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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Effendi, S. Jarvis, R. Wai Ho Li |
| Copyright Year | 2010 |
| Description | Author affiliation: Intelligent Robotics Research Centre, Monash University, Clayton, Victoria Australia (Effendi, S.; Jarvis, R.; Wai Ho Li) |
| Abstract | This paper describes a 3D shape reconstruction method using vision sensors targeted at domestic robotics applications. We propose a new method to fuse stereo disparity map and Shape from “Silhouette” (SFS). What we mean by silhouette in this paper is different from the existing silhouette definition. The silhouette here is not obtained from back projecting the object contour to the image plane but rather foreground/background stereo segmentation. Therefore, we impose the restraint that objects must be placed on a richly textured background. Furthermore, we use only three views to obtain the SFS. Preliminary results on domestic objects suggests that our method can distinguish objects such as cylinder, box and ball shapes. |
| Starting Page | 82 |
| Ending Page | 89 |
| File Size | 767322 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424464999 |
| e-ISBN | 9781424465026 |
| DOI | 10.1109/ICCIS.2010.5518577 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-28 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Intelligent robots Robot sensing systems Image reconstruction Clouds Object recognition Stereo image processing Intelligent sensors Robot vision systems Fuses robotics silhouette stereo superquadrics 3D reconstruction shape |
| Content Type | Text |
| Resource Type | Article |
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