BUDAK, Igor ;SOKOVIĆ, Mirko ;KOPAČ, Janez ;HODOLIČ, Janko . Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 55, n.12, p. 755-765, october 2017. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/point-data-pre-processing-based-on-fuzzy-logic-for-reverse-engineering-modelling/>. Date accessed: 23 dec. 2024. doi:http://dx.doi.org/.
Budak, I., Soković, M., Kopač, J., & Hodolič, J. (2009). Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling. Strojniški vestnik - Journal of Mechanical Engineering, 55(12), 755-765. doi:http://dx.doi.org/
@article{., author = {Igor Budak and Mirko Soković and Janez Kopač and Janko Hodolič}, title = {Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling}, journal = {Strojniški vestnik - Journal of Mechanical Engineering}, volume = {55}, number = {12}, year = {2009}, keywords = {reverse engineering; pre-processing; 3D-digitization; point data reduction; }, abstract = {State of the art 3D-digitization systems designed for reverse engineering (RE) modelling are characterized by increased scanning speed and also by the possibility to generate a large number of points in a short time. Generally, this improves the efficiency of the RE-modelling process. In practice however, a significant number of points in the stage of the CAD model generation may become an issue. In addition, the 3D-digitization process is often connected with measuring errors because of the properties of measuring systems and/or the object. Therefore, nowadays considerable attention is devoted to the problem of pre-processing the results of 3D-digitization, often by means of tools of artificial intelligence. This paper introduces a pre-processing system based on fuzzy logic, along with the results of its practical application.}, issn = {0039-2480}, pages = {755-765}, doi = {}, url = {https://www.sv-jme.eu/article/point-data-pre-processing-based-on-fuzzy-logic-for-reverse-engineering-modelling/} }
Budak, I.,Soković, M.,Kopač, J.,Hodolič, J. 2009 October 55. Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 55:12
%A Budak, Igor %A Soković, Mirko %A Kopač, Janez %A Hodolič, Janko %D 2009 %T Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling %B 2009 %9 reverse engineering; pre-processing; 3D-digitization; point data reduction; %! Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling %K reverse engineering; pre-processing; 3D-digitization; point data reduction; %X State of the art 3D-digitization systems designed for reverse engineering (RE) modelling are characterized by increased scanning speed and also by the possibility to generate a large number of points in a short time. Generally, this improves the efficiency of the RE-modelling process. In practice however, a significant number of points in the stage of the CAD model generation may become an issue. In addition, the 3D-digitization process is often connected with measuring errors because of the properties of measuring systems and/or the object. Therefore, nowadays considerable attention is devoted to the problem of pre-processing the results of 3D-digitization, often by means of tools of artificial intelligence. This paper introduces a pre-processing system based on fuzzy logic, along with the results of its practical application. %U https://www.sv-jme.eu/article/point-data-pre-processing-based-on-fuzzy-logic-for-reverse-engineering-modelling/ %0 Journal Article %R %& 755 %P 11 %J Strojniški vestnik - Journal of Mechanical Engineering %V 55 %N 12 %@ 0039-2480 %8 2017-10-24 %7 2017-10-24
Budak, Igor, Mirko Soković, Janez Kopač, & Janko Hodolič. "Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling." Strojniški vestnik - Journal of Mechanical Engineering [Online], 55.12 (2009): 755-765. Web. 23 Dec. 2024
TY - JOUR AU - Budak, Igor AU - Soković, Mirko AU - Kopač, Janez AU - Hodolič, Janko PY - 2009 TI - Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling JF - Strojniški vestnik - Journal of Mechanical Engineering DO - KW - reverse engineering; pre-processing; 3D-digitization; point data reduction; N2 - State of the art 3D-digitization systems designed for reverse engineering (RE) modelling are characterized by increased scanning speed and also by the possibility to generate a large number of points in a short time. Generally, this improves the efficiency of the RE-modelling process. In practice however, a significant number of points in the stage of the CAD model generation may become an issue. In addition, the 3D-digitization process is often connected with measuring errors because of the properties of measuring systems and/or the object. Therefore, nowadays considerable attention is devoted to the problem of pre-processing the results of 3D-digitization, often by means of tools of artificial intelligence. This paper introduces a pre-processing system based on fuzzy logic, along with the results of its practical application. UR - https://www.sv-jme.eu/article/point-data-pre-processing-based-on-fuzzy-logic-for-reverse-engineering-modelling/
@article{{}{.}, author = {Budak, I., Soković, M., Kopač, J., Hodolič, J.}, title = {Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling}, journal = {Strojniški vestnik - Journal of Mechanical Engineering}, volume = {55}, number = {12}, year = {2009}, doi = {}, url = {https://www.sv-jme.eu/article/point-data-pre-processing-based-on-fuzzy-logic-for-reverse-engineering-modelling/} }
TY - JOUR AU - Budak, Igor AU - Soković, Mirko AU - Kopač, Janez AU - Hodolič, Janko PY - 2017/10/24 TI - Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 55, No 12 (2009): Strojniški vestnik - Journal of Mechanical Engineering DO - KW - reverse engineering, pre-processing, 3D-digitization, point data reduction, N2 - State of the art 3D-digitization systems designed for reverse engineering (RE) modelling are characterized by increased scanning speed and also by the possibility to generate a large number of points in a short time. Generally, this improves the efficiency of the RE-modelling process. In practice however, a significant number of points in the stage of the CAD model generation may become an issue. In addition, the 3D-digitization process is often connected with measuring errors because of the properties of measuring systems and/or the object. Therefore, nowadays considerable attention is devoted to the problem of pre-processing the results of 3D-digitization, often by means of tools of artificial intelligence. This paper introduces a pre-processing system based on fuzzy logic, along with the results of its practical application. UR - https://www.sv-jme.eu/article/point-data-pre-processing-based-on-fuzzy-logic-for-reverse-engineering-modelling/
Budak, Igor, Soković, Mirko, Kopač, Janez, AND Hodolič, Janko. "Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 55 Number 12 (24 October 2017)
Strojniški vestnik - Journal of Mechanical Engineering 55(2009)12, 755-765
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
State of the art 3D-digitization systems designed for reverse engineering (RE) modelling are characterized by increased scanning speed and also by the possibility to generate a large number of points in a short time. Generally, this improves the efficiency of the RE-modelling process. In practice however, a significant number of points in the stage of the CAD model generation may become an issue. In addition, the 3D-digitization process is often connected with measuring errors because of the properties of measuring systems and/or the object. Therefore, nowadays considerable attention is devoted to the problem of pre-processing the results of 3D-digitization, often by means of tools of artificial intelligence. This paper introduces a pre-processing system based on fuzzy logic, along with the results of its practical application.