WO2013071416A1 - Method and system for forming a virtual model of a human subject - Google Patents

Method and system for forming a virtual model of a human subject Download PDF

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Publication number
WO2013071416A1
WO2013071416A1 PCT/CA2012/001059 CA2012001059W WO2013071416A1 WO 2013071416 A1 WO2013071416 A1 WO 2013071416A1 CA 2012001059 W CA2012001059 W CA 2012001059W WO 2013071416 A1 WO2013071416 A1 WO 2013071416A1
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WO
WIPO (PCT)
Prior art keywords
subject
scanning
module
scanning module
reference data
Prior art date
Application number
PCT/CA2012/001059
Other languages
French (fr)
Inventor
Jean-Pierre SAMSON
Michel Babin
Original Assignee
Techmed 3D Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Techmed 3D Inc. filed Critical Techmed 3D Inc.
Priority to CA2836201A priority Critical patent/CA2836201C/en
Priority to US14/359,056 priority patent/US9691176B2/en
Priority to CN201280056879.0A priority patent/CN104080401B/en
Priority to EP12850361.2A priority patent/EP2779898A4/en
Publication of WO2013071416A1 publication Critical patent/WO2013071416A1/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • AHUMAN NECESSITIES
    • A41WEARING APPAREL
    • A41HAPPLIANCES OR METHODS FOR MAKING CLOTHES, e.g. FOR DRESS-MAKING OR FOR TAILORING, NOT OTHERWISE PROVIDED FOR
    • A41H1/00Measuring aids or methods
    • A41H1/02Devices for taking measurements on the human body
    • AHUMAN NECESSITIES
    • A43FOOTWEAR
    • A43DMACHINES, TOOLS, EQUIPMENT OR METHODS FOR MANUFACTURING OR REPAIRING FOOTWEAR
    • A43D1/00Foot or last measuring devices; Measuring devices for shoe parts
    • A43D1/02Foot-measuring devices
    • A43D1/025Foot-measuring devices comprising optical means, e.g. mirrors, photo-electric cells, for measuring or inspecting feet
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1075Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/003D [Three Dimensional] image rendering
    • G06T15/005General purpose rendering architectures
    • AHUMAN NECESSITIES
    • A43FOOTWEAR
    • A43DMACHINES, TOOLS, EQUIPMENT OR METHODS FOR MANUFACTURING OR REPAIRING FOOTWEAR
    • A43D2200/00Machines or methods characterised by special features
    • A43D2200/60Computer aided manufacture of footwear, e.g. CAD or CAM
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0077Devices for viewing the surface of the body, e.g. camera, magnifying lens
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2215/00Indexing scheme for image rendering
    • G06T2215/16Using real world measurements to influence rendering

Definitions

  • the improvements generally relate to the field of 3D scanning of live subjects with a hand-held scanner, and can more particularly apply to the scanning of portions of the human body.
  • Non-contact, hand-held scanners are available on the market and can be used to obtain a 3D representation of an immobile object by moving the hand-held scanner around the object, that is relative to a reference located at a fixed position on the ground (ground reference), while maintaining the field of view of the scanner oriented toward the object.
  • Non-contact scanning can be done either actively or passively. Active scanning involves emitting a light signal or the like which is reflected on the surface to be scanned, whereas passive scanning does not control emission and can rather involve a process similar to detecting depth using human binocular vision.
  • Hand-held scanners are typically surface scanners.
  • a single scan taken from a single position and orientation of the scanner in space will not produce a complete model of the subject.
  • Multiple scans, even hundreds, from many different directions are usually required to obtain information about all sides of the subject.
  • These scans each produce a depth image which have to be brought in a common reference system, a process that will be referred to herein as registration, to create a complete model inclusive of hidden faces in individual ones of the depth images.
  • the depth images typically include at least a depth value for each pixel corresponding to the field of view of the scanner, so the depth images can be 3D images if the scanner has a 2D array of pixels.
  • a method of forming a virtual model of a subject using at least a hand-held scanner and a scanning module comprising : providing module reference data concerning the scanning module; immobilizing the subject relatively to the scanning module; using the hand-held scanner to obtain a plurality of depth images of the immobilized subject and module, the depth images being taken at different positions of the hand-held scanner relative to a ground reference; for each one of the plurality of depth images, determining a position and an orientation of the scanning module in the depth image using the module reference data, and establishing a common reference system for the subject using the determined position and orientation of the scanning module; forming the virtual model of the subject, including registering the plurality of depth images in the common reference system associated to the scanning module.
  • a method of forming a virtual model of a subject using at least a hand-held scanner and a scanning module comprising : providing module reference data concerning the scanning module; immobilizing the subject relative to the scanning module; obtaining a plurality of depth images of the immobilized subject and module, the depth images being from corresponding different points of view relative to a ground reference; determining a position and an orientation of the scanning module in each one of the depth images using the module reference data; forming a virtual model of the subject, including registering the plurality of depth images using the determined position and orientation of the scanning module.
  • a system for forming a virtual model of a subject comprising : a scanning module adapted to a type of the subject, for the subject to be immobilizable in abutment with the scanning module; a hand- held scanner to obtain a plurality of depth images of the immobilized subject and module, the depth images being taken at different positions of the hand-held scanner relative to a ground reference; module reference data concerning the scanning module; a software for determining a position and an orientation of the scanning module in each of the depth images using the module reference data, establishing a common reference system for the subject using the determined position and orientation of the scanning module; wherein the virtual model of the subject can be formed including registering the plurality of depth images in the common reference system associated to the scanning module.
  • FIG. 1 is a flow chart of an example method for forming a virtual model of a subject
  • FIG. 2 is block diagram of an example system for forming a virtual model of a subject
  • FIGs. 3A to 3C illustrate the forming of a virtual model of a human foot
  • Fig. 4 is an oblique view showing a scanning module for a human head
  • Fig. 5 is an oblique view showing a scanning module for a human torso.
  • an example method includes immobilizing the subject to be scanned relative to a scanning module 1 10.
  • the configuration of the scanning module will depend on the type of subject being scanned. Several examples of subject types and scanning modules are detailed below.
  • Depth images of the combined subject and scanning module are then taken with a hand-held scanner 112, which will be referred to herein as scanning.
  • the depth images typically include at least a depth value for each pixel corresponding to the field of view of the scanner, so the depth images are typically 3D images if the scanner has a 2D array of pixels.
  • the depth images can optionally include further information for each pixel, such as color, brightness, etc.
  • each one of the depth images only shows a portion of the subject and scanning module which is in the field of view of the hand-held scanner, so the hand-held scanner is moved relative to a ground reference in order to have depth images showing all sides of the subject which are desired to be included in the 3D model.
  • these depth images all typically include information on exposed surfaces of the subject and of the module.
  • the information about the different surfaces they include needs to be registered together in a common reference.
  • the common reference is established with respect to the scanning module. More particularly, module reference data concerning the specific scanning module used can be made available 1 14. As will be detailed below, this can be achieved by scanning the scanning module alone beforehand, or alternately, by providing a satisfactory virtual model of the scanning module by other suitable means.
  • Fig. 2 is a block diagram showing an example system to realize the method shown in Fig. 1.
  • the system includes three main components: a hand-held scanner 210, a scanning module 220 and a software 230.
  • the software 230 can be incorporated in a separate computer, for instance, or be incorporated in the hand-held scanner itself.
  • the subject will be immobilized relative to the scanning module 220 with which it will be scanned by the hand-held scanner 210 and analysed by the software 230.
  • Module reference data concerning the scanning module is provided to the software for the software 230 to be able to recognize the scanning module in the depth images from the hand-held scanner 210. Any satisfactory hand-held scanner 210 that outputs a triangulated representation of the subject can be used.
  • the scanning module 220 can be adapted according to the basic technology for data acquisition and 3D positioning of the hand-held scanner selected.
  • the scanning module 220 can be said to have 3 main purposes: immobilization and stability of the subject (relative to the scanning module that is), making it possible to record a complete scan of the subject from all desired angles, and pre-align the subject. It's the pre-alignment functionality that is the key to the automation done by the software 230. It may be possible to pre-align the subject using the scanning module regardless of the handheld scanner used, but the strategy behind it may be slightly different from one technology to another.
  • An example of a hand-held scanner which can be used is the ErgoSCANTM scanner manufactured by Creaform Inc. This type of scanner can recognize rounded positioning targets of 5mm that can be affixed to the scanning module in the field of view of the handheld scanner. The observed pattern of those targets can be analysed by the scanner to determine the relative position and orientation of the hand-held scanner relative to the scanning module. The pattern of targets can be pre-recorded to constitute module reference data.
  • the shape and size of the scanning module itself may provide sufficient distinctive features for its relative position and orientation to be detectable by software based on the depth images taken without requiring the use of scanning targets.
  • an electromagnetic field emitter housed in the scanning module and of which the exact disposition of the emitted electromagnetic field in the vicinity of the scanning module is known. Then, by using an electromagnetic field detector in the hand-held scanner, the relative position and orientation of the hand-held scanner relative to the scanning module can be determined for each of the depth images taken, and the common reference system established. In this case, the configuration of the electromagnetic field is made part of the module reference data which software can access to establish the common reference system.
  • Software can : pre-configure scanning parameters as a function of the type of subject, automatically perform post-treatment operations on the model, and detect features on the subject to correct its alignment and calculate a set of pre-defined measurements, for instance.
  • One step of the scanning process can consist in identifying the type of object, which can be said to provide subject reference data.
  • the subject reference data can either be predefined in the software, or can be inputted via a user interface, for instance.
  • the subject reference data can be used to pre-configure the hand-held scanner to record that type of subject, which can include settings like resolution, laser power, camera shutter time, scanning volume size and location.
  • Subject reference data can also include information on the basic geometry of the subject.
  • scanning targets can be used on particular physiological features of the subject to assist in later registration, alignment correction, or completion of the virtual model, in which case the subject reference data can include a definition of the location of such scanning targets.
  • the software can be used to recognize features of the known subject type using the subject reference data and can correct the alignment of the subject in a same way every time according to the subject's own features.
  • the subject reference data can assist in the relative alignment of the virtual images. With the subject aligned, it is possible to calculate a set of pre-defined measurements. Those measurements can be defined according to the subject type and in the context of the application in which the model is to be used.
  • FIG. 3A shows a first embodiment of a system 10 where the subject 12 is a human foot.
  • a scanning module 14 can include a solid frame 16 with a central aperture which houses a foot-receiving transparent pane 20. This allows to immobilize the foot relative to the scanning module while simultaneously allowing scanning of the underside of the foot.
  • the scanning module 14 has two removable legs which receive the solid frame 16 and transparent pane 20 associate thereto at a convenient sloping angle with respect to the ground 24, for the foot placed thereon to be relatively comfortable in remaining immobile during the scanning process.
  • the human foot subject 12 is shown placed in stable abutment against the foot-receiving transparent pane and is kept immobilized relative to the scanning module throughout the scanning process.
  • the scanning process includes taking a plurality of depth images of the combined foot 12 and scanning module 14 with the handheld scanner 26.
  • the depth images are taken from different locations and orientations as the hand-held scanner is moved manually by the hand of an operator relative to the ground 24.
  • the hand-held scanner 26 is moved relative to a ground reference in a manner that depth images are obtained showing each portion of the exposed surface of the foot.
  • the hand-held scanner 26 is also moved to the side of the scanning module opposite the leg to take depth images of the underside of the foot 12 across the transparent pane 20 of the scanning module 14.
  • each depth image only includes information about the exposed surface of the subject which faces the hand-held scanner (i.e. that is exposed to the field of view of the hand-held scanner), and does not include information concerning the surface of the subject which faces away from the hand-held scanner 26.
  • Each of the depth images typically includes information concerning the distance of a first obstacle in the path of light for each pixel in a field of view of the hand-held scanner 26.
  • the information available in the different depth images needs to be registered in a common reference system.
  • the virtual model which is formed in this example is of a 3D shell type, i.e. it is a hollow shell model of the foot which combines the shape information of the external surface of the foot from the different depth images but which does not have information from the inside of the foot, such as bones or the like.
  • the shell model be left with a hole 32 in the shin which corresponds to scan limit.
  • the common reference system 34 is established in relation to the scanning module 14, relative to which the subject 12 is immobilized during the scanning.
  • module reference data is obtained prior to registration.
  • the module reference data is of a nature such that the position and orientation of the hand-held scanner 26 relative to the scanning module 14 can be determined for each of the depth images. Since the subject is immobilized relative to the scanning module, the relative position and orientation with the subject also becomes known. Henceforth, establishing a common reference system 34 in relation to the scanning module corresponds to establishing a common reference system 34 in relation to the subject. For example, if Cartesian coordinates are used, an origin of the common reference system 34 for the subject can be positioned at a fixed location relative to the scanning module 14, and the axes can be oriented in predetermined orientations relative to the scanning module 14.
  • the X and Y axes can be oriented to correspond to a plane coinciding with the foot abutment surface 19 of the transparent pane 20, and the normal Z axis correspond to the height, for instance.
  • module reference data can establish the common reference system in relation with the scanning module.
  • the common reference system can be achieved using a plurality of reflective targets 40 on the scanning module.
  • reflective targets 40 For instance, circular reflective targets having a 5mm diameter with an adhesive backing can be applied by hand on the scanning module. If they are hand-applied, the reflective targets will be spaced from one another with a certain degree of randomness and so any combination of three or more of the scanning targets being detected in the field of view of the hand-held scanner will correspond to a unique combination of scanning target disposition allowing identify the position and orientation of the common reference system.
  • the scanning module can be scanned alone, to create a virtual model thereof in which its exact signature of scanning target disposition is included, and can include the common reference system (origin and axis orientation).
  • This virtual model can form the module reference data.
  • software can access the virtual model, compare the detected scanning targets to the ones in the virtual model, and automatically determine the position and orientation of the scanning module with respect to the position and orientation of the hand-held scanner.
  • the images of the underside of the foot and the images of the upper side of the foot can both be independently referenced using the common reference which is based on the scanning module, and therefore be registered based on the common reference even if the event of a break in the images as the hand-held scanner passes on the side of the scanning module.
  • the images taken from the under portion of the foot can thus be merged with the images taken from the upper portion of the foot in the common reference plane as long as the foot did not move relative to the scanning module between both sets of images.
  • subject reference data can also be obtained prior to registration.
  • the subject reference data can include information concerning a rough expected shape, position and orientation of the subject in relation to the scanning module which can help in creating the model of the subject. For instance, once the scan has been completed, a rough representation of the pre-aligned object on the scanning module can be obtained. This representation can be far from perfect and need post-treatment operations as it may contain holes, noise and/or triangulation errors. By knowing the subject type and its global orientation in space, it also becomes possible to automatically fill the holes, clean-up the noise and correct triangulation errors by using 3D post-treatment algorithms.
  • Subject reference data can also include information pertaining to positioning features used on the subject.
  • positioning features such as scanning targets can be affixed on the subject at key locations which can correspond to specific anatomical features.
  • scanning targets can be positioned on the lateral and medial malleolus for instance.
  • Such positioning features can help the software identifying those points for alignment and comparison applications (i.e. monitoring the evolution of the subject foot in time, or using the scan of the subject foot in relation to a shoe, boot, orthotic foot brace, or the like).
  • the foot is simply abutted against the transparent pane, henceforth, a plane corresponding to the underside of the foot is determined in space relative to the common reference system 34, but the foot itself is free to be pivoted to a certain degree about the Z axis.
  • the software can use a transformation matrix to move the foot to make its Brannock Axis coincide with the X Axis of the coordinate system.
  • the origin can also be centered on the heel region.
  • 2 points are used : the medial extremum of the heel region and the medial extremum of the ball region.
  • the following algorithm can be used. "Vertices" can be 3D points defining triangles of the 3D model. In this algorithm, only the vertices 25 mm from the XY plane are used. (Z ⁇ 25).
  • 1. Calculate the approximate length of the pre-aligned foot by using the X coordinate of the Vertices: Lenght Maximum X - Minimum X.
  • Step 4 Repeat Step 4 by starting with the new vertex V instead of minimum X vertex and find a new vertex V. It stops repeating when it finds a vertex V situated in the ball region.
  • the Brannock axis is the 2 lasts vertex V found in step 5.
  • the foot is now aligned on the Brannock axis and centered on the heel.
  • the transformation matrix is the combination of the rotation matrix and the translation vector.
  • a set of predefined measurements can be calculated for applications such as orthotics and custom shoes.
  • the subject is a human head type. For instance, scanning the evolution of a baby's head can be very helpful in the context of a treatment for plagiocephaly correction.
  • an example of a scanning module can be in the form of a pair of glasses 300.
  • the scanning module can pre-align the head according to 3 specific feature locations : 1) the top of the nose (between the eyes), using a nose top abutment; 2) and 3) the top of left and right ears at the region where the ear connects to the head, using corresponding left and right ear abutments 312, 314.
  • the common coordinate system can thus be established in relation with the scanning module for all depth images to be correctly registered with one another into the 3D model of the head.
  • the type of model can become known to the software which can automatically clean-up noise, correct triangulation errors, fill undesirable holes in the model shell, and finalize the model for it to become "watertight" and ready to be sent to a CNC machine or CAD software for instance.
  • the 3 specific abutment points of the scanning module can be used to form a virtual a reference plane which forms a roughly circular intersection with the model all around.
  • a center point can be calculated from the roughly circular intersection and the evolving models of the head which can be taken every month during treatment for instance, can all be centered on their center point to be compared from one another. This can be done by positioning the origin of the model at the center point. If using Cartesian coordinates, the X axis can face the front (nose), the Y axis can face the side (ear), and the Z axis can point upwardly to the top of the head, for instance.
  • Measurements curves and statistics on the head geometry can now be calculated as they will be comparable from scan to scan, even if the head is growing.
  • scanning targets are used on the scanning module, the scanning targets can be recorded in a file unique to a specific scanning module serial number.
  • This virtual module model will be loaded as module reference data to be used in registering the different depth images of the head in the common reference system.
  • the subject is a torso.
  • the scanning module is provided in the form of a belt 400, and more specifically in the form of a belt buckle 410 which is immobilized at a given location between the person's bellybutton and groin area by way of the belt strap 412 being wrapped around the person's waist.
  • the scanning module reference data is related to the unique pattern of a plurality of scanning targets 414 positioned on the outer face of the buckle, which fixes a common reference system 416 relative to the buckle.
  • Alternate embodiments can use the buckle's known geometry as the basis of the common reference system, without scanning targets, for instance. If Cartesian coordinates are used, the origin can be located at the buckle, the X axis can point forward, the Z axis can point upward, and the Y axis can point toward the left of the subject, for instance.
  • the subject type can be predefined or inputted as being a torso prior to scanning. Once the scan is completed, the 3D images can ⁇ >e registered into a rough 3D model potentially having holes and noise. However, knowing the torso model type and its general alignment relative the buckle, the software can automatically fill the holes and finalize the model for it to become watertight, clean, free of triangulation errors, and ready to be sent to a CNC machine or other CAD software for instance.
  • additional precision can be obtained by using additional scanning targets on key physiological locations on the torso prior to scanning, for instance.
  • additional scanning targets can be affixed on the sternum, coccyx, and 7 th cervical vertebra to name one possible example.
  • An example algorithm for the alignment of a torso on the middle axis can use a transformation matrix to move the torso so that its middle Axis coincides with the Z Axis of the coordinate system and to center the origin on this axis. To identify the middle axis, 2 points can be used: the center of the highest horizontal circumference curve and the center of the lowest horizontal circumference curve. To find those points and the transformation matrix, the following algorithm can be used:
  • the torso is now aligned on the middle axis and centered on ZMin Center vertex.
  • the transformation matrix is the combination of the rotation matrix and the translation vector.

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Abstract

The method uses a hand-held scanner and a scanning module and can include : providing module reference data concerning the scanning module; immobilizing the subject relative to the scanning module; obtaining a plurality of depth images of the immobilized subject and module, the depth images being from corresponding different points of view relative to a ground reference; determining a position and an orientation of the scanning module in each one of the depth images using the module reference data; and forming the virtual model of the subject, including registering the plurality of depth images using the determined position and orientation of the scanning module.

Description

METHOD AND SYSTEM FOR FORMING
A VIRTUAL MODEL OF A HUMAN SUBJECT
FIELD
[0001] The improvements generally relate to the field of 3D scanning of live subjects with a hand-held scanner, and can more particularly apply to the scanning of portions of the human body.
BACKGROUND
[0002] 3D scanning is well known per se. Non-contact, hand-held scanners are available on the market and can be used to obtain a 3D representation of an immobile object by moving the hand-held scanner around the object, that is relative to a reference located at a fixed position on the ground (ground reference), while maintaining the field of view of the scanner oriented toward the object. Non-contact scanning can be done either actively or passively. Active scanning involves emitting a light signal or the like which is reflected on the surface to be scanned, whereas passive scanning does not control emission and can rather involve a process similar to detecting depth using human binocular vision. Hand-held scanners are typically surface scanners. Surface scanning is different from solid scanning in the sense that in surface scanning only information about the surface of the scanning subject is obtained, to form a shell model of the object, whereas in solid scanning, information about the subject (typically density), is obtained at various depths across it, such as in X-ray computed tomography for instance (CT).
[0003] With a hand-held scanner, for most situations, a single scan taken from a single position and orientation of the scanner in space will not produce a complete model of the subject. Multiple scans, even hundreds, from many different directions are usually required to obtain information about all sides of the subject. These scans each produce a depth image which have to be brought in a common reference system, a process that will be referred to herein as registration, to create a complete model inclusive of hidden faces in individual ones of the depth images. The depth images typically include at least a depth value for each pixel corresponding to the field of view of the scanner, so the depth images can be 3D images if the scanner has a 2D array of pixels. [0004] Although known hand-held scanner based scanning systems and methods were satisfactory to a certain degree, there remained room for improvement. In particular, there remained applications where the step of registration met difficulties. One example lies in instances where the scanning system "lost" the common reference system and then became unable to register later images with earlier images. This is a particular challenge when dealing with live subjects which can move or change its shape during scanning.
SUMMARY
[0005] It was found that at least in some human subject applications, precision and/or reliability can be improved by using an independent scanning module which is to be scanned together with the subject. Software can recognize the position and orientation of the scanning module in the images, and a common reference system can established for the subject based on the scanning module recognition. In this manner, the plurality of images of the subject can be registered in accordance with the scanning module-based common reference system. [0006] Henceforth, in accordance with one aspect, there is provided a method of forming a virtual model of a subject using at least a hand-held scanner and a scanning module, the method comprising : providing module reference data concerning the scanning module; immobilizing the subject relatively to the scanning module; using the hand-held scanner to obtain a plurality of depth images of the immobilized subject and module, the depth images being taken at different positions of the hand-held scanner relative to a ground reference; for each one of the plurality of depth images, determining a position and an orientation of the scanning module in the depth image using the module reference data, and establishing a common reference system for the subject using the determined position and orientation of the scanning module; forming the virtual model of the subject, including registering the plurality of depth images in the common reference system associated to the scanning module.
[0007] In accordance with another aspect, there is provided a method of forming a virtual model of a subject using at least a hand-held scanner and a scanning module, the method comprising : providing module reference data concerning the scanning module; immobilizing the subject relative to the scanning module; obtaining a plurality of depth images of the immobilized subject and module, the depth images being from corresponding different points of view relative to a ground reference; determining a position and an orientation of the scanning module in each one of the depth images using the module reference data; forming a virtual model of the subject, including registering the plurality of depth images using the determined position and orientation of the scanning module.
[0008] In accordance with another aspect, there is provided a system for forming a virtual model of a subject, the system comprising : a scanning module adapted to a type of the subject, for the subject to be immobilizable in abutment with the scanning module; a hand- held scanner to obtain a plurality of depth images of the immobilized subject and module, the depth images being taken at different positions of the hand-held scanner relative to a ground reference; module reference data concerning the scanning module; a software for determining a position and an orientation of the scanning module in each of the depth images using the module reference data, establishing a common reference system for the subject using the determined position and orientation of the scanning module; wherein the virtual model of the subject can be formed including registering the plurality of depth images in the common reference system associated to the scanning module.
[0009] Many further features and combinations thereof concerning the present improvements will appear to those skilled in the art following a reading of the instant disclosure.
DESCRIPTION OF THE FIGURES
[0010] In the figures,
[001 1] Fig. 1 is a flow chart of an example method for forming a virtual model of a subject;
[0012] Fig. 2 is block diagram of an example system for forming a virtual model of a subject;
[0013] Figs. 3A to 3C illustrate the forming of a virtual model of a human foot;
[0014] Fig. 4 is an oblique view showing a scanning module for a human head; [0015] Fig. 5 is an oblique view showing a scanning module for a human torso.
DETAILED DESCRIPTION
[0016] Referring to Fig. 1 , an example method includes immobilizing the subject to be scanned relative to a scanning module 1 10. The configuration of the scanning module will depend on the type of subject being scanned. Several examples of subject types and scanning modules are detailed below. Depth images of the combined subject and scanning module are then taken with a hand-held scanner 112, which will be referred to herein as scanning. The depth images typically include at least a depth value for each pixel corresponding to the field of view of the scanner, so the depth images are typically 3D images if the scanner has a 2D array of pixels. The depth images can optionally include further information for each pixel, such as color, brightness, etc. Typically, each one of the depth images only shows a portion of the subject and scanning module which is in the field of view of the hand-held scanner, so the hand-held scanner is moved relative to a ground reference in order to have depth images showing all sides of the subject which are desired to be included in the 3D model. Once these depth images are made available, they all typically include information on exposed surfaces of the subject and of the module. To form the model, the information about the different surfaces they include needs to be registered together in a common reference. In this example, the common reference is established with respect to the scanning module. More particularly, module reference data concerning the specific scanning module used can be made available 1 14. As will be detailed below, this can be achieved by scanning the scanning module alone beforehand, or alternately, by providing a satisfactory virtual model of the scanning module by other suitable means. A software can then recognize the position and orientation of the scanning module in the depth images and establish the common reference plane with respect to the scanning module 16. The same software, or another, can then be used to do the registration based on this common reference plane 118. Additional software work can then be done on the registered model to cure holes, correct triangulation errors, remove noise, etc. if desired, which can be done using subject reference data 120. Positioning features such as adhesive scanning targets can optionally be applied at specific physiological areas on the subject prior to scanning to later serve as additional subject reference data points if desired. [0017] Fig. 2 is a block diagram showing an example system to realize the method shown in Fig. 1. In this example, the system includes three main components: a hand-held scanner 210, a scanning module 220 and a software 230. The software 230 can be incorporated in a separate computer, for instance, or be incorporated in the hand-held scanner itself. The subject will be immobilized relative to the scanning module 220 with which it will be scanned by the hand-held scanner 210 and analysed by the software 230. Module reference data concerning the scanning module is provided to the software for the software 230 to be able to recognize the scanning module in the depth images from the hand-held scanner 210. Any satisfactory hand-held scanner 210 that outputs a triangulated representation of the subject can be used. The scanning module 220 can be adapted according to the basic technology for data acquisition and 3D positioning of the hand-held scanner selected.
[0018] The scanning module 220 can be said to have 3 main purposes: immobilization and stability of the subject (relative to the scanning module that is), making it possible to record a complete scan of the subject from all desired angles, and pre-align the subject. It's the pre-alignment functionality that is the key to the automation done by the software 230. It may be possible to pre-align the subject using the scanning module regardless of the handheld scanner used, but the strategy behind it may be slightly different from one technology to another. An example of a hand-held scanner which can be used is the ErgoSCAN™ scanner manufactured by Creaform Inc. This type of scanner can recognize rounded positioning targets of 5mm that can be affixed to the scanning module in the field of view of the handheld scanner. The observed pattern of those targets can be analysed by the scanner to determine the relative position and orientation of the hand-held scanner relative to the scanning module. The pattern of targets can be pre-recorded to constitute module reference data.
[0019] In an other embodiment, the shape and size of the scanning module itself may provide sufficient distinctive features for its relative position and orientation to be detectable by software based on the depth images taken without requiring the use of scanning targets.
[0020] In still an other embodiment, it is possible to use an electromagnetic field emitter housed in the scanning module and of which the exact disposition of the emitted electromagnetic field in the vicinity of the scanning module is known. Then, by using an electromagnetic field detector in the hand-held scanner, the relative position and orientation of the hand-held scanner relative to the scanning module can be determined for each of the depth images taken, and the common reference system established. In this case, the configuration of the electromagnetic field is made part of the module reference data which software can access to establish the common reference system.
[0021] Software can : pre-configure scanning parameters as a function of the type of subject, automatically perform post-treatment operations on the model, and detect features on the subject to correct its alignment and calculate a set of pre-defined measurements, for instance.
[0022] One step of the scanning process can consist in identifying the type of object, which can be said to provide subject reference data. The subject reference data can either be predefined in the software, or can be inputted via a user interface, for instance. In one embodiment, the subject reference data can be used to pre-configure the hand-held scanner to record that type of subject, which can include settings like resolution, laser power, camera shutter time, scanning volume size and location. Subject reference data can also include information on the basic geometry of the subject. Also, scanning targets can be used on particular physiological features of the subject to assist in later registration, alignment correction, or completion of the virtual model, in which case the subject reference data can include a definition of the location of such scanning targets.
[0023] For instance, if the pre-alignment of the subject relative to the scanning module is imperfect, the software can be used to recognize features of the known subject type using the subject reference data and can correct the alignment of the subject in a same way every time according to the subject's own features. Alternately, when comparing virtual images of the same object type, the subject reference data can assist in the relative alignment of the virtual images. With the subject aligned, it is possible to calculate a set of pre-defined measurements. Those measurements can be defined according to the subject type and in the context of the application in which the model is to be used. [0024] Having discussed the method and system generally, different specific application examples will now be detailed.
[0025] Fig. 3A shows a first embodiment of a system 10 where the subject 12 is a human foot. For this type of subject, an example of a scanning module 14 (better seen at Fig. 3B) can include a solid frame 16 with a central aperture which houses a foot-receiving transparent pane 20. This allows to immobilize the foot relative to the scanning module while simultaneously allowing scanning of the underside of the foot. In this particular example the scanning module 14 has two removable legs which receive the solid frame 16 and transparent pane 20 associate thereto at a convenient sloping angle with respect to the ground 24, for the foot placed thereon to be relatively comfortable in remaining immobile during the scanning process.
[0026] Referring back to Fig. 3A, the human foot subject 12 is shown placed in stable abutment against the foot-receiving transparent pane and is kept immobilized relative to the scanning module throughout the scanning process. The scanning process includes taking a plurality of depth images of the combined foot 12 and scanning module 14 with the handheld scanner 26. The depth images are taken from different locations and orientations as the hand-held scanner is moved manually by the hand of an operator relative to the ground 24. The hand-held scanner 26 is moved relative to a ground reference in a manner that depth images are obtained showing each portion of the exposed surface of the foot. The hand-held scanner 26 is also moved to the side of the scanning module opposite the leg to take depth images of the underside of the foot 12 across the transparent pane 20 of the scanning module 14. Because the hand-held scanner 26 is a surface scanner in this example, each depth image only includes information about the exposed surface of the subject which faces the hand-held scanner (i.e. that is exposed to the field of view of the hand-held scanner), and does not include information concerning the surface of the subject which faces away from the hand-held scanner 26.
[0027] Each of the depth images typically includes information concerning the distance of a first obstacle in the path of light for each pixel in a field of view of the hand-held scanner 26. To form a virtual model of the subject, an example 30 of which is shown in Fig. 3C, the information available in the different depth images needs to be registered in a common reference system. It will be noted here that the virtual model which is formed in this example is of a 3D shell type, i.e. it is a hollow shell model of the foot which combines the shape information of the external surface of the foot from the different depth images but which does not have information from the inside of the foot, such as bones or the like. Henceforth, it can be expected that the shell model be left with a hole 32 in the shin which corresponds to scan limit.
[0028] In this method, the common reference system 34 is established in relation to the scanning module 14, relative to which the subject 12 is immobilized during the scanning.
[0029] More particularly, module reference data is obtained prior to registration. The module reference data is of a nature such that the position and orientation of the hand-held scanner 26 relative to the scanning module 14 can be determined for each of the depth images. Since the subject is immobilized relative to the scanning module, the relative position and orientation with the subject also becomes known. Henceforth, establishing a common reference system 34 in relation to the scanning module corresponds to establishing a common reference system 34 in relation to the subject. For example, if Cartesian coordinates are used, an origin of the common reference system 34 for the subject can be positioned at a fixed location relative to the scanning module 14, and the axes can be oriented in predetermined orientations relative to the scanning module 14.
[0030] In this specific embodiment of a foot subject type, the X and Y axes can be oriented to correspond to a plane coinciding with the foot abutment surface 19 of the transparent pane 20, and the normal Z axis correspond to the height, for instance.
[0031] There are several ways by which the module reference data can establish the common reference system in relation with the scanning module.
[0032] In a first embodiment using an ErgoSCAN™ hand-held scanner, the common reference system can be achieved using a plurality of reflective targets 40 on the scanning module. For instance, circular reflective targets having a 5mm diameter with an adhesive backing can be applied by hand on the scanning module. If they are hand-applied, the reflective targets will be spaced from one another with a certain degree of randomness and so any combination of three or more of the scanning targets being detected in the field of view of the hand-held scanner will correspond to a unique combination of scanning target disposition allowing identify the position and orientation of the common reference system.
[0033] Henceforth, the scanning module can be scanned alone, to create a virtual model thereof in which its exact signature of scanning target disposition is included, and can include the common reference system (origin and axis orientation). This virtual model can form the module reference data. Henceforth, when the scanner is used to take depth images of the scanning module and of the subject which is immobilized thereon, as long as sufficient scanning targets are within the field of view, software can access the virtual model, compare the detected scanning targets to the ones in the virtual model, and automatically determine the position and orientation of the scanning module with respect to the position and orientation of the hand-held scanner.
[0034] This can be particularly helpful in cases of a discontinuity between scanning portions of the subject. [0035] For example, in a typical scanning of a human foot in accordance with the prior art, the images were registered by recognizing surfaces of the subject in individual 3D images and associating the images in a relative position and orientation in a manner to match the recognized common surfaces. However, passing the hand-held scanner from the exposed upper portion of the foot to the exposed under portion of the foot was particularly tricky due to the size of the exposed surface on the side of the foot, and often led to the inability of the software to register images of the underside of the foot with images of the upper side of the foot.
[0036] Using the scanning module, the images of the underside of the foot and the images of the upper side of the foot can both be independently referenced using the common reference which is based on the scanning module, and therefore be registered based on the common reference even if the event of a break in the images as the hand-held scanner passes on the side of the scanning module. The images taken from the under portion of the foot can thus be merged with the images taken from the upper portion of the foot in the common reference plane as long as the foot did not move relative to the scanning module between both sets of images.
[0037] Further to the use of module reference data, subject reference data can also be obtained prior to registration. The subject reference data can include information concerning a rough expected shape, position and orientation of the subject in relation to the scanning module which can help in creating the model of the subject. For instance, once the scan has been completed, a rough representation of the pre-aligned object on the scanning module can be obtained. This representation can be far from perfect and need post-treatment operations as it may contain holes, noise and/or triangulation errors. By knowing the subject type and its global orientation in space, it also becomes possible to automatically fill the holes, clean-up the noise and correct triangulation errors by using 3D post-treatment algorithms.
[0038] Subject reference data can also include information pertaining to positioning features used on the subject. For example, positioning features such as scanning targets can be affixed on the subject at key locations which can correspond to specific anatomical features. In the case of a foot, scanning targets can be positioned on the lateral and medial malleolus for instance. Such positioning features can help the software identifying those points for alignment and comparison applications (i.e. monitoring the evolution of the subject foot in time, or using the scan of the subject foot in relation to a shoe, boot, orthotic foot brace, or the like).
[0039] In the illustrated embodiment, the foot is simply abutted against the transparent pane, henceforth, a plane corresponding to the underside of the foot is determined in space relative to the common reference system 34, but the foot itself is free to be pivoted to a certain degree about the Z axis. In certain cases, it can be advantageous for post-treatment that the features of the foot have a specific alignment with the X or Y axis. This can be achieved to some extent by using additional abutment means on the scanning module to physically lock the pivoting of the foot relative to predetermined features (e.g. a protruding transparent wall abutment or the like, not illustrated), or it can be done virtually by a software. If using a software, subject reference data such as the type and general geometry considerations of the subject, or predefined position of subject scanning targets, can be relied upon.
[0040] For instance, the software can use a transformation matrix to move the foot to make its Brannock Axis coincide with the X Axis of the coordinate system. The origin can also be centered on the heel region. To identify the Brannock axis, 2 points are used : the medial extremum of the heel region and the medial extremum of the ball region. To find those points and the transformation matrix, the following algorithm can be used. "Vertices" can be 3D points defining triangles of the 3D model. In this algorithm, only the vertices 25 mm from the XY plane are used. (Z < 25). [0041] 1. Calculate the approximate length of the pre-aligned foot by using the X coordinate of the Vertices: Lenght = Maximum X - Minimum X.
[0042] 2. Define the heel and the ball region as follow: a. Heel Region: Minimum X < X < Minimum X + 0.25*FootLength. b. Ball Region: Minimum X + 0.65*Footl_ength < X < Maximum X. [0043] 3. Create a plane A parallel to the XZ plane that goes through the Minimum X vertex.
[0044] 4. For each vertex in the model, create a plane B parallel to the Z Axis that go through the minimum X vertex and the current vertex. a. Calculate the angle W between plane B and Plane A. b. Find the vertex V that minimise (right foot) or maximise (left foot) the angle W.
[0045] 5. Repeat Step 4 by starting with the new vertex V instead of minimum X vertex and find a new vertex V. It stops repeating when it finds a vertex V situated in the ball region.
[0046] 6. The Brannock axis is the 2 lasts vertex V found in step 5. [0047] 7. Calculate the rotation matrix that will bring the Brannock Axis parallel to the X Axis and rotate the model.
[0048] 8. Find the new minimum X vertex.
[0049] 9. Calculate the translation vector to bring the minimum X Vertex on the origin and translate the model.
[0050] 10. The foot is now aligned on the Brannock axis and centered on the heel. The transformation matrix is the combination of the rotation matrix and the translation vector.
[0051] Once the foot is aligned on its Brannock Axis, a set of predefined measurements can be calculated for applications such as orthotics and custom shoes. [0052] Referring now to Fig. 4, a second embodiment of a method to form a virtual model of a subject will now be described. In this second embodiment, the subject is a human head type. For instance, scanning the evolution of a baby's head can be very helpful in the context of a treatment for plagiocephaly correction. For this type of subject, an example of a scanning module can be in the form of a pair of glasses 300. In fact, although the head of a baby is subject to move much more than a adult foot resting on a planar surface is, using a scanning module in the form of a pair of glasses 300 allows the scanning module to nonetheless immobilize itself relative to the baby head (i.e. move collectively with the baby's head). More particularly, the scanning module can pre-align the head according to 3 specific feature locations : 1) the top of the nose (between the eyes), using a nose top abutment; 2) and 3) the top of left and right ears at the region where the ear connects to the head, using corresponding left and right ear abutments 312, 314.
[0053] Similarly to the foot subject type discussed above, the common coordinate system can thus be established in relation with the scanning module for all depth images to be correctly registered with one another into the 3D model of the head. [0054] Using subject reference data, the type of model can become known to the software which can automatically clean-up noise, correct triangulation errors, fill undesirable holes in the model shell, and finalize the model for it to become "watertight" and ready to be sent to a CNC machine or CAD software for instance.
[0055] To compare the evolution of the head, the 3 specific abutment points of the scanning module can be used to form a virtual a reference plane which forms a roughly circular intersection with the model all around. A center point can be calculated from the roughly circular intersection and the evolving models of the head which can be taken every month during treatment for instance, can all be centered on their center point to be compared from one another. This can be done by positioning the origin of the model at the center point. If using Cartesian coordinates, the X axis can face the front (nose), the Y axis can face the side (ear), and the Z axis can point upwardly to the top of the head, for instance.
[0056] In this context, since the head can already be considered pre-aligned on its main alignment features, given the presence of the three subject-receiving abutments, detection may not be required and a more simple algorithm can be used : [0057] 1. Calculate a curve defined by the intersection of the XY plane and the surface of the 3D model.
[0058] 2. Find the center of mass of this curve.
[0059] 3. Find the translation vector necessary to bring this center of mass to the Origin. [0060] 4. Translate the head.
[0061] 5. The head is now centered on its alignment features.
[0062] Measurements curves and statistics on the head geometry can now be calculated as they will be comparable from scan to scan, even if the head is growing.
[0063] If scanning targets are used on the scanning module, the scanning targets can be recorded in a file unique to a specific scanning module serial number. This virtual module model will be loaded as module reference data to be used in registering the different depth images of the head in the common reference system.
[0064] It can be understood from the above that since the glasses scanning module already fixes the relative immobilization of the head at three points, the complete orientation of the axes can be pre-set relative to the scanning module.
[0065] Referring now to Fig. 5, a third specific embodiment of a method to form a virtual model of a subject will now be described. In this third embodiment, the subject is a torso. In this embodiment, the scanning module is provided in the form of a belt 400, and more specifically in the form of a belt buckle 410 which is immobilized at a given location between the person's bellybutton and groin area by way of the belt strap 412 being wrapped around the person's waist. In this specific example, the scanning module reference data is related to the unique pattern of a plurality of scanning targets 414 positioned on the outer face of the buckle, which fixes a common reference system 416 relative to the buckle. Alternate embodiments can use the buckle's known geometry as the basis of the common reference system, without scanning targets, for instance. If Cartesian coordinates are used, the origin can be located at the buckle, the X axis can point forward, the Z axis can point upward, and the Y axis can point toward the left of the subject, for instance.
[0066] The subject type can be predefined or inputted as being a torso prior to scanning. Once the scan is completed, the 3D images can ±>e registered into a rough 3D model potentially having holes and noise. However, knowing the torso model type and its general alignment relative the buckle, the software can automatically fill the holes and finalize the model for it to become watertight, clean, free of triangulation errors, and ready to be sent to a CNC machine or other CAD software for instance.
[0067] If alignment of the virtual image needs to be done with a greater degree of precision than what can be achieved by the precision obtainable in the position of the buckle, additional precision can be obtained by using additional scanning targets on key physiological locations on the torso prior to scanning, for instance. Such additional scanning targets can be affixed on the sternum, coccyx, and 7th cervical vertebra to name one possible example. [0068] An example algorithm for the alignment of a torso on the middle axis can use a transformation matrix to move the torso so that its middle Axis coincides with the Z Axis of the coordinate system and to center the origin on this axis. To identify the middle axis, 2 points can be used: the center of the highest horizontal circumference curve and the center of the lowest horizontal circumference curve. To find those points and the transformation matrix, the following algorithm can be used:
[0069] 1. Find the highest and lowest point in Z on the model and calculate the highest and lowest circumference at ZMax - 20mm and ZMin + 20mm.
[0070] 2. Find the center of the ZMax and ZMin curves in the XY Plane. [0071] 3. Calculate the middle axis Vector from ZMax curve center point and ZMin curve center point.
[0072] 4. Calculate the rotation matrix that will bring the middle axis parallel to the Z Axis and rotate the model.
[0073] 5. Calculate the translation vector to bring the minimum ZMin center vertex on the origin and translate the model.
[0074] 6. The torso is now aligned on the middle axis and centered on ZMin Center vertex. The transformation matrix is the combination of the rotation matrix and the translation vector.
[0075] Once the torso is aligned on its Middle axis, a complete set of measurements can be calculated to help with the design of a brace or another kind of equipment, for instance.
[0076] In an embodiment where positioning features are affixed on the sternum, the coccyx and the 7th cervical vertebra as key anatomical locations, it is possible to align the torso according to theses points as well. This kind of alignment can be used for comparison with another torso, healthy or diseased, in order to calculate statistics and help the diagnostic. It can also be used to compare with a virtual model of a sport equipment or garment to evaluate the shape and size. [0077] The examples described above and illustrated are intended to be exemplary only. The scope is indicated by the appended claims.

Claims

WHAT IS CLAIMED IS:
1. A method of forming a virtual model of a subject using at least a hand-held scanner and a scanning module, the method comprising : providing module reference data concerning the scanning module; immobilizing the subject relative to the scanning module; obtaining a plurality of depth images of the immobilized subject and module, the depth images being from corresponding different points of view relative to a ground reference; determining a position and an orientation of the scanning module in each one of the depth images using the module reference data; forming the virtual model of the subject including registering the plurality of depth images using the determined position and orientation of the scanning module.
2. The method of claim 1 further comprising providing subject reference data; wherein the step of forming the virtual model of the subject further includes at least one of completing and correcting the alignment of the registered depth images using the subject reference data.
3. The method of claim 2 wherein the subject reference data includes a rough expected shape, position and orientation of the subject relative to the scanning module.
4. The method of claim 2 further comprising positioning at least one scanning target at a corresponding physiological feature location on the subject prior to said obtaining the plurality of depth images, wherein the subject reference data includes said physiological feature location of said at least one scanning target.
5. The method of claim 2 wherein the subject is a human foot and the scanning module includes a foot abutment plane provided in the form of a planar surface of a transparent pane, wherein the step of forming the virtual model further comprises : recognizing features of the foot in the model using the subject reference data.
6. The method of claim 5 wherein said determining a position and an orientation of the scanning module includes determining a position and orientation of the planar surface of the transparent pane, further comprising determining an orientation of the foot on the transparent pane using the recognized features of the foot.
7. The method of claim 5 further comprising : measuring one of said features of the foot.
8. The method of claim 2 wherein the subject is a human head and the scanning module includes a nose abutment, a left ear abutment, and a right ear abutment, further comprising : determining a position and orientation of the head based on the determined position and orientation of the scanning module.
9. The method of claim 2 wherein the subject is a human torso and the scanning module is securable around the waist thereof.
10. The method of claim 9 further comprising positioning at least one scanning target at a corresponding physiological feature location on the torso prior to said obtaining the plurality of depth images, and detecting the position of the at least one scanning target in the virtual model; further comprising determining an orientation of the torso using the detected position of the at least one scanning target.
11. The method of claim 1 wherein said obtaining is done using a hand held scanner.
12. The method of claim 1 1 wherein said hand-held scanner is an active surface scanner including at least an emitter and a detector, the model is a shell model, and the subject reference data includes at least one expected opening position and size in the shell model relative to a position and orientation of the scanning module in the common reference system.
13. The method of claim 1 wherein the scanning module has scanning targets on a surface thereof, and said module reference data includes position information of the scanning targets on the scanning module, wherein said determining a position and an orientation of the scanning module in the depth image includes identifying scanning targets in the depth image and associating the identified scanning targets to said scanning targets in the module reference data.
14. The method of claim 1 wherein the module reference data includes configuration information of the shape of the scanning module, wherein said determining a position and an orientation of the scanning module in the depth image includes associating a shape in the depth image to the configuration information in the module reference data.
15. The method of claim 1 wherein the scanning module includes an electromagnetic field emitter emitting an electromagnetic field in the vicinity of the scanning module, the hand-held scanner includes an electromagnetic field detector, and said module reference data includes configuration information of the electromagnetic field, wherein said determining a position and an orientation of the scanning module in the depth image includes comparing an electromagnetic signal detected by the electromagnetic field detector to the configuration information in the module reference data.
16. The method of claim 1 further comprising obtaining a virtual model of an other subject of the same type, and comparing the virtual model of the subject to the virtual model of the other subject of the same type.
17. The method of claim 1 further comprising obtaining a virtual model of a garment to be worn on the subject, and comparing the virtual model of the subject to the virtual model of the garment.
18. The method of claim 1 further comprising using the virtual model in the designing of an object to be worn on the subject. 9. A system for forming a virtual model of a subject, the system comprising : a scanning module having at least one subject-receiving abutment associated to a reference plane; a memory for storing module reference data of the scanning module, said module reference data including a location of the reference plane; a software application capable of accessing the module reference data, receiving a plurality of depth images, from a plurality of points of view, of the scanning module and of the subject immobilized relative to the scanning module, and operable to determine a position and an orientation of the reference plane in each of the depth images using the module reference data; and a software application operable to register the plurality of depth images using the determined position and orientation of the reference plane and to produce the virtual image of the subject based thereon.
20. The system of claim 19 further comprising : a memory for storing subject reference data; and a software for determining a position and an orientation of the subject in each depth image using the subject reference data;
21. The system of claim 19 wherein the subject is a human foot and the at least one subject-receiving abutment includes a flat surface of a transparent pane.
22. The system of claim 19 wherein the subject is a human head, the scanning module is in the form of a pair of glasses, and the at least one subject-receiving abutment includes a nose abutment, a left ear abutment, and a right ear abutment.
23. The system of claim 19 wherein the subject is a human torso, the scanning module is in the form of a belt, and the at least one subject-receiving abutment includes a strap attachable around the waist of the torso.
24. The system of claim 19 wherein the scanning module has scanning targets on a surface thereof, and said module reference data includes position information of the scanning targets on the scanning module.
25. The method of claim 19 wherein the scanning module includes an electromagnetic field emitter emitting an electromagnetic field in the vicinity of the scanning module, the hand-held scanner includes an electromagnetic field detector, and said module reference data includes configuration information of the electromagnetic field.
26. The method of claim 19 wherein the module reference data includes configuration information of the shape of the scanning module.
27. The method of claim 20 wherein the subject includes at least one scanning target on a physiological feature thereof, and the subject reference data includes information of the physiological feature having the scanning target.
28. The method of claim 19 further comprising the hand-held scanner to obtain the a plurality of depth images, the hand-held scanner being an active surface scanner including at least an emitter and a detector, and the model is a shell model.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015138593A1 (en) * 2014-03-11 2015-09-17 Ossur Hf Method for ordering custom prosthetic and orthopedic devices
EP2954798A1 (en) * 2014-06-11 2015-12-16 VITRONIC Dr.-Ing. Stein Bildverarbeitungssysteme GmbH Foot scanner
CN108846885A (en) * 2018-06-06 2018-11-20 广东您好科技有限公司 Model activation technology based on three-dimensional scanning
EP3435800B1 (en) 2016-08-10 2021-03-31 Lymphatech, Inc. Methods of generating compression garment measurement information for a patient body part or body area of interest and use thereof
WO2022038314A1 (en) 2020-08-20 2022-02-24 Taika3D Oy Biometric shape recognition
US11551419B2 (en) 2018-10-10 2023-01-10 Preferred Networks, Inc. Method of generating three-dimensional model, training data, machine learning model, and system

Families Citing this family (5)

* Cited by examiner, † Cited by third party
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CA2945139C (en) * 2014-04-09 2022-02-01 Bayer Consumer Care Ag Method, apparatus, and computer-readable medium for generating a set of recommended orthotic products
CN107292685A (en) * 2016-03-30 2017-10-24 深圳市祈飞科技有限公司 A kind of method of automatic recommendation size and the fitting cabinet system using this method
CN109470141B (en) * 2018-11-17 2021-03-16 先临三维科技股份有限公司 Scanning system and method, scanning platform, computer device and readable storage medium
CN110064200B (en) * 2019-04-25 2022-02-22 腾讯科技(深圳)有限公司 Object construction method and device based on virtual environment and readable storage medium
US20210106230A1 (en) * 2019-10-10 2021-04-15 Techmed 3D Inc. Module for scanning a foot, and associated method of use

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0750175A1 (en) * 1995-06-23 1996-12-27 KREON INDUSTRIE, Société Anonyme Acquisition and numerisation method for objects through a transparent wall and system for carrying out this method
US20070253004A1 (en) * 2003-12-22 2007-11-01 Fitracks Ltd. Foot Measuring Device
US20100134598A1 (en) * 2005-03-11 2010-06-03 St-Pierre Eric Hand-held self-referenced apparatus for three-dimensional scanning
US20110074930A1 (en) * 2005-03-11 2011-03-31 Hebert Patrick Auto-referenced sensing method for three-dimensional scanning
WO2011138741A1 (en) * 2010-05-04 2011-11-10 Creaform Inc. Object inspection with referenced volumetric analysis sensor

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5886775A (en) * 1997-03-12 1999-03-23 M+Ind Noncontact digitizing imaging system
US6262738B1 (en) * 1998-12-04 2001-07-17 Sarah F. F. Gibson Method for estimating volumetric distance maps from 2D depth images
US7068825B2 (en) * 1999-03-08 2006-06-27 Orametrix, Inc. Scanning system and calibration method for capturing precise three-dimensional information of objects
US7577583B2 (en) * 2001-08-09 2009-08-18 Acushnet Company Computerized article customization system and method for use thereof
DE10309788A1 (en) * 2003-03-05 2004-09-16 Corpus.E Ag Simple optical detection of the spatial shape of bodies and body parts with mechanically inaccurately positioned imagers
DE10328523B4 (en) 2003-06-24 2009-05-07 Schreck-Mieves Gmbh Method and measuring device for non-contact measurement of a contour of a surface
US20060241445A1 (en) * 2005-04-26 2006-10-26 Altmann Andres C Three-dimensional cardial imaging using ultrasound contour reconstruction
AP2905A (en) * 2005-06-28 2014-05-31 Scanalyse Pty Ltd A system and method for measuring and mapping a surface relative to a reference
US8035637B2 (en) * 2006-01-20 2011-10-11 3M Innovative Properties Company Three-dimensional scan recovery
US7256899B1 (en) * 2006-10-04 2007-08-14 Ivan Faul Wireless methods and systems for three-dimensional non-contact shape sensing
WO2008070537A2 (en) * 2006-12-01 2008-06-12 Ingenious Targeting Laboratory, Inc. System and methods of making custom footwear
US20090067706A1 (en) 2007-09-12 2009-03-12 Artec Ventures System and Method for Multiframe Surface Measurement of the Shape of Objects
GB2458927B (en) 2008-04-02 2012-11-14 Eykona Technologies Ltd 3D Imaging system
US8986234B2 (en) * 2008-11-09 2015-03-24 3D Systems, Inc Custom braces, casts and devices having fenestrations and methods for designing and fabricating
CN101862220A (en) * 2009-04-15 2010-10-20 中国医学科学院北京协和医院 Fixing and navigating surgery system in vertebral pedicle based on structure light image and method thereof

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0750175A1 (en) * 1995-06-23 1996-12-27 KREON INDUSTRIE, Société Anonyme Acquisition and numerisation method for objects through a transparent wall and system for carrying out this method
US20070253004A1 (en) * 2003-12-22 2007-11-01 Fitracks Ltd. Foot Measuring Device
US20100134598A1 (en) * 2005-03-11 2010-06-03 St-Pierre Eric Hand-held self-referenced apparatus for three-dimensional scanning
US20110074930A1 (en) * 2005-03-11 2011-03-31 Hebert Patrick Auto-referenced sensing method for three-dimensional scanning
WO2011138741A1 (en) * 2010-05-04 2011-11-10 Creaform Inc. Object inspection with referenced volumetric analysis sensor

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP2779898A4 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015138593A1 (en) * 2014-03-11 2015-09-17 Ossur Hf Method for ordering custom prosthetic and orthopedic devices
US10740857B2 (en) 2014-03-11 2020-08-11 Ossur Hf Method and system for ordering custom prosthetic and orthopedic devices
EP2954798A1 (en) * 2014-06-11 2015-12-16 VITRONIC Dr.-Ing. Stein Bildverarbeitungssysteme GmbH Foot scanner
US9603552B2 (en) 2014-06-11 2017-03-28 Vitronic Dr.-Ing. Stein Bildverabeitungssysteme Gmbh Measuring method, pedestal and measuring system for determining biometric data of human feet
EP3435800B1 (en) 2016-08-10 2021-03-31 Lymphatech, Inc. Methods of generating compression garment measurement information for a patient body part or body area of interest and use thereof
CN108846885A (en) * 2018-06-06 2018-11-20 广东您好科技有限公司 Model activation technology based on three-dimensional scanning
US11551419B2 (en) 2018-10-10 2023-01-10 Preferred Networks, Inc. Method of generating three-dimensional model, training data, machine learning model, and system
US12020376B2 (en) 2018-10-10 2024-06-25 Preferred Networks, Inc. Method of generating three-dimensional model, training data, machine learning model, and system
WO2022038314A1 (en) 2020-08-20 2022-02-24 Taika3D Oy Biometric shape recognition

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US9691176B2 (en) 2017-06-27
CN104080401B (en) 2016-08-24
US20140375629A1 (en) 2014-12-25
CN104080401A (en) 2014-10-01
CA2836201C (en) 2014-07-29
CA2836201A1 (en) 2013-05-23

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