000			01859 a2200193 4500
003			OSt
020			_a9789811976025
040			_cIIT Kanpur
041			_aeng
082			_a006.6 _bZ61t
100			_aZhang, Yu-Jin
245			_a3D computer vision _bfoundations and advanced methodologies _cYu-Jin Zhang
260			_bSpringer _c2024 _aSingapore
300			_axvi, 469p
520			_aThis 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.
650			_aComputer vision
650			_a3D imaging
942			_cBK
999			_c567375 _d567375