An Efficient Face Tracker Using Active Shape Model
| Autor: | S. K. Murugaraja, K Balamurali |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Logarithm
Computer science Facial motion capture business.industry Feature vector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Tracking (particle physics) Dimension (vector space) Feature (computer vision) Face (geometry) Active shape model Computer vision Artificial intelligence business |
| Zdroj: | IOSR Journal of Computer Engineering. 16:91-96 |
| ISSN: | 2278-0661 2278-8727 |
| DOI: | 10.9790/0661-16259196 |
| Popis: | To perform tracking in an illumination insensitive feature space, called the gradient logarithm field (GLF) feature space. The GLF feature mainly depends on the intrinsic characteristics of a face and is only marginally affected by the lighting source. The GLF feature is a global feature and does not depend on a specific face model, and thus is effective in tracking low-resolution faces. By using the GLF face tracking system, the modified image like editing image did not recognition. To overcome this problem, we propose, to find the original image of the editable image by using the outline dimension of the image. To recognition original face from the modified face, we track the inclusive(complete) region of the face. The Active Shape Model is used to recover the shape of the face and then find the face after comparing the faces. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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