By Thomas Luhman, Stuart Robson, Stephen Kyle, Ian Harley
An authoritative consultant and the 1st entire smooth textual content in this topic in English; offered the acclaimed Karl Kraus Medal via ISPRS
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Additional info for Close Range Photogrammetry: Principles, Techniques and Applications
1998) Digital Imaging. Whittles Publishing, Caithness, Scotland, UK. Haralick, R. M. and Shapiro, L. G. (1992) Computer and robot vision. Vol. , USA. Hartley, R. and Zisserman, A. (2000) Multiple View Geometry. Cambridge University Press, Cambridge, UK. , Haußecker, H. and Geißler, P. (1999) Handbook of computer vision and applications; Vol. 1 Sensors and imaging; Vol. 2 Signal processing and pattern recognition; Vol. 3 Systems and applications. Academic Press. Marr, D. (1982) Vision. Freeman, San Francisco.
And Luther, A. C. (1996) Video engineering. , McGraw-Hill, New York. Schwarte, R. (1997) Überblick und Vergleich aktueller Verfahren der optischen Formerfassung. GMA-Bericht 30, Optische Formerfassung, Langen, pp. 1-12. , Streicher-Abel, B. and Waszkewitz, (1999) Industrial image processing – Visual quality control in manufacturing. Springer, p. 353. Gonzales, R. C. and Wintz, P. (1987) Digital Image Processing. 2nd edition, Addison Wesley, p. 503. C. E. (2003) Digital Image Processing. Prentice Hall, p.
Mathematical fundamentals The spatial similarity transformation, also known as a 3D Helmert transformation, is defined by 7 parameters: 3 translations to the origin of the xyz system (vector X0 defined by X0, Y0, Z0), 3 rotation angles ω, ϕ, κ about the axes XYZ (implied by orthogonal rotation matrix R) and one scaling factor m. 1). 30) or ⎡ r11 ⎡ X ⎤ ⎡ X0 ⎤ ⎢ Y ⎥ = ⎢ Y ⎥ + m ⎢r ⎢ 21 ⎢ ⎥ ⎢ 0⎥ ⎢⎣ r31 ⎢⎣ Z ⎥⎦ ⎢⎣ Z0 ⎥⎦ r12 r22 r32 r13 ⎤ ⎡ x ⎤ ⎥ r23 ⎥ ⎢⎢ y ⎥⎥ r333 ⎥⎦ ⎢⎣ z ⎥⎦ In order to determine the seven parameters, a minimum of seven observations is required.
Close Range Photogrammetry: Principles, Techniques and Applications by Thomas Luhman, Stuart Robson, Stephen Kyle, Ian Harley