The case of type IA of osteogenesis imperfecta tarda was described. Following results were presented: anamnesy, physical, ophthalmic and ORL examinations, laboratory findings, radiological and densitometric data. Clinical characteristic and mentioned above examinations allowed to take the definitive diagnosis. Family data showed features of this disease in the next generations and should be a b...

In this paper we propose a biometric face recognition system based on local features. Informative feature locations in the face image are located by Gabor filters, which gives us an automatic system that is not dependent on accurate detection of facial features. The feature locations are typically located at positions with high information content (such as facial features), and at each of these...

A Health Technology Assessment (HTA) was conducted in 2011 to evaluate whether transnasal oesophagoscopy (TNE) should be made available at otorhinolaryngology (ORL) clinics in the Ministry of Health facilities. The safety, efficacy or effectiveness and economic implication of using transnasal oesophagoscopy (TNE) were reviewed. This review provides a summary of the HTA and an updated literature...

Real-time robotic applications encounter the robot on board resources’ limitations. The speed of face recognition can be improved by incorporating cloud technology. However, transmission data to servers exposes security and privacy attacks. Therefore, encryption algorithms need set up. This paper aims study performance potential their impact deep-learning-based task’s accuracy. To this end, exp...

688 Abstract—Principal Component Analysis (PCA) is a statistical technique used for dimension reduction and recognition, & widely used for facial feature extraction and recognition. In this paper a cluster based SPCA face recognition method has been proposed. Experiments based on ORL face database have performed to compare the recognition rate between tradition PCA, Advanced principal component...

This paper reports recent work at ORL on segmentation of digital audio/video recordings. Firstly, we describe an audio segmentation algorithm that partitions a soundtrack into manageably sized segments for speech recognition. Secondly, we present an algorithm for detecting camera shot-break locations in the video. The output of these two algorithms is combined to produce a semantically meaningf...

This paper introduces a method for the recognition of human faces in 2-Dimensional digital images using a new Hybrid Learning Algorithm (HLA) for Radial Basis Function (RBF) neural network as classifier and Pseudo Zernike Moment Invariant (PZMI) as face feature. Also we evaluate the effect of orders of The PZMI on recognition rate, in the proposed technique. Simulation has been carried out on t...

Face recognition is an important _eld of pattern recognition. Rough set theory used to extract the face from an image, by computing object lower approximation array according to gray level value. Fisher's Linear Discriminant Analysis,(FLDA), was used for feature extraction and dimensionality reduction. In the proposed methods Object similarity ratio and Euclidean distance were used for classi_c...