Classifications

• • 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
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T19/00—Manipulating 3D models or images for computer graphics
  • G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2210/00—Indexing scheme for image generation or computer graphics
  • G06T2210/16—Cloth
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
  • G06T2219/20—Indexing scheme for editing of 3D models
  • G06T2219/2021—Shape modification

Definitions

• the present invention relates to a device and method for simulating or predicting redistribution of the volume of a human body due to cutaneous pressure exerted by a garment worn by the human.
• Measuring and modeling the body shape of a person can be desirable for many reasons.
• the field of measuring and modeling a person's body for the ready-to-wear industry is increasingly popular. Methods have been presented that aims at predicting what garment fits a certain body, in terms of tailor's pattern, size etc.
• WO0101354 shows a method and apparatus for creating computer graphical representations of a person in different poses, and how they can be used to display a variety of different garments on a model individual, and further how a garment alters the silhouette and appearance of a model individual.
• images of the persons various limbs are obtained. Said images, plus the person's weight are applied to a stored generic model avatar which has been created from knowledge of how an unclothed generic person varies with weight.
• WO0101354 discloses a garment processing system that can model how a garment alters the shape and appearance of the wearer's silhouette.
• WO0101354 refers to providers of 3D laser scanning and discards the use of them, claiming it can only obtain data indicative of the surface of an individual in a single pose. Instead WO0101354 relies on mapping photo data onto weight adjusted generic avatars, which means that the less "generic" the actual persons body shape is, the less accurate the result will be.
• US5530652 assigned to Strauss & Co discloses a system that can be used to measure a person. A person stands on a rotating platform while measurements are taken.
• US5530652 suggests that a laser imaging system may be used, but the preferred embodiment comprises a CCD camera.
• the camera captures images at different predetermined angles of rotation, e.g. at every ten or twenty degrees.
• wire-frame image that is, a 2D image of how a 3D model of the person would look.
• a similar procedure is performed on pants. Air-inflated, the pants are being rotated, images are captured and a wire frame is produced. The wire-frames may be matched against each other to determine the best pattern of a pair of pants, such as jeans, for this customer.
• US2009137894 aims at solving the problem of finding a bra with a proper fit.
• a woman sits in a large transparent tank, high enough to allow her full torso.
• the tank is filled with salt water of salinity adjusted according to the woman's BMI (Body Mass
• a scanner referred to as a 3D scanner, scans the woman's upper torso while moving in circles along rails on the outside of the large tank. The scanning data is used to calculate size, volume and location of each breast and the data is used to select a properly fitting bra which holds and supports the breasts in the position they were when scanned.
• the device and method according to US2009137894 owns several severe drawbacks.
• the object of the present invention is to obviate at least some of the above disadvantages and provide improved methods, apparatuses and computer media products avoiding the above mentioned drawbacks.
• a further objective is to enable to take into account a garments tendency to yield to stress over time, so that it is possible to simulate and predict how the shape of a body looks when wearing a well-worn garment. It is further an objective to offer accurate real-time predictions of how a body wearing a garment changes shape as the body takes various postures. It is a further objective to offer devices and methods that can do all the above quickly, conveniently, hygienically and in a way that is not humiliating.
• a first aspect of the invention is a method for simulating or predicting redistribution of the volume of a human body due to cutaneous pressure exerted by a garment worn by the human.
• the method comprises the steps of capturing real-time 3D range data from at least a portion of the body to be covered by the garment with a TOF sensor; modeling a before-avatar of the captured portion based on the results of the TOF range data; simulating volume redistribution by generating an after-avatar as a function of the before-avatar and the garment's tensile stress properties exerted on the body; and rendering a simulated image of how the body would appear with the garment worn.
• the method comprises the further step of applying gesture control in order to predict the body's freedom of movement in the garment.
• the tensile stress properties of the garment comprise both short-term elastic and long-term plastic properties.
• a second aspect of the invention is a device adapted and configured to perform the method of the first aspect of the invention.
• the device for simulating or predicting redistribution of the volume of a human body due to cutaneous pressure exerted by a garment worn by the human comprises a TOF sensor, a processing unit adapted and configured to receive range data from the TOF sensor, use the range data to model avatars and to simulate the effects of garment pressure, a memory unit, an input/output unit comprising a rendering device adapted and configured to render the results of simulations in 2D or in 3D.
• the device is further adapted and configured to capture realtime 3D range data from at least a portion of the body to be covered by the garment with a TOF sensor; to model a before-avatar of the captured portion based on the results of the TOF range data; to simulate volume redistribution by generating an after-avatar as a function of the before-avatar and the garment's tensile stress properties exerted on the body; and to render a simulated image of how the body would appear with the garment worn.
• the tensile stress properties of the garment comprise both short-term elastic and long-term plastic properties.
• the memory unit is further adapted and configured to comprise a garment information database
• the rendering device is adapted and configured to retrieve garment information from the database and render it, thereby enabling an operator of the device to select a set of garments comprising at least one garment as input to simulation by the processing unit.
• the device is further adapted and configured to apply gesture control in order to predict the body's freedom of movement in the garment.
• a third aspect of the present invention is a computer program product comprising program code means stored on a computer readable medium for performing the method of the first aspect of the present invention when said product is run on a computer.
• Figure 1 is a schematic view of a device according to an embodiment of the present invention.
• Figure 2 is a flow chart illustrating the method steps of an embodiment of the present invention.
• US5530652 fails to identify a need to take the body shaping properties into account. Using the US5530652 device will not help a person find tight jeans that will fit like the proverbial glove in time, or a person who is looking for a pair of jeans that will flatten the tummy, or mould a J-Lo butt.
• FIG 1 shows a device 100 for simulating or predicting redistribution of the volume of a human body 10 due to cutaneous pressure exerted by a garment 20 worn by the human.
• the device 100 comprises a TOF sensor 110, a processing unit 120, a memory unit 130, and an input/output (IO) unit 140 comprising a rendering device 150.
• IO input/output
• the TOF sensor 110 comprises an illumination unit, and a sensor arrangement comprising a pixel sensor plane.
• the illumination unit is adapted and configured to emit a detection signal comprising a certain wavelength band, with a certain modulation scheme.
• Each sensor pixel in the pixel sensor plane is adapted to receive the reflected signal.
• the sensor arrangement is adapted and configured to simultaneously convert variations in the scattered, or reflected, signal into a snapshot image frame comprising range information using properties of the signal as reference.
• the processing unit 120 is adapted and configured to receive instant range data from the TOF sensor, use the range data to model avatars and to simulate the effects of garment pressure.
• the processing unit 120 is connected to a memory unit 130, adapted and configured for storing predefined data, as well as intermediate storing and storing of final results.
• the memory unit may further comprise a garment information database
• Tensile stress properties of garments comprising both short-term elastic and long-term plastic properties may be stored in the database 135.
• the IO unit 140 is adapted and configured to interact with a human operator 30 of the device 100, and comprises a rendering device 150 adapted and configured to render the results of processing unit simulations in 2D or in 3D, such as holographic rendering.
• the rendering device may also comprise CNC type automatic mode milling functionality or other prototyping machines that are able to build hardware models.
• the TOF unit Due to the TOF unit's snap-shot character, no time-consuming scanning or bulky support rails are needed. With appropriate data and software, one TOF unit is enough to generate a digital model. However, in certain embodiments, more than one TOF unit is comprised, in order to additionally enhance the accuracy of the simulations. Because the TOF unit capturing is instant, and because the TOF unit is significantly smaller that e.g. scanning systems comprising moveable parts, there is no need to confine the client to a dedicated area during the process. Therefore, the system can be made compact, inconspicuous and easy to move between different premises.
• figure 2 In relation to figure 2 and also figure 1 is described a method for simulating or predicting redistribution of the volume of a human body 10 due to cutaneous pressure exerted by a garment 20 worn by the human to whom the body belongs.
• the method comprises the steps accounted for below.
• a capturing step 220 real-time 3D range data is being captured by the TOF sensor 110, from at least a portion of the body 10.
• more than one portion of the body 10 may be 3D captured sequentially with the same 3D imaging unit.
• Other embodiments comprise more than one 3D imaging unit, thereby allowing the system to receive simultaneously range information through reflected signals from all over the body 10. Due to fringe effects, such as bulging of body tissue along the hems of a tight garment, certain embodiments capture a portion of the body large enough to comprise these fringe areas as well, and not just the area covered by the garment 20.
• a modeling step 240 the processing unit 120 is modeling a before-avatar of the captured portion based on the results of the TOF range data.
• volume redistribution is simulated by generating an after-avatar as a function of the before-avatar and the garment's 20 tensile stress properties exerted on the body 10.
• Generic information on how different parts of a human body react to cutaneous pressure may be pre-stored in the memory unit 130, and applied to the surface of the before-avatar.
• elasticity profile is defined as a function describing resistance to cutaneous pressure in any relevant point of the surface of a person's body. Based on relative body measurements retrieved from the before-avatar, such as e.g. hight/hipmeasure ratio and joint positions, a person's individual elasticity profile can be relatively accurately determined, without
• the after-avatar is further generated as a function of tensile stress properties of a specified garment.
• the tensile stress properties of a garment decides to what extent a garment will fold, drape, stretch, or bulge under stretch among other things. It may also decide what tension rips the fabric or the seams, as well as where it rips. Further the tensile stress properties of a garment may comprise both short-term elastic and long- term plastic properties. This is advantageous both because it is possible to detect and avoid garments whose visual appearance will deteriorate, and because it is possible to se exactly how a pair of un- washed unworn jeans will fit and look when they are properly broken in.
• a simulated image 40 is rendered of how the body 10 would appear with the garment 20 worn.
• the simulated image may be a wire frame image created from the after-avatar.
• the simulation step 260 may employ a default garment pre-stored in the memory unit 130.
• the client may select a garment 20 for simulation. This may entail pointing at one of many garments rendered on a screen comprised in the I/O unit.
• the client may also choose to select a set of garments for simulation. Every garment is associated with its specific tensile stress properties.
• the step 260 of simulating volume redistribution is then being repeated for every garment comprised in a set of garments selected, by default or by input. Several after avatars may then be generated, and several images 40' may be rendered.
• the method comprises the step of receiving input specifying a target-avatar.
• the client may be offered to select a desired body shape from suggested body shapes rendered on a display.
• the rendered body shapes may be rendered based on what is possible considering the before-avatar.
• Each of these body shapes may be associated with a target-avatar.
• each after-avatar generated during simulation may be stored intermediately in the storage.
• after-avatars are compared one by one with the target-avatar. The after-avatar that deviates the least from the target avatar is selected.
• the rendering step 280 may comprise rendering an image 40' of each generated after-avatar. If an after-avatar is selected, the rendering step may comprise rendering an image of the selected after-avatar.
• the output may indicate what garment has properties such that the shape of the selected after-avatar may be attained.
• the method comprises the further step of applying gesture control, in order to predict the body's 10 freedom of movement in the garment 20. For instance, this enables predicting whether a specified garment 20 may break as the human body 10 takes a certain posture. It is possible to simulate the outcome of a set of predefined common postures, such as for instance sitting down, bending over to reach the floor, climbing a high step, lifting arms over head.
• the 3D image units are capable of rendering real-time 3D video data of the client moving about, this to enable the client to see him or herself virtually moving and gesturing in a certain outfit.

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• Engineering & Computer Science (AREA)
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• Theoretical Computer Science (AREA)
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• Architecture (AREA)
• Computer Hardware Design (AREA)
• General Engineering & Computer Science (AREA)
• Processing Or Creating Images (AREA)

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• 2011
  • 2011-09-14 WO PCT/SE2011/051105 patent/WO2012036620A1/en active Application Filing
  • 2011-09-14 EP EP11825534.8A patent/EP2617015A4/de not_active Withdrawn

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