 may be a central processing unit or a semiconductor device that executes processing instructions stored in the memory 1130 or the storage 1160.
- the memory 1130 and the storage 1160 may be various types of volatile or nonvolatile storage media.
- the memory may include ROM 1131 or RAM 1132.
- the apparatus and method for reconstructing a model using photogrammetry are not limited to the configuration and method of the described embodiments as described above, and the above embodiments have various modifications. All or part of each embodiment may be selectively combined to be configured.
- the present invention is intended to provide a user-customized artificial nail model suitable for a user conveniently and conveniently, and has industrial applicability in the field of artificial nail manufacturing.
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Abstract
Description
Claims (16)
- 인조 손톱 모델을 생성하기 위한 대상의 손톱과 표준 규격 사물이 함께 촬영된 이미지 데이터를 수신하는 이미지 수신부;상기 이미지 데이터에서 상기 대상의 손톱에 대한 손톱 몸체의 모양과 손톱 끝 단의 모양을 인식하고, 상기 표준 규격 사물에 기반하여 상기 손톱 몸체의 모양과 상기 손톱 끝 단의 모양에 대한 파라미터를 결정하는 이미지 분석부; 및상기 파라미터에 기반하여 인조 손톱 모델을 생성하는 모델 생성부;를 포함하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 1에 있어서,상기 표준 규격 사물은국제 표준 규격에 따라 제작된 사물에 상응하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 2에 있어서,상기 이미지 데이터는상기 손톱 몸체의 모양을 인식하기 위한 제1 이미지 및 상기 손톱 끝 단의 모양을 인식하기 위한 제2 이미지를 포함하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 3에 있어서,상기 제1 이미지 및 상기 제2 이미지는상기 표준 규격 사물과 상기 대상의 손가락 밑바닥이 밀착된 상태로 촬영된 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 4에 있어서,상기 제1 이미지는상기 대상의 손등을 바라보는 시점에서 상기 대상의 손톱 몸체와 상기 표준 규격 사물이 함께 촬영된 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 5에 있어서,상기 제2 이미지는상기 대상의 손가락 끝을 바라보는 시점에서 손톱 끝 단과 상기 표준 규격 사물이 함께 촬영된 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 6에 있어서,상기 제2 이미지는상기 표준 규격 사물의 일 면에 상기 대상의 엄지 손가락 밑바닥이 밀착되고, 상기 표준 규격 사물의 다른 일 면에 상기 대상의 나머지 네 개의 손가락 밑바닥이 모두 밀착된 상태로 촬영된 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 7에 있어서,상기 이미지 분석부는상기 제1 이미지로부터 상기 손등을 바라보는 시점에서 상기 손톱 몸체의 모양을 인식하고, 상기 표준 규격 사물에 기반하여 상기 손톱 몸체의 모양에 대한 파라미터를 결정하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 8에 있어서,상기 이미지 분석부는상기 제1 이미지로부터 상기 대상의 손등을 바라보는 시점에서 상기 손톱 몸체의 손톱 경계선에 적어도 4개 이상의 포인트들을 설정하고, 상기 적어도 4개 이상의 포인트들을 상기 손톱 몸체의 모양에 대한 좌표 값들로 상기 파라미터를 결정하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 9에 있어서,상기 이미지 분석부는상기 제1 이미지로부터 상기 대상의 손등을 바라보는 시점에서 인식된 상기 손톱 몸체의 모양에 기반하여 적어도 하나 이상의 선택 가능한 상기 인조 손톱 모델의 손톱 모양의 종류를 결정하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 10에 있어서,상기 이미지 분석부는상기 제2 이미지로부터 상기 대상의 손가락 끝을 바라보는 시점에서 상기 손톱 끝 단의 모양을 인식하고, 상기 표준 규격 사물에 기반하여 상기 손톱 끝 단의 모양에 대한 파라미터를 결정하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 11에 있어서,상기 이미지 분석부는상기 제2 이미지로부터 상기 대상의 손가락 끝을 바라보는 시점에서 손톱의 양 측에 해당하는 점에 각각 하나씩 2개의 포인트들을 설정하고, 상기 손톱 끝 단의 적어도 하나 이상의 지점에 추가 포인트를 설정하여 상기 2개의 포인트들과 상기 추가 포인트를 상기 손톱 끝 단의 모양에 대한 좌표 값들로 상기 파라미터를 결정하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 12에 있어서,상기 이미지 분석부는상기 2개의 포인트들을 이은 직선을 생성하고, 상기 직선에 대해 수직하고, 상기 대상의 손톱 몸체를 관통하는 방향인 수선과 만나는 손톱 끝 단의 지점을 상기 추가 포인트로 설정하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 13에 있어서,상기 모델 생성부는상기 손톱 몸체의 모양과 상기 손톱 끝 단의 모양에 대한 좌표 값들에 기반하여 기준 인조 손톱 모델에 대한 손톱 몸체의 모양과 손톱 끝 단의 모양을 조정하고, 손톱 몸체의 모양과 손톱 끝 단의 모양이 조정된 기준 인조 손톱 모델로부터 상기 인조 손톱 모델을 생성하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 청구항 14에 있어서,상기 모델 생성부는상기 인조 손톱 모델의 좌표 값들과 상기 표준 규격 사물의 좌표 값들에 기반하여, 상기 표준 규격 사물에 상응하는 상기 인조 손톱 모델의 스케일 값을 결정하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 장치.
- 사진 측량을 이용한 모델 재구성 장치의 사진 측량을 이용한 모델 재구성 방법에 있어서,인조 손톱 모델을 생성하기 위한 대상의 손톱과 표준 규격 사물이 함께 촬영된 이미지 데이터를 수신하는 단계;상기 이미지 데이터에서 상기 대상의 손톱에 대한 손톱 몸체의 모양과 손톱 끝 단의 모양을 인식하고, 상기 표준 규격 사물에 기반하여 상기 손톱 몸체의 모양과 상기 손톱 끝 단의 모양에 대한 파라미터를 결정하는 단계; 및상기 파라미터에 기반하여 인조 손톱 모델을 생성하는 단계;를 포함하는 것을 특징으로 하는 사진 측량을 이용한 모델 재구성 방법.
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CA3112538A CA3112538A1 (en) | 2018-09-28 | 2019-09-25 | Apparatus and method for model reconstruction using photogrammetry |
EP19867687.6A EP3859686A4 (en) | 2018-09-28 | 2019-09-25 | DEVICE AND METHOD FOR MODEL RECONSTRUCTION USING PHOTOGRAMMETRY |
JP2021543106A JP2022502230A (ja) | 2018-09-28 | 2019-09-25 | フォトグラメトリを使用するモデル再構成装置と方法 |
KR1020217008322A KR20210042160A (ko) | 2018-09-28 | 2019-09-25 | 사진 측량을 이용한 모델 재구성 장치 및 방법 |
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WO2020176560A1 (en) * | 2019-02-28 | 2020-09-03 | Cochran Brianna Storm | Soluble 3d printed custom artificial nails designed through a mobile application |
JP2024517839A (ja) * | 2021-05-03 | 2024-04-23 | ディット・テクノロジーズ・インコーポレーテッド | ユーザ頭部モデルのスケール化を実施するための基準物体3dモデルの生成 |
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JP2022502230A (ja) | 2022-01-11 |
EP3859686A4 (en) | 2022-08-10 |
EP3859686A1 (en) | 2021-08-04 |
US11147353B2 (en) | 2021-10-19 |
CA3112538A1 (en) | 2020-04-02 |
CN113678170A (zh) | 2021-11-19 |
US20210030133A1 (en) | 2021-02-04 |
KR20210042160A (ko) | 2021-04-16 |
US20200105007A1 (en) | 2020-04-02 |
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