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		Computer Vision Using Local Binary Patterns par Pietikäinen, Matti Publication : . xv, 207 pages 25 cm. Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (2), Réserver Ajouter au panier (Supprimer)
		Motion-based recognition Publication : [S.l.] Springer 2010 . 387 p. , Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Performance characterization in computer vision Publication : Dordrecht Kluwer Academic Publishers 2000 . 317 p. , This book addresses a subject which has been discussed intensively in the computer vision community for several years. Performance characterization and evaluation of computer vision algorithms are of key importance, particularly with respect to the configuration of reliable and robust computer vision systems as well as the dissemination of reconfigurable systems in novel application domains. The objective of this volume is to provide a scientific foundation for performance characterization of computer vision methods, to give an overview of methodologies of comparative assessment of algorithms and to present evaluation approaches for a variety of computer vision applications. This volume comprises six parts: general issues; methodological aspects; statistical aspects; comparative studies; selected methods and algorithms; and finally a domain-specific part on evaluation in medical imaging. Audience: This book can be read by both specialists and graduate students in computer science and electrical engineering who take an interest in computer vision, image processing, and algorithms. 23 cm. Date : 2000 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Robust computer vision : theory and applications par Sebe, N. Publication : [S.l.] Springer 2010 . 215 p. , From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on research by the authors and their collaborators, are presented. Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision." 23 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Image and Video-Based Artistic Stylisation Publication : . XII, 399 p. 217 illus., 158 illus. in color. Disponibilité : http://dx.doi.org/10.1007/978-1-4471-4519-6, Ajouter au panier (Supprimer)

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