Camelia Florea

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Many existing works in face recognition are based solely on visible images. The use of bimodal systems based on visible and thermal images is seldom reported in face recognition, despite its advantage of combining the discriminative power of both modalities, under expressions or pose variations. In this paper, we investigate the combined advantages of(More)
Liver segmentation from computer tomography scans is a topic of research interest, as the acquisition and inter-patient variability make the automatic segmentation difficult. The current trend is to improve the accuracy and to reduce the computational complexity of the segmentation, as this is essential for the diagnostic and for 3D rendering. We propose a(More)
This paper introduces the vanishing points to self-calibrate a structured light system. The vanishing points permit to automatically remove the projector’s keystone effect and then to self-calibrate the projector–camera system. The calibration object is a simple planar surface such as a white paper. Complex patterns and 3D calibrated objects are not(More)
Medical volume segmentation in various imaging modalities using real 3D approaches (in contrast to sliceby-slice segmentation) represents an actual trend. The increase in the acquisition resolution leads to large amount of data, requiring solutions to reduce the dimensionality of the segmentation problem. In this context, the real-time interaction with the(More)
The development of computer-aided solutions able to suggest the right facial makeup is a recent trend in image analysis applications, from which both amateurs and professionals could benefit significantly. The global harmony of a person is highly valuable when choosing makeup colors to make a person looking lovely. The global harmony is evaluated taking(More)
Water resource management evaluation and planning is an important issue in the context of natural resources management, as it impacts the society, environment, ecology and economy. In the context of the information society, the development of comprehensive decision support components, with the capability of displaying the results of data processing in a(More)
Sparse representations provide a powerful framework for various image processing tasks, among which image recovery seems to be an already classical application. While most developments of image recovery applications are focused on finding the best dictionary, the possibility of using already existing sparse image representations tends to be ignored. This is(More)
This paper deals with the calibration of a stereo configuration using two different approaches: a classic perspective projection model and a novel model using fuzzy systems. The two models are mathematically formulated, are calibrated using synthetic data and eventually are compared according to several criteria. The advantages and disadvantages of each(More)
In this paper we present a fast and accurate solution for skin segmentation of facial images in the JPEG compressed domain, in order to classify faces for further cosmetics applications. Within the increasing of image resolution in the past few years, the requirements for large storage space and fast processing (as developments directly in the compressed(More)