Discerning objects from ground and target pose estimation in LADAR data using robust statistics

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 2109-2112

  Felip, Ramon L ^a   Binefa, Xavier ^a   Diaz Caro, Jose ^b  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^b CIDA/SDGTECEN/DGAM   (Spain)

Author keywords

LADAR imaging; Object detection; Robust statistics

Indexed keywords

BELONG TO; BOUNDING BOX; DATA SAMPLE; DATA SOURCE; ITS DATA; LADAR IMAGING; LEAST MEDIAN SQUARE; OBJECT DETECTION; ORIENTED BOUNDING BOX; PARAMETRIC DESCRIPTION; POSE ESTIMATION; ROBUST PARAMETERS; ROBUST STATISTICS;

ESTIMATION; IMAGING SYSTEMS; OBJECT RECOGNITION;

OPTICAL RADAR;

EID: 78649856756     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312824     Document Type: Conference Paper

References (3)

1. Peter J. Rosseeuw and Annick M. Leroy, Robust Regression and Outlier Detection, Wiley-Interscience, 1987.
2. Dorin Comaniciu and Peter Meer, "Mean Shift: A Robust Approach Toward Feature Space Analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 24, no. 5, pp. 603-619, May 2002.
3. Ramon Felip, Xavier Binefa, and Jose Diaz-Caro, "A new parameter estimator based on the helmholtz principle," in IEEE International Conference on Image Processing (ICIP), 2005.