NDLI: A real-time face to camera distance measurement algorithm using object classification

Content Provider	IEEE Xplore Digital Library
Author	Hossain, M.A. Mukit, M.
Copyright Year	2015
Description	Author affiliation: Electr. Commun. Eng., Univ. Kassel, Kassel, Germany (Hossain, M.A.) \|\| Electr. & Electron. Eng., World Univ. of Bangladesh, Dhaka, Bangladesh (Mukit, M.)
Abstract	In a human and computer interaction based system, distance estimation by computer vision between camera and human face is a vital operation. To calculate the distance between the camera and face, an estimation method based on feature detection is proposed in this paper, where detection of eyes, face and iris in an image sequence is described. From the estimated iris and the distance between the centroid of the iris, an algorithm is proposed to determine the distance from camera to face. An architecture for face detection based system on AdaBoost algorithm using Haar features and Canny and Hugo Transform for edge and circular iris estimation is presented here. Wrongly detected faces are removed by analyzing the disparity map. From the estimated face, canny and Hugo transform is used to determine the iris, and to calculate the distance between the centroid of iris. Later Pythagoras and similarity of triangles are used for distance estimation. The implementation is done in C++ using Intel OpenCV image processing libraries to reduce system overhead.
Sponsorship	Rajshahi Univ. Eng. & Technol.
Starting Page	107
Ending Page	110
File Size	944809
Page Count	4
File Format	PDF
ISBN	9781467383424
e-ISBN	9781467383431
DOI	10.1109/CCIE.2015.7399293
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-26
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	AdaBoost Image edge detection Hugo Transform Haar Classifier Estimation Canny Transform Detection OprnCV
Content Type	Text
Resource Type	Article

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