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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pazzaglia, F. Colombo, C. |
| Copyright Year | 2012 |
| Description | Author affiliation: Computational Vision Group - DSI, University of Florence, Italy (Pazzaglia, F.; Colombo, C.) |
| Abstract | In this paper we propose an original framework for the description and the subsequent recognition of objects of limited size. Although of general applicability, the framework is presented here as a way to trace different yet similar metal tools employed in the mechanical constructions industry. For the purpose of object description, time-varying silhouettes of the object are acquired under turntable motion and collated into a single image. The resulting footprint matrix represents the object in both a compact and effective way. Visual matching of footprint matrices is carried out with a computationally efficient algorithm that is organized into three distinct levels so as to benefit of a progressive suppression of the irrelevant information. |
| Starting Page | 2549 |
| Ending Page | 2552 |
| File Size | 255285 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467322164 |
| ISSN | 10514651 |
| e-ISBN | 9784990644109 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-11 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | ICPR Org Committee |
| Subject Keyword | Visualization Shape Databases Computer vision Cameras Approximation methods Educational institutions |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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