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. Â 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. Â 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. Â
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Release date: |
September 2023 |
First published: |
2023 |
Authors: |
Andrea Fusiello
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
442 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-134506-7 |
Subtitles: |
Italian
|
Categories: |
Books
|
LSN: |
3-03-134506-1 |
Barcode: |
9783031345067 |
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