Name
Abstract | ||
|---|---|---|
In this paper, we describe a method to detect human fingers from images captured by a stereo camera. The images captured by the stereo camera are preprocessed by a skin detection module. Two hands are extracted from the skin regions using disparity information. We then apply grayscale morphology and use BLOB analysis to detect fingers and their directions. The method is simple yet powerful for finger detection. This extraction result can be used for posture and gesture recognition tasks in computer vision. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ROBIO.2009.4913024 | ROBIO |
Keywords | Field | DocType |
finger extraction,skin region,disparity information,computer vision,gesture recognition task,finger detection,blob analysis,skin detection module,stereo camera,grayscale morphology,extraction result,image segmentation,noise,gray scale,gesture recognition,stereo vision,feature extraction,image resolution,data mining,skin | Stereo camera,Computer vision,Stereopsis,Gesture recognition,Feature extraction,Image segmentation,Blob detection,Artificial intelligence,Engineering,Grayscale,Computer stereo vision | Conference |
Citations | PageRank | References |
4 | 0.43 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dung Duc Nguyen | 1 | 134 | 13.34 |
| Thien Cong Pham | 2 | 22 | 3.12 |
| Xuan Dai Pham | 3 | 171 | 10.04 |
| Seung Hun Jin | 4 | 38 | 3.45 |
| Jae Wook Jeon | 5 | 565 | 77.35 |