An automatic 3D garment construction is provided using steps for: providing a plurality of panels of a garment so as to be processed in an information processing device, wherein each of the plurality of panels comprises seam lines; positioning the plurality of panels at corresponding locations around a virtual body provided in the information processing device; finding matching seam lines for the plurality of panels and creating seams; and producing the garment in which the plurality of panels are positioned, seamed, and draped on the virtual body. The step for positioning may comprise a step for panel tagging, a step for seam line tagging, and a step for panel packing, in which related panels are grouped and packed, such that relative positions are fixed among the packed panels, and the packed panels move as a group.

An automatic 3D garment construction is provided using steps for: providing a plurality of panels of a garment so as to be processed in an information processing device, wherein each of the plurality of panels comprises seam lines; positioning the plurality of panels at corresponding locations around a virtual body provided in the information processing device; finding matching seam lines for the plurality of panels and creating seams; and producing the garment in which the plurality of panels are positioned, seamed, and draped on the virtual body. The step for positioning may comprise a step for panel tagging, a step for seam line tagging, and a step for panel packing, in which related panels are grouped and packed, such that relative positions are fixed among the packed panels, and the packed panels move as a group.

Embodiments of a shape measurement system and related methods are disclosed. In some embodiments, the system places a two-dimensional initial pattern, which can be implemented as a standalone molding or can be attached to a light source or printed on an outfit, onto a surface of a three-dimensional object. The system captures a transformed version of the initial pattern in two dimensions that is distorted due to the varying depth of the surface. The system then analyzes the transformed pattern and derives three-dimensional information regarding the target object. The analysis, which can incorporate a calibration process, can rely on the projection nature of the light source, the isomorphism/non-isomorphism of the initial pattern, and other factors.

A fully fashion knitwear made by using a method for generation of contour fit three-dimensional (3D) fully fashion knitwear pattern based on 3D body data of an individual. The method comprises the following steps: digitizing an individual to create a 3D body data cloud; automatically recognizing body landmarks; extracting the body measurements; calculating the garment pattern block of the digitized surface of the individual according to the extracted body measurements including geodesic (minimal distance) measurements; transforming the garment block to 3D weft knitwear pattern by introducing horizontal and/or vertical darts; and translating the modified knitwear pattern to knitting diagrams and/or instructions, which can then be transferred manually to knitwear CAD system to control the automatic knitting machine to knit the required knitwear.

A fully fashion knitwear made by using a method for generation of contour fit three-dimensional (3D) fully fashion knitwear pattern based on 3D body data of an individual. The method comprises the following steps: digitizing an individual to create a 3D body data cloud; automatically recognizing body landmarks; extracting the body measurements; calculating the garment pattern block of the digitized surface of the individual according to the extracted body measurements including geodesic (minimal distance) measurements; transforming the garment block to 3D weft knitwear pattern by introducing horizontal and/or vertical darts; and translating the modified knitwear pattern to knitting diagrams and/or instructions, which can then be transferred manually to knitwear CAD system to control the automatic knitting machine to knit the required knitwear.

Embodiments of a shape measurement system and related methods are disclosed. In some embodiments, the system places a two-dimensional initial pattern, which can be implemented as a standalone molding or can be attached to a light source or printed on an outfit, onto a surface of a three-dimensional object. The system captures a transformed version of the initial pattern in two dimensions that is distorted due to the varying depth of the surface. The system then analyzes the transformed pattern and derives three-dimensional information regarding the target object. The analysis, which can incorporate a calibration process, can rely on the projection nature of the light source, the isomorphism/non-isomorphism of the initial pattern, and other factors.

Embodiments of a shape measurement system and related methods are disclosed. In some embodiments, the system places a two-dimensional initial pattern, which can be implemented as a standalone molding or can be attached to a light source or printed on an outfit, onto a surface of a three-dimensional object. The system captures a transformed version of the initial pattern in two dimensions that is distorted due to the varying depth of the surface. The system then analyzes the transformed pattern and derives three-dimensional information regarding the target object. The analysis, which can incorporate a calibration process, can rely on the projection nature of the light source, the isomorphism/non-isomorphism of the initial pattern, and other factors.

An automatic 3D garment construction is provided using steps for: providing a plurality of panels of a garment so as to be processed in an information processing device, wherein each of the plurality of panels comprises seam lines; positioning the plurality of panels at corresponding locations around a virtual body provided in the information processing device; finding matching seam lines for the plurality of panels and creating seams; and producing the garment in which the plurality of panels are positioned, seamed, and draped on the virtual body. The step for positioning may comprise a step for panel tagging, a step for seam line tagging, and a step for panel packing, in which related panels are grouped and packed, such that relative positions are fixed among the packed panels, and the packed panels move as a group.

A custom-fitted protective sports equipment and a method of making the same can comprise, at a first location, obtaining head data for a customer's head comprising a length, a width, and at least one head contour. With at least one processor, generating a computerized three-dimensional (3D) headform matching the customer's head length, width, and head contour from the head data. The 3D headform can be compared to a safety standard. At a second location different from the first location, the custom-fitted protective sports equipment is formed, wherein the custom-fitted helmet satisfies the safety standard and comprises an inner surface comprising a topography that conforms to the length, width, and at least one contour of the customer's head.

A custom-fitted protective sports equipment and a method of making the same can comprise, at a first location, obtaining head data for a customer's head comprising a length, a width, and at least one head contour. With at least one processor, generating a computerized three-dimensional (3D) headform matching the customer's head length, width, and head contour from the head data. The 3D headform can be compared to a safety standard. At a second location different from the first location, the custom-fitted protective sports equipment is formed, wherein the custom-fitted helmet satisfies the safety standard and comprises an inner surface comprising a topography that conforms to the length, width, and at least one contour of the customer's head.