LTSD: A Highly Efficient Symmetry-Based Robust Estimator

Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002

Volumn , Issue , 2002, Pages 332-337

  Wang, Hanzi ^a   Suter, David ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GAUSSIAN NOISE (ELECTRONIC); LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBABILITY; REGRESSION ANALYSIS; ALGORITHMS; CONTAMINATION; DATA REDUCTION; VECTORS;

CLUSTERED OUTLINERS; INLIER POPULATION; ROBUST ESTIMATOR; SYMMETRY DISTANCE (SD); CONIC FITTING; LEAST TRIMMED SQUARES (LTS) METHODS; ROBUST ESTIMATORS;

ROBUSTNESS (CONTROL SYSTEMS);

EID: 2342431026     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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