Full text: Papers accepted on the basis of peer-reviewed abstracts (Part B)

>1. XXXVIII, Part 7B 
In; Wagner W., Szdkely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
91 
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ion has been of only 
NTAL RESULTS 
A, B, C, D, E, and 
uisitions of B, 10 
ten 8 acquisitions of 
Graph Matching the 
dering PRN Graph 
gnition are of 100% 
need some further 
Bowyer, K., Chang, K., Flynn, P., 2006: A Survey of 
Approaches and Challenges in 3D and Multi-Model 3D+2D 
Face Recognition, Computer Vision and Image Understanding, 
January 2006, Vol. 101, No. l,pp. 1-15 
Fazl-Ersi, E., Zelek, J. S., Tsotsos, J. K., 2007: Robust Face 
Recognition through local graph matching. Journal of 
Multimedia, Vol. 2, No. 5, September 2007, pp. 31-33 
Khoshelham, K., 2007: Extending Generalized Hough 
Transform to Detect 3D Objects in Laser Range Data. Optical 
and Laser Remote Sensing Research Group, Delft University of 
Technology, Kluyverweg 1, 2629 HS Delft, The Netherlands; 
ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007, 
Espoo, September 12-14, Finland (2007) 
:s 
lough Transform to 
ion, Vol. 13, No. 2, 
iscina, F., Nitti, D., 
Jptimisation Using 
Li, and G.W. Irwin 
•inger-Verlag Berlin 
, G., 2009: 3D Head 
y Analysis, Genetic 
:uits, Systems and 
,,pp. 1425-1439 
G., 2008: Extending 
r 3D-Face Nose-Tip 
2008, LNAI 5227 - 
, pp. 1200-1209 
Santarcangelo, V., 
e Identification and 
Map and Graph 
id Computers, 2010, 
L, Santarcangelo, V., 
009: Experimental 
ognition frameworks 
J 5755 - © Springer- 
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