Face and Facial Landmarks Location Based on Log-Polar Mapping

Authors:
Sung-Il Chien;Il Choi
Affiliations:
-;-
Venue:
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Year:
2000

Citing 7
Cited 0

Context-free attentional operators: the generalized symmetry transform

International Journal of Computer Vision - Special issue on qualitative vision
Probabilistic Visual Learning for Object Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
The local structure of space-variant images

Neural Networks
Face Recognition: Features Versus Templates

IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale Invariant Face Detection Method Using Higher-Order Local Autocorrelation Features Extracted from Log-Polar Image

FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
An FFT-based technique for translation, rotation, and scale-invariant image registration

IEEE Transactions on Image Processing
Face recognition/detection by probabilistic decision-based neural network

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new approach using a single log-polar face template has been adopted to locate a face and its landmarks in a face image with varying scale and rotation parameters. The log-polar mapping which simulates space-variant human visual system converts scale change and rotation of input image into constant horizontal and cyclic vertical shift in the log-polar plane. The intelligent use of this property allows the proposed method to eliminate the need of using multiple templates to cover scale and rotation variations of faces and thus achieves efficient and reliable location of faces and facial landmarks.