DocumentCode :
602466
Title :
RMSD: A 3D real-time mid-level scene description system
Author :
Georgiev, Kiril ; Lakaemper, Rolf
Author_Institution :
Temple Univ., Temple, TX, USA
fYear :
2013
fDate :
15-17 Jan. 2013
Firstpage :
177
Lastpage :
183
Abstract :
This paper introduces a system for real-time, visual 3D scene description. A scene is described by planar patches and conical objects (cylinders, cones and spheres). The system makes use of sensor´s natural point order, dimensionality reduction and fast incremental model update (in O(1)) to first build 2D geometric features. These features approximate the original data and form candidate sets of possible 3D object models. The candidate sets are used by a region growing algorithm to extract all targeted 3D objects. This two step (raw data to 2D features to 3D objects) approach is able to process 30 frames per second on Kinect depth data, which allows for real-time tracking and feature based robot mapping based on 3D range data.
Keywords :
feature extraction; geometry; object tracking; path planning; real-time systems; robot vision; solid modelling; 2D feature extraction; 2D geometric features; 3D object extraction; 3D object models; 3D range data; 3D real-time mid-level scene description system; Kinect depth data; RMSD; candidate sets; conical objects; dimensionality reduction; fast incremental model update; feature based robot mapping; planar patches; real-time tracking; region growing algorithm; sensor natural point order; visual 3D scene description; Complexity theory; Data models; Feature extraction; Laser theory; Real-time systems; Robots; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot Vision (WORV), 2013 IEEE Workshop on
Conference_Location :
Clearwater Beach, FL
Print_ISBN :
978-1-4673-5646-6
Electronic_ISBN :
978-1-4673-5647-3
Type :
conf
DOI :
10.1109/WORV.2013.6521935
Filename :
6521935
Link To Document :
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