3D Content-Based Model Matching using Geometric Features
2006 (English)Report (Other academic)
We present an approach that utilizes efficient geometric feature extraction and a matching method that takes articulation into account. It is primarily applicable for man-made objects. First the object is analyzed to extract geometric features, dimensions and rotation are estimated and typical parts, so-called functional parts, are identified. Examples of functional parts are a box's lid, a building's chimney, or a battle tank's barrel. We assume a model library with full annotation. The geometric features are matched with the model descriptors, to gain fast and early rejection of non-relevant models. After this pruning the objectis matched with relevant, usually few, library models. We propose a sequential matching, where the number of functional parts increases in each iteration. The division into parts increases the possibility for correct matching result when several similar models are available. The approach is exemplifi
ed with an vehicle recognition application, where some vehicles have functional parts.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2006. , 8 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2726
Geometric features, Early rejection, Content-based matching, Least squares
IdentifiersURN: urn:nbn:se:liu:diva-14121ISRN: LITH-ISY-R-2726OAI: oai:DiVA.org:liu-14121DiVA: diva2:22674