Name
Abstract | ||
|---|---|---|
This paper describes an approach to the detection of straight lines and circular arcs in images. The algorithm uses a measure based on significance proposed by D. G. Lowe (Three-dimensional object recognition from single two-dimensional images, Artificial Intelligence 31 , 355–395 (1987)). Edge points are processed to produce a description combining lines and arcs. No thresholds are required for either (1) fitting the best lines and arcs to the data or (2) choosing between the best line and arc fits as the most appropriate description. Results are presented demonstrating the performance on complex images. |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1016/0031-3203(91)90031-Y | Pattern Recognition |
Keywords | Field | DocType |
image curves,line fitting,arc fitting,tree searching,feature extraction,image curve,meaningful description | Computer vision,Market segmentation,Pattern recognition,Curve fitting,Segmentation,Edge detection,Image processing,Artificial intelligence,Mathematics,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
24 | 7 | Pattern Recognition |
Citations | PageRank | References |
24 | 1.59 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. A. W. West | 1 | 55 | 12.60 |
| Paul L. Rosin | 2 | 2559 | 254.25 |