Automatic Face Segmentation and Facial Landmark Detection in Range Images
Autor: | Mauricio Pamplona Segundo, Olga Regina Pereira Bellon, Luciano Silva, Chauã C. Queirolo |
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Rok vydání: | 2010 |
Předmět: |
Biometry
Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Curvature Facial recognition system Edge detection Pattern Recognition Automated Object-class detection Imaging Three-Dimensional Artificial Intelligence Image Interpretation Computer-Assisted Humans Three-dimensional face recognition Segmentation Computer vision Electrical and Electronic Engineering Face detection Facial expression Landmark business.industry Pattern recognition General Medicine Image segmentation Face Recognition Grand Challenge Computer Science Applications Human-Computer Interaction Control and Systems Engineering Face Artificial intelligence business Algorithms Software Information Systems Shape analysis (digital geometry) |
Zdroj: | IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). 40:1319-1330 |
ISSN: | 1941-0492 1083-4419 |
Popis: | We present a methodology for face segmentation and facial landmark detection in range images. Our goal was to develop an automatic process to be embedded in a face recognition system using only depth information as input. To this end, our segmentation approach combines edge detection, region clustering, and shape analysis to extract the face region, and our landmark detection approach combines surface curvature information and depth relief curves to find the nose and eye landmarks. The experiments were performed using the two available versions of the Face Recognition Grand Challenge database and the BU-3DFE database, in order to validate our proposed methodology and its advantages for 3-D face recognition purposes. We present an analysis regarding the accuracy of our segmentation and landmark detection approaches. Our results were better compared to state-of-the-art works published in the literature. We also performed an evaluation regarding the influence of the segmentation process in our 3-D face recognition system and analyzed the improvements obtained when applying landmark-based techniques to deal with facial expressions. |
Databáze: | OpenAIRE |
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