Novelty detection and 3D shape retrieval based on Gaussian mixture models for autonomous surveillance robotics

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Volumn , Issue , 2009, Pages 4724-4730

  Nunez P ^a,b   Drews Jr , P ^c   Rocha, R ^d   Campos, M ^c   Dias, J ^d  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b UNIVERSITY OF EXTREMADURA   (Spain)

^c FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^d UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

3-DIMENSIONAL; 3D SHAPE RETRIEVAL; AUTONOMOUS ROBOT; AUTONOMOUS SURVEILLANCE; COMPUTATIONAL COSTS; EARTH MOVER'S DISTANCE; EFFICIENT METHOD; GAUSSIAN FUNCTIONS; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURES; GEOMETRIC PRIMITIVES; LASER RANGE FINDERS; MATHEMATICAL SPACE; NOVELTY DETECTION; POINT CLOUD; RANDOM SAMPLING; SHAPE RETRIEVAL;

BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTATIONAL EFFICIENCY; INTELLIGENT ROBOTS; MIXTURES; OBJECT RECOGNITION; SAMPLING;

THREE DIMENSIONAL;

EID: 76249083158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2009.5354712     Document Type: Conference Paper

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