Abstract: Disclosed is a data processing method including obtaining deviation information indicating a degree of deviation of target data from reference data, and displaying, on the target data, information corresponding to the deviation information, wherein the obtaining of the deviation information includes obtaining the deviation information by comparing data other than data that deteriorates reliability of the deviation information from among the target data with the reference data.

Abstract: Disclosed are a 3D scanning apparatus and a 3D scanning method. The 3D scanning apparatus includes a turntable which is rotatable at 360 degrees about a rotating shaft so that the target object is rotated; a 3D scanner configured to obtain 3D scan data of the target object by scanning the target object on the turntable; and a controller configured to control a rotating operation of the turntable and a scanning operation of the 3D scanner so as to rotate the turntable 360 at degrees, operate the 3D scanner to scan the target object at each of rotation angles of the turntable, and additionally measure the non-measured portion by distinguishing a non-measured portion of the target object.

Abstract: Disclosed are a 3D scanning apparatus and a 3D scanning method. The 3D scanning apparatus includes a turntable which is rotatable at 360 degrees about a rotating shaft so that the target object is rotated; a 3D scanner configured to obtain 3D scan data of the target object by scanning the target object on the turntable; and a controller configured to control a rotating operation of the turntable and a scanning operation of the 3D scanner so as to rotate the turntable 360 at degrees, operate the 3D scanner to scan the target object at each of rotation angles of the turntable, and additionally measure the non-measured portion by distinguishing a non-measured portion of the target object.

Abstract: Provided is an apparatus and method of automatically extracting a sweep/extrude/revolve feature shape from atypical digital data, including a scanner which scans a 3D object so as to provide 3D scan data indicating a shape of the 3D object, and a computing device which extracts a feature shape from a collection of the 3D scan data collected from the scanner, wherein the computing device includes an extracting means for extracting multiple points from the collection of the 3D scan data and producing initial section from the extracted multiple points; an aligning means for aligning the sections so that shapes of the sections are coincided with each other; a compensating means for forming an initial path, generating an initial profile and then compensating the path; and a modeling means for performing a modeling function using the compensated path and profile.

Abstract: A method for detecting two dimensional sketch data from source model data for three dimensional reverse modeling. The method includes the steps of detecting optional model data, establishing X-axis, Y-axis and Z-axis of the model data depending upon a reference coordinate system information inputted from a user, and setting a work plane for detecting two dimensional section data of the model data; projecting, on the work plane, two dimensional section data to be detected from the model data or polylines detected by designating a detection position; detecting two dimensional projected section data of the model data projected on the work plane, and dividing the two dimensional projected section data into feature segments depending upon a curvature distribution; and establishing a constraint and numerical information in accordance with connection of the divided feature segments of the two dimensional projected section data, and creating two dimensional sketch data.

Abstract: A method for detecting two dimensional sketch data from source model data for three dimensional reverse modeling. The method includes the steps of detecting optional model data, establishing X-axis, Y-axis and Z-axis of the model data depending upon a reference coordinate system information inputted from a user, and setting a work plane for detecting two dimensional section data of the model data; projecting, on the work plane, two dimensional section data to be detected from the model data or polylines detected by designating a detection position; detecting two dimensional projected section data of the model data projected on the work plane, and dividing the two dimensional projected section data into feature segments depending upon a curvature distribution; and establishing a constraint and numerical information in accordance with connection of the divided feature segments of the two dimensional projected section data, and creating two dimensional sketch data.

Abstract: A method for detecting two dimensional sketch data from source model data for three dimensional reverse modeling. The method includes the steps of detecting optional model data, establishing X-axis, Y-axis and Z-axis of the model data depending upon a reference coordinate system information inputted from a user, and setting a work plane for detecting two dimensional section data of the model data; projecting, on the work plane, two dimensional section data to be detected from the model data or polylines detected by designating a detection position; detecting two dimensional projected section data of the model data projected on the work plane, and dividing the two dimensional projected section data into feature segments depending upon a curvature distribution; and establishing a constraint and numerical information in accordance with connection of the divided feature segments of the two dimensional projected section data, and creating two dimensional sketch data.