Name
Abstract | ||
|---|---|---|
Fingertips detection is one of interesting problems in computer vision whose the aim is to locate fingertips in an input image. In this paper, we propose a method for fingertips detection using RGB-D image and convolution neural network. A deep convolutional network based model is used detect hands in an input image. Then we locate the fingertips based on the texture of the detected regions with some rules. The experimental results show that our method is a promising technique for fingertips detection in real time. |
Year | Venue | Keywords |
|---|---|---|
2017 | 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | fingertips detection, convolution neural network, RGB-D image |
Field | DocType | Citations |
Computer vision,Object detection,Computer science,Convolutional neural network,Convolution,RGB color model,Artificial intelligence,Artificial neural network,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hai Duong Nguyen | 1 | 5 | 2.82 |
| Young Chul Kim | 2 | 0 | 0.34 |
| Soo-Hyung Kim | 3 | 191 | 49.03 |
| In Seop Na | 4 | 42 | 13.83 |