Adaptive neighborhood selection for real-time surface normal estimation from organized point cloud data using integral images

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2012, Pages 2684-2689

  Holzer, S ^a,b   Rusu, R B ^b   Dixon, M ^b   Gedikli, S ^b   Navab, N ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b Willow Garage Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE NEIGHBORHOOD SELECTION; COVARIANCE ESTIMATION; DEPTH DEPENDENTS; HIGH FRAME RATE; INTEGRAL IMAGES; POINT CLOUD; POINT CLOUD DATA; REAL-TIME COMPUTER VISION; SURFACE NORMAL ESTIMATION; SURFACE NORMALS;

ALGORITHMS; COMPUTER VISION; INTELLIGENT SYSTEMS;

ESTIMATION;

EID: 84872324867     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2012.6385999     Document Type: Conference Paper

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