6533b85afe1ef96bd12b8a75

RESEARCH PRODUCT

Sequential Lip Region Segmentation Using Fuzzy Clustering with Spatial and Temporal Information

Nicolas MachabertShi-lin Wang

subject

AuthenticationSequenceFuzzy clusteringComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationPattern recognitionMeasure (mathematics)ComputingMethodologies_PATTERNRECOGNITIONSegmentationArtificial intelligencebusinessTemporal information

description

For many visual speech recognition and visual speaker authentication systems, lip region extraction is of vital important. In order to segment the lip region accurately and robustly from a lip sequence, a new fuzzy-clustering based algorithm is proposed. In the proposed method, a new dissimilarity measure is introduced to take all the color, spatial and temporal information into consideration. An iterative optimization method is employed to derive the optimal lip region membership map and the final segmentation result. From the experimental results, it is observed that the proposed algorithm can provide superior results compared with other traditional methods.

yearjournalcountryeditionlanguage
2012-01-01
https://doi.org/10.1007/978-3-642-25792-6_66