A Geometry-Based Local Descriptor for Range Data
2007 (English)In: Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications: Rome, Italy, ACM , 2007, 210-217 p.Conference paper (Refereed)
We present a novel local descriptor for range data that can describe one or more planes or lines in a local region. It is possible to recover the geometry of the described local region and extract the size, position and orientation of each local plane or line-like structure from the descriptor. This gives the descriptor a property that other popular local descriptors for range data, such as spin images or point signatures, does not have. The estimation of the descriptor is dependant on estimation of surface normals but does not depend on the specific normal estimation method used. It is shown that is possible to extract how many planar surface regions the descriptor represents and that this could be used as a point-of-interest detector.
Place, publisher, year, edition, pages
ACM , 2007. 210-217 p.
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-21714DOI: 10.1109/DICTA.2007.4426798ISBN: 0-7695-3067-2OAI: oai:DiVA.org:liu-21714DiVA: diva2:273829
Digital Image Computing: Techniques and Applications (DICTA), 3-5 December, Adelaide, Australia