LEADER 03769nam 22006015 450 001 9910855388503321 005 20251210154720.0 010 $a9789811976032 024 7 $a10.1007/978-981-19-7603-2 035 $a(CKB)31801752200041 035 $a(MiAaPQ)EBC31308615 035 $a(Au-PeEL)EBL31308615 035 $a(DE-He213)978-981-19-7603-2 035 $a(EXLCZ)9931801752200041 100 $a20240426d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a3D Computer Vision $eFoundations and Advanced Methodologies /$fby Yu-Jin Zhang 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (479 pages) 311 08$a9789811976025 320 $aIncludes bibliographical references and index. 327 $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. 330 $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. 606 $aComputer vision 606 $aImage processing$xDigital techniques 606 $aImage processing 606 $aComputer Vision 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aImage Processing 606 $aVisió per ordinador$2thub 606 $aProcessament digital d'imatges$2thub 608 $aLlibres electrònics$2thub 615 0$aComputer vision. 615 0$aImage processing$xDigital techniques. 615 0$aImage processing. 615 14$aComputer Vision. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aImage Processing. 615 7$aVisió per ordinador 615 7$aProcessament digital d'imatges 676 $a006.37 700 $aZhang$b Yu-Jin$f1954-$01217115 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910855388503321 996 $a3D Computer Vision$94261498 997 $aUNINA