LEADER 04339nam 22006015 450 001 9910483829503321 005 20200704014510.0 010 $a3-030-03000-8 024 7 $a10.1007/978-3-030-03000-1 035 $a(CKB)4100000007223636 035 $a(DE-He213)978-3-030-03000-1 035 $a(MiAaPQ)EBC5928032 035 $a(PPN)243768974 035 $a(EXLCZ)994100000007223636 100 $a20181214d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances in Computer Vision $eTheories and Applications /$fedited by Mahmoud Hassaballah, Khalid M. Hosny 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XV, 425 p. 158 illus., 106 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v804 311 $a3-030-02999-9 320 $aIncludes bibliographical references and index. 327 $aComputer Vision for Supporting Fashion Creative Processes -- Facial Features Detection and Localization -- Advances and Trends in Video Face Alignment -- Video Similarity Measurement and Search -- Analysis and Evaluation of Keypoint Descriptors for Image Matching -- Feature Extraction of Color images using Quaternion Moments -- Face recognition Using Exact Gaussian-Hermit Moments and Nonnegative Matrix Factorization -- Face Recognition with Discrete Orthogonal Moments -- Content-Based Image Retrieval using Multiresolution Feature Descriptors -- Landmark Recognition: From Small-Scale to Large-Scale Retrieval -- Ocean Ecosystems Plankton Classification -- Boundary Detection of Echocardiographic Images during Mitral Regurgitation -- Motion Estimation Made Easy: Evolution and Trends in Visual Odometry -- Deep Ear Recognition Pipeline -- Scene Classification Using Transfer Learning -- Hyperspectral Image: Fundamentals and Advances. 330 $aThis book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v804 606 $aComputational intelligence 606 $aOptical data processing 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 676 $a006.3 676 $a006.37 702 $aHassaballah$b Mahmoud$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHosny$b Khalid M$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483829503321 996 $aRecent Advances in Computer Vision$92850011 997 $aUNINA