Name
Abstract | ||
|---|---|---|
We present a method to detect human fingertips from images captured by a stereo camera. The system makes use of the disparity information from a stereo camera to find candidates, and defines an evaluation process to detect two hands. The finger detector then processes each hand image to extract finger images. Finally, we perform geometric calculations on the results to relocate the positions of the fingertips. The proposed method is not complex; however, it shows exciting results in terms of run time and detection rates. The extraction result can be used in hand configuration modeling for gesture recognition in HCI systems. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IROS.2009.5354258 | IROS |
Keywords | Field | DocType |
finger detector,hand image,human computer interaction,fingertip detection,finger image extraction,computational geometry,disparity information,evaluation process,geometric calculation,feature extraction,stereo camera,geometric calculations,hand configuration modeling,stereo image detection,detection rate,hci system,gesture recognition,stereo image processing,finger image,morphology,noise,gray scale,detectors,skin | Computer vision,Stereo camera,Computer graphics (images),Computer science,Computational geometry,Gesture recognition,Feature extraction,Artificial intelligence,Fingertip detection,Detector,Grayscale | Conference |
ISBN | Citations | PageRank |
978-1-4244-3804-4 | 11 | 0.70 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dung Duc Nguyen | 1 | 134 | 13.34 |
| Thien Cong Pham | 2 | 22 | 3.12 |
| Jae Wook Jeon | 3 | 565 | 77.35 |