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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kai Ki Lee Ying Kin Yu Kin Hong Wong |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Hong Kong, China (Ying Kin Yu; Kin Hong Wong) || Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Hong Kong, China (Kai Ki Lee) |
| Abstract | In this paper, a novel method to detect multiple quadrangles in images for the applications in projected reality, such as a smart office environment, is proposed. The proposed approach is able to detect rectangular surfaces with perspective distortion, which appear as quadrangles in 2D images, in a cluttered background accurately. It can deal with partial occlusion. A new technique called the Q-corner is devised based on randomized Hough transform (RHT). This makes the algorithm become effective and robust in finding multiple rectangular objects like white card-boards in the scene. We present the experiment results with synthetic and real data, showing that our method is more robust to noise than a standard contour-based algorithm and an existing line-based method. The promise of the method for potential applications has been demonstrated in a real scenario. |
| Starting Page | 1949 |
| Ending Page | 1954 |
| File Size | 898362 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479983896 |
| DOI | 10.1109/ICIEA.2015.7334431 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-15 |
| Publisher Place | New Zealand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Transforms Robustness Distortion Shape Signal to noise ratio Conferences |
| Content Type | Text |
| Resource Type | Article |
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