초록 ▼

A method for optically measuring an object by means of an optical recording apparatus includes a triangulation method. A first shutter means is used to produce a first pattern and to project the first pattern as a first projection beam onto the object to be measured. At least one further shutter mea

A method for optically measuring an object by means of an optical recording apparatus includes a triangulation method. A first shutter means is used to produce a first pattern and to project the first pattern as a first projection beam onto the object to be measured. At least one further shutter means is used to produce a further pattern and to project the further pattern as a further projection beam onto the object to be measured. The first pattern and the further pattern are passed back from the object as observation beams and are recorded by at least one recording means in order to obtain a three-dimensional data record of the object. The projected first pattern and the further pattern are recorded at the same time in at least one triangulation recording using the at least one recording means.

대표청구항 ▼

1. A method for optically measuring a three-dimensional geometry of an object using a triangulation method of a dental intraoral camera including at least one light source, at least one diaphragm unit for producing structured patterns, and at least one recording unit, the method comprising: producin

1. A method for optically measuring a three-dimensional geometry of an object using a triangulation method of a dental intraoral camera including at least one light source, at least one diaphragm unit for producing structured patterns, and at least one recording unit, the method comprising: producing a first pattern by a first diaphragm unit and projecting the first pattern onto the object to be measured as a first projected beam; andproducing a further pattern by at least one further diaphragm unit and projecting the further pattern onto the object to be measured as a further projected beam,wherein said first pattern and said further pattern are back-projected from said object as monitoring beams;imaging said monitoring beams, by the at least one recording unit; and acquiring a three-dimensional (3D) data set of said object; simultaneously imaging said projected first pattern and said further pattern; andstoring at least one triangulation image using said at least one recording unit. 2. The method as defined in claim 1, wherein said first pattern and said further pattern are projected onto said object as projected beams in a common direction of projection. 3. The method as defined in claim 1, wherein said monitoring beams of said patterns are imaged from at least two monitoring directions, the first monitoring direction being offset from the other monitoring direction by an angle. 4. The method as defined in claim 3, wherein said monitoring beams of said patterns are imaged by means of a plurality of recording units from different monitoring directions to give a plurality of individual triangulation images. 5. The method as defined in claim 1, wherein said projected beams of said patterns are projected onto said object from at least two different directions of projection and that said monitoring beams of said patterns are imaged from a single monitoring direction, said first direction of projection being offset from said other direction of projection by an angle. 6. The method as defined in claim 1, wherein individual patterns are coded for differentiation of the individual patterns and for identification of the individual patterns in the at least one triangulation image. 7. The method as defined in claim 6, wherein said individual patterns are color-coded by providing said first pattern with a first wavelength and said further pattern with a different wavelength, at least one color sensor being included with one of said at least one recording units, a range of measurement of the at least one color sensor covering wavelengths of said patterns, and wherein differently colored patterns are analyzed separately. 8. The method as defined in claim 6, wherein the individual patterns are provided with a binary gray-scale code and the individual patterns in the at least one triangulation image are identified with reference to said gray-scale code. 9. The method as defined in claim 1, wherein said projected beams of said patterns are projected onto said object from at least two different directions of projection and that said monitoring beams of said patterns are imaged from at least two different monitoring directions. 10. The method as defined in claim 5, wherein a first direction of projection of said first pattern is at an angle of more than 10° to a further direction of projection of said further pattern. 11. The method as defined in claim 3, wherein said first monitoring direction is at an angle of more than 10° to a further monitoring direction, and analyzing of the at least one triangulation image is effected by a stripe projection method based on the triangulation method. 12. The method as defined in claim 3, wherein, in addition to said triangulation images, supplementary images based on a principle of photogrammetry are created of said object from different monitoring directions and are taken into account in analyzing of said triangulation images. 13. The method as defined in claim 12, wherein both the analyzing of said triangulation images on a principle of stripe projection and the analyzing of said supplementary images on the principle of photogrammetry are effected by an evaluation unit. 14. The method as defined in claim 1, wherein the at least one recording unit include at least one CCD sensor. 15. The method as defined in claim 1, wherein an evaluation unit generates 3D data of each of a plurality of imaged regions of said object in a plurality of individual triangulation images and combines the 3D data generated to form the 3D data set of said object. 16. The method as defined in claim 15, wherein a display unit graphically displays the 3D data set of said object as a graphical 3D model. 17. The method as defined in claim 1, wherein, when use is made of a stripe projection method, individual patterns are formed by a plurality of parallel stripes. 18. The method as defined in claim 3, wherein at least two triangulation images created from different monitoring directions are analyzed, the at least two triangulation images being superimposed with reference to a plurality of matching regions, and an analytical procedure used for detecting said matching regions is an Iterative Closest Point (ICP) method or a topology-matching method. 19. The method as defined in claim 1, wherein 3D data are acquired exclusively by the analyzing of said patterns of the at least one triangulation image, individual stripes are identified by counting said stripes or by a method involving a binary code. 20. The method as defined in claim 1, wherein 3D data of each of the at least one triangulation image are generated by analyzing at least four phase-varying patterns in the at least one triangulation image. 21. The method as defined in claim 1, wherein projection means concurrently projects at least two patterns onto said object. 22. The method as defined in claim 1, wherein, in a first step, a first group of patterns is simultaneously imaged to give at least one first triangulation image using the at least one recording unit, and, in another step following a fixed time interval, a further group of patterns is simultaneously imaged to give at least one further triangulation image, a position of said dental intraoral camera relative to said object to be scanned being changed during said time interval. 23. The method as defined in claim 22, wherein, from said first group of patterns in said at least one first triangulation image, a first 3D data set of said object is obtained and, from the further group of patterns in said at least one further triangulation image, a further 3D data set of said object is obtained, and then said first 3D data set and said further 3D data set are combined to form a common 3D image of said object.