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1. |
Record Nr. |
UNINA9910823097903321 |
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Autore |
Grégoire Jacques |
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Titolo |
L'examen clinique de l'intelligence de l'enfant : fondements et pratique du WISC-V / / Jacques Grégoire |
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Pubbl/distr/stampa |
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Bruxelles, Belgique : , : Mardaga supérieur, , [2019] |
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©2019 |
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ISBN |
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Descrizione fisica |
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1 online resource (248 pages) |
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Collana |
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PSY--évaluation, mesure, diagnostic |
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Disciplina |
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Soggetti |
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Wechsler Intelligence Scale for Children |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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L'échelle d'intelligence de Wechsler pour les enfants (WISC) est à l'heure actuelle le test d'intelligence le plus largement utilisé par les psychologues francophones. Le professeur Jacques Grégoire a été le premier à proposer un ouvrage de base en français consacré à ce test, rapidement devenu une référence utilisée par les formateurs et les praticiens. Aujourd'hui, il nous offre un ouvrage sur la nouvelle version de ce test, dénommée WISC-V. Membre du comité scientifique américain qui a supervisé le développement du WISC-V, il a également collaboré à son adaptation française, qu'il utilise dans sa propre pratique clinique. Ce livre présente une méthode rigoureuse d'interprétation des résultats au WISC-V, qui s'appuie sur une connaissance approfondie des bases théoriques et des propriétés métriques des scores obtenus au test. Elle permettra aux lecteurs praticiens d'assurer pleinement leur rôle d'interprètes des résultats et de tirer des protocoles du WISC-V un maximum d'informations pertinentes et utiles. |
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2. |
Record Nr. |
UNINA9910855388503321 |
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Autore |
Zhang Yu-Jin <1954-> |
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Titolo |
3D Computer Vision : Foundations and Advanced Methodologies / / by Yu-Jin Zhang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (479 pages) |
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Disciplina |
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Soggetti |
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Computer vision |
Image processing - Digital techniques |
Image processing |
Computer Vision |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Image Processing |
Visió per ordinador |
Processament digital d'imatges |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1 Introduction -- Chapter 2 Camera Imaging and Calibration -- Chapter 3 Depth Image Acquisition -- Chapter 4 Binocular Stereo Vision -- Chapter 5 Multi-Ocular Stereo Vision -- Chapter 6 Monocular Multi-Image Scene Restoration -- Chapter 7 Monocular Single-Image Scene Restoration -- Chapter 8 Point Cloud Data Processing -- Chapter 9 Simultaneous Location and Mapping -- Chapter 10 Generalized Matching -- Chapter 11 Understanding of Spatial-Temporal Behavior. |
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Sommario/riassunto |
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This book offers a comprehensive and unbiased introduction to 3D Computer Vision, ranging from its foundations and essential principles to advanced methodologies and technologies. Divided into 11 chapters, it covers the main workflow of 3D computer vision as follows: camera imaging and calibration models; various modes and means of 3D image acquisition; binocular, trinocular and multi-ocular stereo vision matching techniques; monocular single-image and multi-image scene |
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restoration methods; point cloud data processing and modeling; simultaneous location and mapping; generalized image and scene matching; and understanding spatial-temporal behavior. Each topic is addressed in a uniform manner: the dedicated chapter first covers the essential concepts and basic principles before presenting a selection of typical, specific methods and practical techniques. In turn, it introduces readers to the most important recent developments, especially in the last three years. This approach allows them to quickly familiarize themselves with the subject, implement the techniques discussed, and design or improve their own methods for specific applications. The book can be used as a textbook for graduate courses in computer science, computer engineering, electrical engineering, data science, and related subjects. It also offers a valuable reference guide for researchers and practitioners alike. |
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