Abstract | ||
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A computationally efficient approach to obtain vanishing points in images for camera orientation applications is presented in this paper. Modifications are made to the conventional J-linkage algorithm, named Fast J-linkage, so that the detection of vanishing points is achieved in a computationally efficient manner. This fast algorithm is then utilized to recover camera orientation or rotation matrices from video sequences. Both the computational efficiency and performance aspect of the Fast J-linkage algorithm are compared with the conventional J-linkage algorithm by examining the York Urban image database. In addition, the results of an actual camera rotation implementation is provided and validated by using inertial sensors data. The results obtained indicate the higher computational efficiency and accuracy aspects of the developed vanishing point detection. |
Year | DOI | Venue |
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2018 | 10.1007/s11554-016-0649-0 | J. Real-Time Image Processing |
Keywords | Field | DocType |
Computationally efficient vanishing point detection, Fast J-linkage algorithm, Camera orientation applications | Computer vision,Rotation matrix,Computer graphics (images),Computer science,Camera auto-calibration,Camera orientation,Algorithm,Artificial intelligence,Inertial measurement unit,Image database,Vanishing point | Journal |
Volume | Issue | ISSN |
14 | 4 | 1861-8219 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chih-Hsiang Chang | 1 | 103 | 10.91 |
Nasser D. Kehtarnavaz | 2 | 534 | 66.02 |