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Books > Computing & IT > Applications of computing > Image processing

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Introduction to Visual SLAM - From Theory to Practice (Hardcover, 1st ed. 2021) Loot Price: R4,340
Discovery Miles 43 400
Introduction to Visual SLAM - From Theory to Practice (Hardcover, 1st ed. 2021): Xiang Gao, Tao Zhang

Introduction to Visual SLAM - From Theory to Practice (Hardcover, 1st ed. 2021)

Xiang Gao, Tao Zhang

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Loot Price R4,340 Discovery Miles 43 400 | Repayment Terms: R407 pm x 12*

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This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge such as 3D rigid body geometry, the pinhole camera projection model, and nonlinear optimization techniques, before introducing readers to traditional computer vision topics like feature matching, optical flow, and bundle adjustment. The book employs a light writing style, instead of the rigorous yet dry approach that is common in academic literature. In addition, it includes a wealth of executable source code with increasing difficulty to help readers understand and use the practical techniques. The book can be used as a textbook for senior undergraduate or graduate students, or as reference material for researchers and engineers in related areas.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Release date: September 2021
First published: 2021
Authors: Xiang Gao • Tao Zhang
Dimensions: 235 x 155 x 30mm (L x W x T)
Format: Hardcover
Pages: 376
Edition: 1st ed. 2021
ISBN-13: 978-981-16-4938-7
Languages: English
Subtitles: Chinese
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Image processing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 981-16-4938-3
Barcode: 9789811649387

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