Bibliothèque de L'IMIST/CNRST

Votre panier est vide.
IMIST


Affiner votre recherche

Votre recherche a retourné 228 résultats.

Advances in Digital Image Processing and Information Technology First International Conference on Digital Image Processing and Pattern Recognition, DPPR 2011, Tirunelveli, Tamil Nadu, India, September 23-25, 2011. Proceedings / par Nagamalai, Dhinaharan. Publication : Berlin, Heidelberg : Springer Berlin Heidelberg : | Springer e-books : | Imprint: Springer : | Springer e-books, 2011 . 1 online resource. Date : 2011 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Réserver Ajouter au panier
Boosting-based face detection and adaptation par Zhang,, Cha. Publication : [S.l.] Morgan and Claypool Publishers 2010 . 140 p. , Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we review various approaches to face detection developed in the past decade, with more emphasis on boosting-based learning algorithms. We then present a series of algorithms that are empowered by the statistical view of boosting and the concept of multiple instance learning. We start by describing a boosting learning framework that is capable to handle billions of training examples. It differs from traditional bootstrapping schemes in that no intermediate thresholds need to be set during training, yet the total number of negative examples used for feature selection remains constant and focused (on the poor performing ones). A multiple instance pruning scheme is then adopted to set the intermediate thresholds after boosting learning. This algorithm generates detectors that are both fast and accurate. Table of Contents: A Brief Survey of the Face Detection Literature / Cascade-based Real-Time Face Detection / Multiple Instance Learning for Face Detection / Detector Adaptation / Other Applications / Conclusions and Future Work. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Réserver Ajouter au panier
Machine learning for vision-based motion analysis : theory and techniques   Publication : [S.l.] Springer 2010 . 384 p. , Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions. Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets. Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Réserver Ajouter au panier
Vision with direction : a systematic introduction to image processing and computer vision par Bigun, Josef. Publication : [S.l.] Springer 2010 . 396 p. , This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent way. For the first time in a textbook on image processing, single direction, group direction, corners and edges, Hough transform, and motion estimation are developed in a principled way using direction tensors as the unifying concept. The topics presented include Hilbert spaces, the Fourier transform, scale analysis, direction fields, structure tensors, motion tensors, the Hough transform, grouping, and segmentation. Directional signal processing, an increasingly crucial element of computer vision for which neural circuits exist in human vision, is dealt with in depth by use of tensors. All chapters are richly illustrated, with color graphics from cover to cover; applications are studied in various fields, including biometric person authentication, texture analysis, optical character recognition, and motion estimation and tracking; and exercises help the sudent verify progress. Developed out of courses given by the author, this introductory textbook addresses advanced undergarduates as well as master and PhD students in computer science, engineering, mathematics, and in other disciplines where techniques from computer vision, image processing, visual computation and signal analysis are applied. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Réserver Ajouter au panier
Computer Vision Metrics Survey, Taxonomy, and Analysis / par Krig, Scott. Publication : . XXXI, 508 p. 216 illus. Disponibilité :  http://dx.doi.org/10.1007/978-1-4302-5930-5,

Ajouter au panier
3D Computer Vision Efficient Methods and Applications / par Wöhler, Christian. Publication : . XVIII, 382 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4150-1,

Ajouter au panier
Crowd Simulation par Thalmann, Daniel. Publication : . XV, 296 p. 175 illus., 147 illus. in color. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4450-2,

Ajouter au panier
Embedded Multimedia Security Systems Algorithms and Architectures / par Pande, Amit. Publication : . XVIII, 146 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4459-5,

Ajouter au panier
Imaging Spectroscopy for Scene Analysis par Robles-Kelly, Antonio. Publication : . XVIII, 270 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4652-0,

Ajouter au panier
Time-of-Flight Cameras Principles, Methods and Applications / par Hansard, Miles. Publication : . X, 96 p. 55 illus., 19 illus. in color. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4658-2,

Ajouter au panier
Visual Texture Accurate Material Appearance Measurement, Representation and Modeling / par Haindl, Michal. Publication : . XXXI, 284 p. 158 illus., 148 illus. in color. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4902-6,

Ajouter au panier
Efficient Algorithms for Discrete Wavelet Transform With Applications to Denoising and Fuzzy Inference Systems / par Shukla, K. K. Publication : . IX, 91 p. 46 illus., 31 illus. in color. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4941-5,

Ajouter au panier
Omnidirectional Vision Systems Calibration, Feature Extraction and 3D Information / par Puig, Luis. Publication : . XI, 122 p. 68 illus., 35 illus. in color. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4947-7,

Ajouter au panier
Introduction to Image Processing Using R Learning by Examples / par Frery, Alejandro C. Publication : . XV, 87 p. 42 illus., 17 illus. in color. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4950-7,

Ajouter au panier
Vous ne trouvez pas ce que vous cherchez ?
© Tous droits résérvés IMIST/CNRST
Angle Av. Allal Al Fassi et Av. des FAR, Hay Ryad, BP 8027, 10102 Rabat, Maroc
Tél:(+212) 05 37.56.98.00
CNRST / IMIST

Propulsé par Koha