Computer Vision: Three-dimensional Reconstruction Techniques

Name: Computer Vision: Three-dimensional Reconstruction Techniques
Brand: Springer, Berlin
SKU: 9783031345067
Price: 460.73 RON
Availability: InStock

Autor: Andrea Fusiello

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Legare: Copertă tare

Editura: Springer, Berlin

Disponibilitate: În depozitul extern

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460.73 lei

From facial recognition to self-driving cars, the applications of computer vision are vast and ever-...

Informații despre carte

Autor

Andrea Fusiello

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2023

Pagini

364

EAN

9783031345067

Enbook ID

43335955

Editura

Springer, Berlin

Greutate

684

Dimensiuni

155 x 235

Descriere completă

From facial recognition to self-driving cars, the applications of computer vision are vast and ever-expanding. Geometry plays a fundamental role in this discipline, providing the necessary mathematical framework to understand the underlying principles of how we perceive and interpret visual information in the world around us. This text explores the theories and computational techniques used to determine the geometric properties of solid objects through images. It covers the basic concepts and provides the necessary mathematical background for more advanced studies. The book is divided into clear and concise chapters covering a wide range of topics including image formation, camera models, feature detection and 3D reconstruction. Each chapter includes detailed explanations of the theory as well as practical examples to help the reader understand and apply the concepts presented. The book has been written with the intention of being used as a primary resource for students on university courses in computer vision, particularly final year undergraduate or postgraduate computer science or engineering courses. It is also useful for self-study and for those who, outside the academic field, find themselves applying computer vision to solve practical problems. The aim of the book is to strike a balance between the complexity of the theory and its practical applicability in terms of implementation. Rather than providing a comprehensive overview of the current state of the art, it offers a selection of specific methods with enough detail to enable the reader to implement them.

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