Mobile 3D Visual Search using the Helmert Transformation of Stereo Features
2013 (English)Conference paper (Refereed)
This work presents a scheme for mobile 3D visual search that facilitates mobile recognition of 3D objects. We use a multi-view approach to extract the 3D geometric information of the query objects and integrate it into SIFT descriptors. To meet a given transmission bandwidth, we use a rate-constrained quad-tree representation for feature selection and encoding. With this approach, we are able to progressively match the query features against the stereo features in the database and implement a robust geometric verification with the Helmert transformation.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2013.
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-129317DOI: 10.1109/ICIP.2013.6738716ISI: 000351597603114ScopusID: 2-s2.0-84897802317ISBN: 978-1-4799-2341-0OAI: oai:DiVA.org:kth-129317DiVA: diva2:651526
Image Processing (ICIP), 2013 20th IEEE International Conference on
QC 201403172013-09-262013-09-262015-12-08Bibliographically approved