NDLI: Function-Based Classification from 3D Data and Audio

Content Provider	IEEE Xplore Digital Library
Author	Amsellem, A. Soldea, O. Rivlin, E.
Copyright Year	2006
Description	Author affiliation: Fac. of Micro Eng., Swiss Fed. Inst. of Technol., Lausanne (Amsellem, A.)
Abstract	We propose a novel scheme for fusion between two types of modalities to support function-based classification. While the first modality targets functional classification from sounds registered at impact, the second one aims classification of objects in 3D images. Using audio one can answer functional questions such as what is the material the analyzed objects are built of, if the objects are full or hollow, if they are heavy, and if they are rigidly linked to their supports. Audio based signatures are used to label parts of the object under analysis. Different parts of any object can be partitioned in generic multi-level hierarchical descriptions of functional components. Functionality, in the visual modality reasoning scheme, is derived from a large set of geometric attributes and relationships between object parts. These geometric properties represent labeling signatures to the primitive and functional parts of the analyzed classes. The fusion between both of the modalities relies on a shared cooperation among audio and visual signatures of the functional and primitive parts. The scheme does not require a-priori knowledge about any class. We tested the proposed scheme on a database of about one thousand different 3D objects. The results show high accuracy in classification
Starting Page	336
Ending Page	341
File Size	624559
Page Count	6
File Format	PDF
ISBN	1424402581
DOI	10.1109/IROS.2006.282584
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans System testing Materials testing Building materials Glass Steel Visual databases Sensor fusion Acoustic sensors Audio systems
Content Type	Text
Resource Type	Article

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