LEADER 00864nam0-22003131i-450- 001 990003736270403321 005 20001010 010 $a0691058830 035 $a000373627 035 $aFED01000373627 035 $a(Aleph)000373627FED01 035 $a000373627 100 $a20000920d1998----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aWork and welfare$fR. Solomon , G. Himmelfarb, A. Lewis, G. Louri, J. Roemer 210 $aPrinceton$cPrinceton university press$d1998 215 $a100p.$d22cm 702 1$aHimmelfarb,$bGertrude 702 1$aLewis Antony 702 1$aloury Glenn C.$aroemer John E. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003736270403321 952 $aJ2-J6.147$b8015$fDECTS 959 $aDECTS 996 $aWork and Welfare$9448710 997 $aUNINA DB $aING01 LEADER 03461nam 22005895 450 001 9911031627803321 005 20251010131503.0 010 $a981-9673-44-5 024 7 $a10.1007/978-981-96-7344-5 035 $a(MiAaPQ)EBC32337170 035 $a(Au-PeEL)EBL32337170 035 $a(CKB)41597651000041 035 $a(DE-He213)978-981-96-7344-5 035 $a(EXLCZ)9941597651000041 100 $a20251010d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeometry Fundamentals of Computer Vision /$fby Hao Li 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (589 pages) 225 1 $aArtificial Intelligence (R0) Series 311 08$a981-9673-43-7 327 $aIntroduction -- Image Processing For Feature Extraction -- Computational Geometry -- Projective Geometry And Camera Model -- Camera Calibration -- Pattern Recognition For Feature Organization -- Applications. 330 $aThis book enables readers to acquire a fundamental knowledge of computer vision from the perspective of geometry, including knowledge of image processing and pattern recognition intended for two-dimensional geometry analysis of images, knowledge of computer vision intended for three-dimensional geometry analysis of images. From the pedagogic point of view, the author intends that this book helps students develop an ability to flexibly apply geometry fundamentals of computer vision to solve practical engineering problems. In this sense, this book is also a professional reference for engineers dedicated to computer vision involved intelligent systems. This book attaches importance to clarification of how relevant knowledge of computer vision stems from practical applications and emphasizes the dialectic relationship between the knowledge and practical applications, enabling readers not only to ?know how? for practice, but also to ?know why? in terms of mathematical essence. Throughout this book, the author tends to provide detailed theoretical derivations and explanations to clarify essential reasons behind computer vision methods. Besides, this book provides plenty of original demonstration code scripts (in Matlab) that are complete, interesting, easy for practice, and of application values for engineering activities. By code demonstration, the author presents how to flexibly take advantage of geometry fundamentals of computer vision to realize various kinds of visual effects that are actually technology basis of many interesting and useful applications. 410 0$aArtificial Intelligence (R0) Series 606 $aComputer vision 606 $aImage processing 606 $aComputer science 606 $aGeometry 606 $aComputer Vision 606 $aImage Processing 606 $aComputational Geometry 615 0$aComputer vision. 615 0$aImage processing. 615 0$aComputer science. 615 0$aGeometry. 615 14$aComputer Vision. 615 24$aImage Processing. 615 24$aComputational Geometry. 676 $a006.37 700 $aLi$b Hao$01585856 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911031627803321 996 $aGeometry Fundamentals of Computer Vision$94444827 997 $aUNINA