Name
Abstract | ||
|---|---|---|
Accurate and efficient detection of circular objects in images is a challenging computer vision problem. Existing circular object detection methods can be broadly classified into two categories: voting based and maximum likelihood estimation (MLE) based. The former is robust to noise, however its computational complexity and memory requirement are high. On the other hand, MLE based methods (e.g., ... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/LSP.2011.2166956 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Noise,Shape,Robustness,Image edge detection,Object detection,Face,Accuracy | Least squares,Pairwise comparison,Object detection,Pattern recognition,Hough transform,Image noise,Robustness (computer science),Artificial intelligence,Probabilistic logic,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
18 | 11 | 1070-9908 |
Citations | PageRank | References |
12 | 0.69 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lili Pan | 1 | 46 | 6.25 |
| Wen-Sheng Chu | 2 | 380 | 14.54 |
| Jason M. Saragih | 3 | 1668 | 69.02 |
| Fernando De La Torre | 4 | 3832 | 181.17 |
| Mei Xie | 5 | 56 | 13.64 |