Transferable belief model for hair mask segmentation

Autor: P.-Y. Coulon, M. Rombaut, C. Rousset
Přispěvatelé: Rousset, Cedric, Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), GIPSA - Architecture, Géométrie, Perception, Images, Gestes (GIPSA-AGPIG), Département Images et Signal (GIPSA-DIS), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2010
Předmět:
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Transferable belief model
GeneralLiterature_MISCELLANEOUS
Hair segmentation
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Transferable Belief Model
0202 electrical engineering
electronic engineering
information engineering

Segmentation
Computer vision
Mathematics
ComputingMethodologies_COMPUTERGRAPHICS
[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Pixel
business.industry
Basic belief
Process (computing)
020207 software engineering
Pattern recognition
Image segmentation
Sensor fusion
Data Fusion
Face (geometry)
020201 artificial intelligence & image processing
Artificial intelligence
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Zdroj: ICIP 2010-17th IEEE International Conference on Image Processing
ICIP 2010-17th IEEE International Conference on Image Processing, Sep 2010, Hong Kong, Hong Kong SAR China. pp.n.c
ICIP
Popis: 4 pages; International audience; In this paper, we present a study of transferable belief model for automatic hair segmentation process. Firstly, we recall the transferable Belief Model. Secondly, we defined for the parameters which characterize hair (Frequency and Color) a Basic Belief assignment which represents the belief that a pixel was or not a hair pixel. Then we introduce a discounting function based on the distance to the face to increase the reliability of our sensors. At the end of this process, we segment the hair with a matting process. We compare the process with the logical fusion. Results are evaluated using semi-manual segmentation references
Databáze: OpenAIRE