Face features detection and representation by morphological reconstruction and linking
| Autor: | Fazhen Yi, Zhenshen Qu, Xin Feng |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Pixel
business.industry Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Representation (systemics) Pattern recognition Iterative reconstruction Facial recognition system Object detection Edge detection Face (geometry) Computer vision Artificial intelligence business |
| Zdroj: | 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics. |
| DOI: | 10.1109/isscaa.2008.4776184 |
| Popis: | In this paper, we try to address the low level image features detection and representation problem under various illuminations and in various backgrounds. We use multiple thresholds iteratively get a proper threshold value. The results of detection may have disconnected lines, or edges, or boundaries. We use morphological reconstruction and edge linking algorithm to rebuild the edge and connect the disconnected boundaries. Also, we use a set of straight line to approximate the contours or boundaries of the face features, which can simplify the representation of these features. Experiments on human face images show that the results are good. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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