Constraints in CAD models for reverse engineering using photogrammetry

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 33, Issue , 2000, Pages 215-221

  Ermes, Pierre ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

CAD; Modeling; Photogrammetry; Reconstruction

Indexed keywords

GEOMETRY; IMAGE RECONSTRUCTION; MODELS; PHOTOGRAMMETRY; REMOTE SENSING; REVERSE ENGINEERING;

CONSTRUCTIVE SOLID GEOMETRY; CONTINUITY REQUIREMENTS; EXTERIOR ORIENTATION PARAMETERS; GEOMETRIC CONSTRAINT; LEAST SQUARES ADJUSTMENTS; OBSERVATION EQUATION; PHOTOGRAMMETRIC MEASUREMENTS; RELATIVE ORIENTATION;

COMPUTER AIDED DESIGN;

EID: 85044067786     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Benning, W., 1997. PHIDIAS-MS – Eine Digitale Photogrammetrieapplication unter MicroStation fur Nahbereichsanwendungen. Allgemeine Vermessungsnachrichten, pp. 16-25.
2. Bouma, W., Chen, X., Fudos, I., Hoffmann, C., Vermeer, P.J., An Electronic Primer on Geometric Constraint Solving. http://www.cs.purdue.edu/homes/cmh/electrobook/intro.html (March 2000).
3. Ermes, P., van den Heuvel, F.A., Vosselman, G., 1999. A Photogrammetric Measurement Method Using CSG Models. International Archives of Photogrammetry and Remote Sensing, Vol 32, Part 5W11, Thessaloniki, pp. 36-42.
4. Hilgers, G., Przybilla, H.-J., Woytowics, D., 1998. The Digital Photogrammetric Evaluation System PHAUST for As-Built Documentation. International Archives of Photogrammetry and Remote Sensing, Vol 32, Part 5, Hakodate, pp. 226-229.
5. Jones, M.A., Chapman, D.P., Hamid, A.A., Deacon, A.T.D., 1996. Close Range Photogrammetry Using Geometrical Primitives for Efficient CAD Modelling of Industrial Plant. International Archives of Photogrammetry and Remote Sensing, Vol 31, Part B5, Vienna.
6. Luhmann, T., 2000. Nahbereichsphotogrammetrie. Wichmann, Heidelberg, pp. 67-68.
7. Mikhail, E.M., 1976. Observations and Least Squares. Dun-Donnelley, New York.