Abstract
In this paper a robust method is presented to classify and estimate an objects pose from a real time range image and a low dimensional model. The model is made from a range image training set which is reduced dimensionally by a nonlinear manifold learning method named Local Linear Embedding (LLE). New range images are then projected to this model giving the low dimensional coordinates of the object pose in an efficient manner. The range images are acquired by a state of the art SwissRanger SR-3000 camera making the projection process work in real-time.
Original language | English |
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Title of host publication | Lecture Notes in Computer Science : Proceedings of the 15th Scandinavian Conference on Image Analysis |
Editors | Bjarne Kjær Ersbøll, Kim Steenstrup Pedersen |
Volume | 4522 |
Place of Publication | Berlin / Heidelberg |
Publisher | Springer |
Publication date | 2007 |
Pages | 968-975 |
ISBN (Print) | 978-3-540-73039-2 |
DOIs | |
Publication status | Published - 2007 |
Event | 15th Scandinavian Conference on Image Analysis - Aalborg, Denmark Duration: 10 Jun 2007 → 24 Jun 2007 Conference number: 15 |
Conference
Conference | 15th Scandinavian Conference on Image Analysis |
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Number | 15 |
Country/Territory | Denmark |
City | Aalborg |
Period | 10/06/2007 → 24/06/2007 |