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.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | PK Kelkar Library, IIT Kanpur | In Acquisition | 621.384 G159i (Browse shelf) | Checked out to Salil Goel (E0587600) | 03/02/2025 | A185862 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: In Acquisition Close shelf browser
530.12 Sch28q2 Quantum mechanics [2nd ed.] | 530.13 D735s2 Statistical mechanics [2nd ed.] | 531 K959c Classical mechanics | 621.384 G159i Introduction to visual SLAM | 625.122 F95r Rock mechanics and engineering | 630 Su82 cop.1 Sustainable agriculture and the environment | 630 Su82 cop.2 Sustainable agriculture and the environment |
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.