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001440131 001__ 1440131
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001440131 019__ $$a1287765179
001440131 020__ $$a9783030873585$$q(electronic bk.)
001440131 020__ $$a3030873587$$q(electronic bk.)
001440131 020__ $$z9783030873578
001440131 0247_ $$a10.1007/978-3-030-87358-5$$2doi
001440131 035__ $$aSP(OCoLC)1272998925
001440131 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dGZM$$dOCLCF$$dDCT$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001440131 049__ $$aISEA
001440131 050_4 $$aT385$$b.I585 2021eb
001440131 08204 $$a006.6$$223
001440131 1112_ $$aInternational Conference on Image and Graphics$$n(11th :$$d2021 :$$cHaikou Shi, China)
001440131 24510 $$aImage and graphics :$$b11th International Conference, ICIG 2021, Haikou, China, August 6-8, 2021, Proceedings.$$nPart II /$$cYuxin Peng, Shi-Min Hu, Moncef Gabbouj, Kun Zhou, Michael Elad, Kun Xu (eds.).
001440131 2463_ $$aICIG 2021
001440131 264_1 $$aCham :$$bSpringer,$$c2021.
001440131 300__ $$a1 online resource (849 pages)
001440131 336__ $$atext$$btxt$$2rdacontent
001440131 337__ $$acomputer$$bc$$2rdamedia
001440131 338__ $$aonline resource$$bcr$$2rdacarrier
001440131 347__ $$atext file
001440131 347__ $$bPDF
001440131 4901_ $$aLecture notes in computer science ;$$v12889
001440131 4901_ $$aLNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
001440131 500__ $$aIncludes author index.
001440131 5050_ $$aIntro -- Preface -- Organization -- Contents -- Part II -- Artificial Intelligence -- A Calibration Strategy for Smart Welding -- 1 Introduction -- 2 Background -- 3 Calibration Method and Models -- 3.1 Camera Calibration -- 3.2 Laer Calibration -- 3.3 Hand-Eye Calibration -- 4 Experiment and Results -- 4.1 Image Processing -- 4.2 Transformation Image Coordinates to Camera Co-ordinate -- 4.3 Transformation Camera Coordinates to Robot Coordinate -- 5 Conclusion -- 6 Future Work -- References -- Brain Connectivity: Exploring from a High-Level Topological Perspective -- 1 Introduction
001440131 5058_ $$a2 Materials and Methods -- 2.1 Participants and Data Acquisition -- 2.2 Data Preprocessing -- 2.3 Subnetwork Embedding -- 2.4 SE-Based Identification -- 3 Results -- 3.1 The Stable Relationship Between SEs -- 3.2 Traditional Relationship Preserved in SE Vectors -- 3.3 Comparison Between the Traditional and Reconstructed Coupling -- 3.4 Coupling in Schizophrenia -- 4 Discussion -- 4.1 A Subsection Sample -- 5 Conclusion -- References -- Hetero-STAN: Crowd Flow Prediction by Heterogeneous Spatio-Temporal Attention Network -- 1 Introduction -- 2 Related Works -- 3 Methodology
001440131 5058_ $$a3.1 Formulation of Spatio-Temporal Prediction -- 3.2 Heterogeneous Feature Enhancement -- 3.3 Spatio-Temporal Attention Mechanism -- 4 Experiments and Analyses -- 5 Conclusion -- References -- UAV Track Planning Algorithm Based on Graph Attention Network and Deep Q Network -- 1 Introduction -- 2 Track Planning Model Based on MDP -- 3 UAV Track Planning System Based on DQN -- 3.1 Basic Elements of Reinforcement Learning -- 3.2 Deep Q Network -- 3.3 System Model of Track Planning Based on DQN -- 4 Flight State Optimization Based on CNN and GAT -- 4.1 Feature Extraction Based on Pre-trained ResNet
001440131 5058_ $$a4.2 State Optimization Model Based on Graph Attention Network -- 4.3 Track Planning System Based on Flight State Optimization -- 5 Simulation and Discussion -- 5.1 Evaluation Index -- 5.2 Training and Testing -- 6 Conclusion -- References -- Object 6DoF Pose Estimation for Power Grid Manipulating Robots -- 1 Introduction -- 2 6DoF Pose Estimation -- 2.1 Pre-processing Stage -- 2.2 Instance Segmentation -- 2.3 Keypoints Prediction -- 2.4 2D-to-3D Projection -- 3 Experiments -- 3.1 Design the Clamp's Dataset -- 3.2 Results on Public Dataset Linemod -- 3.3 Results on Power Manipulating Robot
001440131 5058_ $$a4 Conclusion -- References -- Novel Augmented Reality System for Oral and Maxillofacial Surgery -- 1 Introduction -- 2 Experimental Setup -- 3 Methods -- 3.1 System Framework -- 3.2 Virtual Model Production -- 3.3 Marker Recognition -- 3.4 Fusion View Generation -- 4 Experiments and Results -- 4.1 Experiment on Skull Phantom -- 4.2 Cadaveric Mandible Experiment -- 5 Conclusion -- References -- A New Dataset and Recognition for Egocentric Microgesture Designed by Ergonomists -- 1 Introduction -- 2 Realated Work -- 2.1 The Design of Gestures -- 2.2 Gesture Recognition -- 3 Methodology -- 3.1 Microgesture Set.
001440131 506__ $$aAccess limited to authorized users.
001440131 520__ $$aThis three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. *The conference was postponed due to the COVID-19 pandemic.
001440131 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 7, 2021).
001440131 650_0 $$aComputer graphics$$vCongresses.
001440131 650_0 $$aImage processing$$xDigital techniques$$vCongresses.
001440131 650_6 $$aInfographie$$vCongrès.
001440131 650_6 $$aTraitement d'images$$xTechniques numériques$$vCongrès.
001440131 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440131 655_7 $$aConference papers and proceedings.$$2lcgft
001440131 655_7 $$aActes de congrès.$$2rvmgf
001440131 655_0 $$aElectronic books.
001440131 7001_ $$aPeng, Yuxin$$c(Computer scientist)
001440131 7001_ $$aHu, Shi-Min.
001440131 7001_ $$aGabbouj, Moncef.
001440131 7001_ $$aZhou, Kun.
001440131 7001_ $$aElad, M.$$q(Michael)
001440131 7001_ $$aXu, Kun.
001440131 77608 $$iPrint version:$$aPeng, Yuxin.$$tImage and Graphics.$$dCham : Springer International Publishing AG, ©2021$$z9783030873578
001440131 830_0 $$aLecture notes in computer science ;$$v12889.
001440131 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001440131 852__ $$bebk
001440131 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87358-5$$zOnline Access$$91397441.1
001440131 909CO $$ooai:library.usi.edu:1440131$$pGLOBAL_SET
001440131 980__ $$aBIB
001440131 980__ $$aEBOOK
001440131 982__ $$aEbook
001440131 983__ $$aOnline
001440131 994__ $$a92$$bISE