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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen Kong Dahua Lin Bansal, M. Urtasun, R. Fidler, S. |
| Copyright Year | 2014 |
| Description | Author affiliation: TTI Chicago, Chicago, IL, USA (Dahua Lin; Bansal, M.; Urtasun, R.) || Tsinghua Univ., Beijing, China (Chen Kong) || Univ. of Toronto, Toronto, ON, Canada (Fidler, S.) |
| Abstract | In this paper we exploit natural sentential descriptions of RGB-D scenes in order to improve 3D semantic parsing. Importantly, in doing so, we reason about which particular object each noun/pronoun is referring to in the image. This allows us to utilize visual information in order to disambiguate the so-called coreference resolution problem that arises in text. Towards this goal, we propose a structure prediction model that exploits potentials computed from text and RGB-D imagery to reason about the class of the 3D objects, the scene type, as well as to align the nouns/pronouns with the referred visual objects. We demonstrate the effectiveness of our approach on the challenging NYU-RGBD v2 dataset, which we enrich with natural lingual descriptions. We show that our approach significantly improves 3D detection and scene classification accuracy, and is able to reliably estimate the text-to-image alignment. Furthermore, by using textual and visual information, we are also able to successfully deal with coreference in text, improving upon the state-of-the-art Stanford coreference system [15]. |
| Starting Page | 3558 |
| Ending Page | 3565 |
| File Size | 2858332 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479951185 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2014.455 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Three-dimensional displays Image color analysis Semantics Accuracy Solid modeling Image segmentation scene understanding Text and images 3D object detection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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