Titre : |
3-D computer vision : principles, algorithms and applications |
Type de document : |
texte imprimé |
Auteurs : |
Yu-Jin Zhang, Auteur |
Editeur : |
Springer Nature |
Année de publication : |
2023 |
Importance : |
XIII, 448 p. |
Présentation : |
ill. |
Format : |
24 cm |
ISBN/ISSN/EAN : |
978-981-19757-9-0 |
Note générale : |
Réf. Bibliogr. en fin de chapitres. - Index |
Langues : |
Anglais (eng) |
Mots-clés : |
Computer vision
Image processing -- Digital techniques |
Index. décimale : |
004.932 Traitement de l'image |
Résumé : |
This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, "Computer Vision: Principles, Algorithms and Applications", including the basic principles, typical methods and practical techniques. It is intended for graduate courses on related topics, e.g. Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, etc. The book is mainly based on my lecture notes for several undergraduate and graduate classes I have offered over the past several years, while a number of topics stem from my research publications co-authored with my students. This book takes into account the needs of learners with various professional backgrounds, as well as those of self-learners. Furthermore, it can be used as a reference guide for practitioners and professionals in related fields. To aid in comprehension, the book includes a wealth of self-test questions (with hints and answers). On the one hand, these questions help teachers to carry out online teaching and interact with students during lectures; on the other, self-learners can use them to assess whether they have grasped the key content. |
Note de contenu : |
Summary :
1. Computer vision overview
2. Camera Calibration3. 3-D Image Acquisition
4. Video and Motion Information.-
5. Moving Object Detection and Tracking
6. Binocular Stereo Vision
7. Monocular Multiple Image Reconstruction
Chapter 8. Monocular Single Image Reconstruction
9. 3-D Scene Representation
10. Scene Matching
11. Knowledge and Scene Interpretation
12. Spatial-Temporal Behavior Understanding |
3-D computer vision : principles, algorithms and applications [texte imprimé] / Yu-Jin Zhang, Auteur . - Springer Nature, 2023 . - XIII, 448 p. : ill. ; 24 cm. ISBN : 978-981-19757-9-0 Réf. Bibliogr. en fin de chapitres. - Index Langues : Anglais ( eng)
Mots-clés : |
Computer vision
Image processing -- Digital techniques |
Index. décimale : |
004.932 Traitement de l'image |
Résumé : |
This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, "Computer Vision: Principles, Algorithms and Applications", including the basic principles, typical methods and practical techniques. It is intended for graduate courses on related topics, e.g. Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, etc. The book is mainly based on my lecture notes for several undergraduate and graduate classes I have offered over the past several years, while a number of topics stem from my research publications co-authored with my students. This book takes into account the needs of learners with various professional backgrounds, as well as those of self-learners. Furthermore, it can be used as a reference guide for practitioners and professionals in related fields. To aid in comprehension, the book includes a wealth of self-test questions (with hints and answers). On the one hand, these questions help teachers to carry out online teaching and interact with students during lectures; on the other, self-learners can use them to assess whether they have grasped the key content. |
Note de contenu : |
Summary :
1. Computer vision overview
2. Camera Calibration3. 3-D Image Acquisition
4. Video and Motion Information.-
5. Moving Object Detection and Tracking
6. Binocular Stereo Vision
7. Monocular Multiple Image Reconstruction
Chapter 8. Monocular Single Image Reconstruction
9. 3-D Scene Representation
10. Scene Matching
11. Knowledge and Scene Interpretation
12. Spatial-Temporal Behavior Understanding |
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