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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jun Chu Anzheng GuoLu Lingfeng Wang Chunhong Pan Shiming Xiang |
| Copyright Year | 2013 |
| Description | Author affiliation: Inst. of Comput. Vision, Nanchang Hangkong Univ., Nanchang, China (Jun Chu; Anzheng GuoLu) || NLPR, Inst. of Autom., Beijing, China (Lingfeng Wang; Chunhong Pan; Shiming Xiang) |
| Abstract | Frame structure estimation from line segments is an important yet challenging problem in understanding indoor scenes. In practice, line segment extraction can be affected by occlusions, illumination variations, and weak object boundaries. To address this problem, an approach for frame structure recovery based on line segment refinement and voting is proposed. We refined line segments by the revising, connecting, and adding operations. We then propose an iterative voting mechanism for selecting refined line segments, where a cross ratio constraint is enforced to build crab-like models. Our algorithm outperforms state-of-the-art approaches, especially when considering complex indoor scenes. |
| Starting Page | 1996 |
| Ending Page | 2000 |
| File Size | 6951110 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479903566 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2013.6638003 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-05-26 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Lighting Joining processes Computational modeling Computer vision Estimation Three-dimensional displays cross ratio indoor frame recovery line segment refinement iterative voting |
| Content Type | Text |
| Resource Type | Article |
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