English | 2024 | PDF | 38 MB | 478 Pages
by Yu-Jin Zhang
This
book offers a comprehensive and unbiased introduction to 3D Computer
Vision, ranging from its foundations and essential principles to
advanced methodologies and technologies. Divided into 11 chapters, it
covers the main workflow of 3D computer vision as follows: camera
imaging and calibration models; various modes and means of 3D image
acquisition; binocular, trinocular and multi-ocular stereo vision
matching techniques; monocular single-image and multi-image scene
restoration methods; point cloud data processing and modeling;
simultaneous location and mapping; generalized image and scene matching;
and understanding spatial-temporal behavior.
Each
topic is addressed in a uniform manner: the dedicated chapter first
covers the essential concepts and basic principles before presenting a
selection of typical, specific methods and practical techniques. In
turn, it introduces readers to the most important recent developments,
especially in the last three years. This approachallows them to quickly
familiarize themselves with the subject, implement the techniques
discussed, and design or improve their own methods for specific
applications. The book can be used as a textbook for graduate courses in
computer science, computer engineering, electrical engineering, data
science, and related subjects. It also offers a valuable reference guide
for researchers and practitioners alike.
ISBNs: B0CTZMJV2V, B0BFW9F1LM, 9811976023, 9811976031, 9789811976025, 9789811976032, 978-9811976025, 978-9811976032
