Three-Dimensional Measurement of Nostril Positions Based on Stereo-Camera

Bo Peng; Motohiro Kano; Nobuaki Nakazawa

doi:10.4028/www.scientific.net/AMR.821-822.1470

Paper Titles

Sampling Flow Channel Design in Automobile Engine Intake Manifold
p.1450

Cut Stress Ring to Measure Residual Stress of Roll
p.1456

The Calculating Method of the Degree of Freedom about the Rigid-Flexible Hybrid Mechanism
p.1461

Kinematics and Dynamics Analysis of Eccentric Circle Cam Mechanism
p.1466

Three-Dimensional Measurement of Nostril Positions Based on Stereo-Camera
p.1470

Experimental Study on the Dielectric Spectrum of Cotton Fiber Aggregation
p.1475

Progressive Failure Analysis of Thermoplastic PE/PE Composites: Labeling of Clustered AE Signals
p.1479

Working Process Simulation of the Gear Drive System in ADAMS
p.1488

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 821-822Three-Dimensional Measurement of Nostril Positions...

Three-Dimensional Measurement of Nostril Positions Based on Stereo-Camera

Abstract:

This paper describes the three dimensional measurement of facial feature points. The nostril part was picked up as a feature point. The humans face was observed by the stereo-camera in real time. The depth position of the nostril was derived by the binocular parallax between the detected positions of the two cameras. Here, a new detection method for a nostril was suggested. First of all, the binalization image obtained from the stereo-camera was changed to the connection ingredient by processing labeling. Next, the system narrowed down the candidate of the nostril as a facial feature point by checking the geometric characteristics such as size, the center of gravity every ingredient. Furthermore, the skin color around the nostril was utilized to enhance the detection system.

You might also be interested in these eBooks

Advances in Textile Engineering and Materials III

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 821-822)

Pages:

1470-1474

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.821-822.1470

Citation:

Cite this paper

Online since:

September 2013

Authors:

Bo Peng, Motohiro Kano, Nobuaki Nakazawa

Keywords:

Facial Feature Points, Human Interface, Measurement, Stereo-Camera

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] S. Ishii: Meal-assistance Robot My Spoon, Journal of Robotics Society of Japan, Vol. 21, No. 4, pp.378-381 (2003).

Google Scholar

[2] H. Uehara, H. Higa, T. Soken, and Y. Namihira: Trial Development of a Mobile Feeding Assistive Robotic Ann for People with Physical Disabilities of the Extremities, The transactions of the Institute of Electrical Engineers of Japan. C, Vol. 131, No. 10, pp.1752-1759 (2011).

DOI: 10.1541/ieejeiss.131.1752

Google Scholar