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024 7 _a10.1007/978-981-19-7603-2
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100 1 _aZhang, Yu-Jin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9101081
245 1 0 _a3D Computer Vision
_h[electronic resource] :
_bFoundations and Advanced Methodologies /
_cby Yu-Jin Zhang.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVI, 469 p. 218 illus., 178 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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505 0 _aChapter 1 Introduction -- Chapter 2 Camera Imaging and Calibration -- Chapter 3 Depth Image Acquisition -- Chapter 4 Binocular Stereo Vision -- Chapter 5 Multi-Ocular Stereo Vision -- Chapter 6 Monocular Multi-Image Scene Restoration -- Chapter 7 Monocular Single-Image Scene Restoration -- Chapter 8 Point Cloud Data Processing -- Chapter 9 Simultaneous Location and Mapping -- Chapter 10 Generalized Matching -- Chapter 11 Understanding of Spatial-Temporal Behavior.
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 approach allows 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 0 _aComputer vision.
_9101084
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aImage processing.
_97417
650 1 4 _aComputer Vision.
_9101086
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aImage Processing.
_97417
710 2 _aSpringerLink (Online service)
_9101089
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811976025
776 0 8 _iPrinted edition:
_z9789811976049
776 0 8 _iPrinted edition:
_z9789811976056
856 4 0 _uhttps://doi.org/10.1007/978-981-19-7603-2
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