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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Laubenheimer, A. Richter, S. Kroschel, K. |
| Copyright Year | 2007 |
| Description | Author affiliation: Inst. fuer Nachrichtentechnik, Univ. Karlsruhe, Karlsruhe (Kroschel, K.) || Fraunhofer Inst. for Inf. & Data Process., Karlsruhe (Laubenheimer, A.; Richter, S.) |
| Abstract | In real world scenes a large amount of objects can occur, that have to be recognized and localized by humanoids. In this paper we propose a new approach to initialize three-dimensional pose and shape parameters for a large variety of objects, which is applicable to single images. In order to feed the recognition system with a priori knowledge, three-dimensional models are used and in order to cope with shape variations, deformable variants of these models are built. Thereby, three-dimensional object descriptions, which incorporate shape parameters, are provided to the recognition system. By discretizing relevant shape and pose parameters, synthetic model views are created. A new method for the selection of the best fitting model view is proposed, which is realized, by applying a chain of filters on large sets of relevant model views. The pose parameters, that are associated with the selected model view, are enhanced in precision by means of a model-based parameter optimization technique. Overall, the approach allows to cope with strongly variable object shapes by combining the benefits of appearance-based and deformable model-based approaches. We present experimental results, proving the high variability of the proposed method and its robustness against partial occlusions. Furthermore, the method was applied to a real world scene, where the estimated pose and shape parameters were used to initialize a tracking application. |
| Starting Page | 159 |
| Ending Page | 166 |
| File Size | 659444 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424418619 |
| DOI | 10.1109/ICHR.2007.4813863 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Deformable models Shape Layout Life estimation |
| Content Type | Text |
| Resource Type | Article |
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