Real-time face detection and recognition on LEGO mindstorms NXT robot

Authors:
Tae-Hoon Lee
Affiliations:
Center for Cognitive Robotics, Korea Institute of Science and Technology, Seoul, Republic of Korea
Venue:
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Year:
2007

Citing 9
Cited 0

PCA versus LDA

IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Based on Fitting a 3D Morphable Model

IEEE Transactions on Pattern Analysis and Machine Intelligence
Rank Constrained Recognition under Unknown Illuminations

AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Robust Real-Time Face Detection

International Journal of Computer Vision
Appearance-Based Face Recognition and Light-Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition from a single image per person: A survey

Pattern Recognition
Introducing Embedded Design Concepts to Freshmen and Sophomore Engineering Students with LEGO MINDSTORMS NXT

MSE '07 Proceedings of the 2007 IEEE International Conference on Microelectronic Systems Education
Eigenfaces for recognition

Journal of Cognitive Neuroscience

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper addresses a real-time implementation of face recognition system with LEGO Mindstorms NXT robot and wireless camera. This system is organized to capture an image sequence, find the features of face in the images, and recognize and verify a person. Moreover, this system can collect the facial images of various poses due to movable robot, which enables this system to increase performance. The current implementation uses the LDA(Linear Discriminant Analysis) learning algorithm considering the number of training data. We havemade several tests on video data, and measured the performance and the speed of the proposed system in real environment. Finally, the result has confirmed that the proposed system is better than conventional PC-based systems.