MOPED: A scalable and low latency object recognition and pose estimation system

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2010, Pages 2043-2049

  Martinez, Manuel ^a   Collet, Alvaro ^a   Srinivasa, Siddhartha S ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b INTEL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE MATCHING ALGORITHMS; HUMAN ENVIRONMENT; LOW LATENCY; OBJECT RECOGNITION ALGORITHM; PERCEPTION SYSTEMS; POSE ESTIMATION; REAL-WORLD; STANDARD HARDWARE; STATE OF THE ART;

ALGORITHMS; ROBOTICS; ROBOTS;

OBJECT RECOGNITION;

EID: 77955798776     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2010.5509801     Document Type: Conference Paper

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