A probabilistic framework for object search with 6-DOF pose estimation

International Journal of Robotics Research

Volumn 30, Issue 10, 2011, Pages 1209-1228

  Ma, Jeremy ^a   Chung, Timothy H ^b   Burdick, Joel ^c  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b NAVAL POSTGRADUATE SCHOOL   (United States)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Range sensing; recognition; sensing and perception computer vision; visual tracking

Indexed keywords

3D OBJECT; CHARACTERISTIC PARAMETER; COLOR HISTOGRAM; FEATURE MATCHING; GLOBAL SEARCH; GRID-BASED; INDOOR ENVIRONMENT; LOCAL SEARCH; NON-HOLONOMIC ROBOT; OBSTACLE DETECTION; POSE ESTIMATION; PROBABILISTIC FRAMEWORK; PROBABILITY MAPS; RANGE SENSING; RECOGNITION; RECURSION METHODS; SCALE INVARIANT FEATURE TRANSFORMS; SEARCH METHOD; SEARCH STRATEGIES; SENSING AND PERCEPTION; SENSING MODALITIES; SIFT FEATURE; VISUAL TRACKING;

COLOR MATCHING; LAPTOP COMPUTERS; OBSTACLE DETECTORS; ROBOTS; THREE DIMENSIONAL;

COMPUTER VISION;

EID: 80052587363     PISSN: 02783649     EISSN: 17413176     Source Type: Journal    
DOI: 10.1177/0278364911410090     Document Type: Article

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