Welcome to P K Kelkar Library, Online Public Access Catalogue (OPAC)

Normal view MARC view ISBD view

Introduction to visual SLAM : from theory to practice

By: Gao, Xiang.
Contributor(s): Zhang, Tao.
Publisher: Singapore Springer 2021Description: xxii, 376p.ISBN: 9789811649387.Subject(s): Sensor networks | Wireless localization | Computer visionDDC classification: 621.384 | G159i Summary: 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.
List(s) this item appears in: New arrival July 11 to 17, 2022
    average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode Item holds
Books Books PK Kelkar Library, IIT Kanpur
In Acquisition 621.384 G159i (Browse shelf) Checked out to Salil Goel (E0587600) 09/08/2024 A185862
Total holds: 0

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.

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha