Name
Title | ||
|---|---|---|
Rotational contour signatures for both real-valued and binary feature representations of 3D local shape. |
Abstract | ||
|---|---|---|
•We first use the 2D contour cue to describe 3D local shape.•Rotational contour signatures (RCS) is presented 3D local shape description.•RCS consists of both real-valued and binary representations.•Across-dataset experiments and comparisons validate the superiority of RCS. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.cviu.2017.02.004 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
Local shape descriptor,Rotation,Contour signature,Binary representation,Feature matching | Local reference frame,Artificial intelligence,Thresholding,Binary number,Computer vision,Pattern recognition,Clutter,Point cloud,Quantization (signal processing),Machine learning,Mathematics,Cognitive neuroscience of visual object recognition,Encoding (memory) | Journal |
Volume | Issue | ISSN |
160 | 1 | 1077-3142 |
Citations | PageRank | References |
11 | 0.46 | 33 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiaqi Yang | 1 | 102 | 10.71 |
| Qian Zhang | 2 | 290 | 43.11 |
| Ke Xian | 3 | 55 | 8.99 |
| Yang Xiao | 4 | 237 | 26.58 |
| Zhiguo Cao | 5 | 314 | 44.17 |