Soft Biometrics: Globally Coherent Solutions for Hair Segmentation ...
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Mar 9, 2017 · Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs. Abstract: Markov Random ...
Abstract—Markov Random Fields (MRFs) are a popular tool in many computer vision problems and faithfully model a broad range of local dependencies.
In [135] , a multi-layered (hierarchical) MRF for facial hair style analysis was utilized. This MRF model does not use high order cliques but still reaches ...
Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition based on Hierarchical MRFs. Author: Proença, H. Neves, Joao. Keywords ...
Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition based on Hierarchical MRFs ... Soft Biometrics Visual Surveillance
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... Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition based on Hierarchical MRFs}, year={2017}, month={March}, volume={0 ...
Hair segmentation is challenging due to ... Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs.
Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs ... In the field of soft biometrics, the hair ...
19, 2014. Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs. H Proença, JC Neves. IEEE ...
Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs · hmtl icon · Hugo Proença, João C. Neves.