6th International Conference on Signal Image Processing and Multimedia (SIPM 2018)
May 26~27, 2018, Dubai, UAE
4D AUTOMATIC LIP-READING FOR SPEAKER'S FACE IDENTIFCATION
Adil AbdUlhur AboShana1 1University of eotvos lorand ,Budapest ,Hungary
A novel based a trajectory-guided, concatenating approach for synthesizing high-quality image real sample renders video is proposed .
The lips reading automated is seeking for modeled the closest real image sample sequence preserve in the library under the data video
to the HMM predicted trajectory. The object trajectory is modeled obtained by projecting the face patterns into an KDA feature space is estimated.
The approach for speaker's face identification by using synthesise the identity surface of a subject face from a small sample of patterns which
sparsely each the view sphere. An KDA algorithm use to the Lip-reading image is discrimination, after that work consisted of in the low dimensional
for the fundamental lip features vector is reduced by using the 2D-DCT.The mouth of the set area dimensionality is ordered by a normally reduction
base on the PCA to obtain the Eigenlips approach, their proposed approach by. The subjective performance results of the cost function under the
automatic lips reading modeled , which wasn't illustrate the superior performance of the method.
ANALYSIS OF LAND SURFACE DEFORMATION GRADIENT BY DINSAR
Karima Hadj-Rabah1, Faiza Hocine1 ,Sawsen Belhadj-Aissa1 and Aichouche Belhadj-Aissa11 1Houari Boumediene (USTHB), Algiers, Algeria
The progressive development of Synthetic Aperture Radar (SAR) systems diversify the exploitation of the generated images by these systems in different
applications of geoscience. Detection and monitoring surface deformations, procreated by various phenomena had benefited from this evolution and had been
realized by interferometry (InSAR) and differential interferometry (DInSAR) techniques. Nevertheless, spatial and temporal decorrelations of the interferometric
couples used, limit strongly the precision of analysis results by these techniques. In this context, we propose, in this work, a methodological approach of
surface deformation detection and analysis by differential interferograms to show the limits of this technique according to noise quality and level. The detectability
model is generated from the deformation signatures, by simulating a linear fault merged to the images couples of ERS1 / ERS2 sensors acquired in a region of the