Name
Abstract | ||
|---|---|---|
Perceptual grouping is an important part of many computer vision systems. When inferring a new grouping from the primitive features there is always an uncertainty degree on this detection, that might be useful in further reasonings. In this paper, we present a fuzzy logic based system for the computation of the certainties assigned to pairwise line segment relations and introduce its application to the detection of continuity, identity, junction, L-junction, incidence, T-junction and parallelism relations. The results presented show that the proposed method might be very promising for future applications. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-76725-1_50 | CIARP |
Keywords | Field | DocType |
fuzzy logic,line segment relation,new grouping,future application,parallelism relation,certainty measure,computer vision system,primitive feature,perceptual grouping,important part,pairwise line segment perceptual,computer vision,certainty | Computer vision,Pairwise comparison,Line segment,Certainty,Pattern recognition,Computer science,Fuzzy logic,Artificial intelligence,Fuzzy number,Perception,Computation | Conference |
Volume | ISSN | ISBN |
4756 | 0302-9743 | 3-540-76724-X |
Citations | PageRank | References |
1 | 0.38 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Rouco | 1 | 55 | 10.41 |
| M. Penas | 2 | 97 | 9.60 |
| Manuel G. Penedo | 3 | 185 | 35.91 |
| M Ortega | 4 | 235 | 37.13 |
| Carmen Alonso-Montes | 5 | 4 | 1.45 |