Abstract:
This paper 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 infor...Show MoreMetadata
Abstract:
This paper 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. The experimental results show that our proposed approach to mobile 3D visual search outperforms JPEG and single-view SIFT-based search.
Published in: 2013 IEEE International Conference on Image Processing
Date of Conference: 15-18 September 2013
Date Added to IEEE Xplore: 13 February 2014
Electronic ISBN:978-1-4799-2341-0