1,721,074 research outputs found

    Automatic 3D facial fitting for tracking in video sequence

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    This chapter presents the 3D face model initialization procedure. The major contribution is the innovative coarse-to-fine 3D initialization strategy proposed that deals with common problems of errors in feature selection process and with a lack of features points. The proposed approach is based over 3D deformable tracking system.We also propose a deep adaptation strategy while tracking for dealing with difference between real face mesh and the model ones. The 3D refinement proposed (also the deep one) are robust to initial light situation and expression

    Tracking based face identification : away to manage occlusions, and illumination, posture and expression changes

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    This paper presents a method for face identification using an eigenfaces approach. Our technique is suitable for use within Ambient Security Environments and is robust across variations in pose, expression and illuminations conditions. To account for these variations, we use a face template matching algorithm based on a 3D head model. Thanks to our tracking-based approach our algorithm is able to extract simultaneously all parameters related to the face expression and to the 3D posture. With these estimates, we are able to reconstruct a frontal, neutral and normalized image on which an eigenface classification for identification is performed

    Un repository per l'Egyptian Italian mission at West Aswan (EIMAWA)

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    The EIMAWA Mission is made up of a multidisciplinary team that includes, in addition to egyptologists, the presence of experts from disciplines such as geomatics, forensic anthropology and radiology, but also archaeozoology, archaeobotany, chemistry and restoration, etc. Each excavation campaign ends with a huge mass of technical documentation that includes heterogeneous materials formulated by many different rese- archers. Precisely this heterogeneity of information has generated the need to adopt a centralized repository that would allow the management and extraction of knowledge from the data acquired during the excava- tions. For the organization, sharing and subsequent study a collaborative platform was modeled, thanks to the help of the IT experts of the mission created with open source software tools, which allows the storage and processing of the aforementioned data

    Accurate 3D model based face tracking for facial expression recognition

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    The recovery of the 3-D movement of the face is an important operation for many applications like human machine interaction, video surveillance, MPEG-4 compression etc. This paper presents a method to obtain from a video input, a normalized face in a frontal pose, by recovering the fullmotion of the head using 3D head model. From some characteristic face points given on the first frame, an approximated 3D model of the face is reconstructed. Using this model, the full motion of the head is computed automatically. Evidently, in order to compensate errors due to the rough 3D model, a combination of several techniques has been used to reach a strong robustness. The algorithm has been tested on synthetic videos and it has been compared with a standard multi-camera system for the 3D tracking (Elite 2002 System). The results in both cases are good. The proposed approach is part of a facial expression analysis system. Our aim is to detect the facial expression in situations characterized by a moderate head motion. For this reason head motion recovering is fundamental. Once recovered the pose, we are able to obtain frontal normalized facial image that makes expression analysis easier

    Upper-face expression features extraction system for video sequences

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    Nowadays there are not any reliable systems able to codify a video streaming according to the FACS. The few system that are able to do it works on frontal, or however not natural postures. The system we propose, takes advantage from a robust 3D tracking based on a 3D template, in order to extract some features correlated to the facial expressions. Moreover, this system provides for each feature a reliability level according to the presence of some occlusions, or due to some errors in tracking that could hide or make the reconstruction on the template, become critical

    CR2S : competency roadmap to strategy

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    It is well acknowledged that human resource is one of the most important asset of a company. Competency Management is a well established approach for organizing recruitment and workforce training and development. But CM is more an more moving towards the integration into business and knowledge management frameworks having a crucial role in re-engineer, with competencies that account for the highest performance variance, determining the return-on-investment or economic value of competency initiatives, implementing organizational transformation and change strategies. Our approach, taking inspiration from Technology Roadmaps, proposes an integrated model for planning and coordinating organizations

    Advanced localization of mobile terminal in cellular network

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    The growing diffusion of pervasive collaboration environments and technical advancement of sensing technologies have fostered the development of a new wave of online services whose functionalities are based on users’ physical position. Thanks to the widespread diffusion of mobile devices (e.g. cell phones), many services can be greatly enriched with data reporting where people are, how they are moving, or whether they are close by specific locations. Geolocation of mobile terminals relies on the cellular network infrastructure and protocols to provide a reliable and accurate estimate of mobile terminals’ position, without the need of global positioning systems, such as GPS. In this paper, we present a novel lookup table correlation technique for geolocation, with multiple position estimations and optimal location techniques. Our approach provides high precise location and tracking of mobile terminals by exploiting advanced propagation models for mobile radio networks design, and by querying Geographical Information Systems (GIS), in conjunction with Kalman predictive filtering

    Fuzzy weighted approach to improve visual quality of edge-based filtering

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    A new algorithm for the deinterlacing of interlaced scanned video sequences is presented in this paper. The ultimate goal of the proposed algorithm is to exactly determine the unknown pixel value while preserving the edges and details of the image. Traditional edge direction-based interpolation algorithms usually introduce artifacts in the case of non-clear edges. In order to solve the above issues, we adopted fuzzy concepts to design a weight-evaluating technique. The weights were considered to be multiplied by the candidate deinterlaced pixels. Experimental results demonstrated that the resulting frames contained less errors and sharper edges than frames generated using common approaches such as median filtering and edge direction-based linear interpolation
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