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Advances in Visual Computing: 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 79, 2019, Proceedings, Part I 2019 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 698 pages, height x width: 235x155 mm, weight: 1110 g, 299 Illustrations, color; 34 Illustrations, black and white; XXXV, 698 p. 333 illus., 299 illus. in color., 1 Paperback / softback
  • Sērija : Image Processing, Computer Vision, Pattern Recognition, and Graphics 11844
  • Izdošanas datums: 26-Oct-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030337197
  • ISBN-13: 9783030337193
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Advances in Visual Computing: 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 79, 2019, Proceedings, Part I 2019 ed.Palielināt
  • Formāts: Paperback / softback, 698 pages, height x width: 235x155 mm, weight: 1110 g, 299 Illustrations, color; 34 Illustrations, black and white; XXXV, 698 p. 333 illus., 299 illus. in color., 1 Paperback / softback
  • Sērija : Image Processing, Computer Vision, Pattern Recognition, and Graphics 11844
  • Izdošanas datums: 26-Oct-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030337197
  • ISBN-13: 9783030337193
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030337193.html
Keywords:
This book constitutes the refereed proceedings of the 14th International Symposium on Visual Computing, ISVC 2019, held in Lake Tahoe, NV, USA in October 2019.





The 100 papers presented in this double volume were carefully reviewed and selected from 163 submissions. The papers are organized into the following topical sections: Deep Learning I; Computer Graphics I; Segmentation/Recognition; Video Analysis and Event Recognition; Visualization; ST: Computational Vision, AI and Mathematical methods for Biomedical and Biological Image Analysis; Biometrics; Virtual Reality I; Applications I; ST: Vision for Remote Sensing and Infrastructure Inspection; Computer Graphics II; Applications II; Deep Learning II; Virtual Reality II; Object Recognition/Detection/Categorization; and Poster.
Deep Learning I.- Application of Image Classication for Fine-Grained
Nudity Detection.- DeepGRU: Deep Gesture Recognition Utility.- Delineation of
Road Networks Using Deep Residual Neural Networks and Iterative Hough
Transform.- DomainSiam: Domain-Aware Siamese Network for Visual Object
Tracking.- Reconstruction Error Aware Pruning for Accelerating Neural
Networks.- Computer Graphics I.- Bioinspired Simulation of Knotting Hagsh.-
Interactive 3D Visualization for Monitoring and Analysis of Geographical
Trac Data of Various Domains.- Propagate and Pair: A Single-Pass Approach to
Critical Point Pairing in Reeb Graphs.- Real-Time Ray Tracing with
SphericallyProjected Object Data.- Underwater Photogrammetry Reconstruction:
GPU Texture Generation from Videos Captured via AUV.-
Segmentation/Recognition.- Adaptive Attention Model for Lidar Instance
Segmentation.- View Dependent Surface Material Recognition.- 3D Visual Object
Detection from Monocular Images.- Skin Identication Using Deep Convolutional
Neural Network.- Resolution-independent meshes of superpixels.- Video
Analysis and Event Recognition.- Automatic Video Colorization using 3D
Conditional Generative Adversarial Networks.- Improving Visual Reasoning With
Attention Alignment.- Multi-Camera Temporal Grouping for Play/Break Event
Detection in Soccer Games.- Trajectory Prediction by Coupling Scene-LSTM with
Human Movement LSTM.- Augmented Curiosity: Depth and Optical Flow Prediction
for Ecient Exploration.- Visualization.- Information Visualization for
Highlighting Conicts in Educational Timetabling Problems.- ContourNet:
Salient Local Contour Identication for Blob Detection in Plasma Fusion
Simulation Data.- Mutual Information-Based Texture Spectral Similarity
Criterion.- Accurate Computation of Interval Volume Measures for Improving
Histograms.- Ant-SNE: Tracking Community Evolution via Animated t-SNE.- ST:
Computational Vision, AI and Mathematical Methods for Biomedical and
Biological Image Analysis.-  Automated Segmentation of the Pectoral Muscle in
Axial Breast MR Images.- Angio-AI: Cerebral Perfusion Angiography with
Machine Learning.- Conformal Welding for Brain-Intelligence Analysis.-
Learning Graph Cut Class Prototypes for Thigh CT Tissue Identication.-
Automatic Estimation of Arterial Input Function in Digital Subtraction
Angiography.- Biometrics.- One-Shot-Learning for Visual Lip-Based Biometric
Authentication.- Age Group and Gender Classication of Unconstrained Faces.-
Ecient 3D Face Recognition in Uncontrolled Environment.- Pupil Center
Localization Using SOMA and CNN.- Real-Time Face Features Localization with
Recurrent Rened Dense CNN Architectures.- Virtual Reality I.- Estimation of
the distance between ngertips using silhouette and texture information of
dorsal of hand.- Measuring Reectance of Anisotropic Materials using Two
Handheld Cameras.- FunPlogs - A Serious Puzzle Mini-Game for Learning
FundamentalProgramming Principles Using Visual Scripting.- Automatic camera
path generation from 360 video.- Highlighting Techniques for 360 Degree
Virtual Reality and Their Immersive Authoring.- Applications I.- Jitter-free
registration for Unmanned Aerial Vehicle Videos.- Heart Rate Based Face
Synthesis for Pulse Estimation.- Light-weight Novel View Synthesis for Casual
Multiview Photography.- DeepPrivacy: A generative adversarial network for
face anonymization.- Swarm Optimization Algorithm for Road Bypass
Extrapolation.- ST: Vision for Remote Sensing and Infrastructure Inspection.-
Concrete Crack Pixel Classication using an Encoder Decoder Based Deep
Learning Architecture.- A Geometry-based Method for the Spatio-temporal
Detection of Cracks in 4D-Reconstructions.- An Automatic Digital Terrain
Generation Technique for Terrestrial Sensing and Virtual Reality
Applications.- Rebar Detection and Localization for Non-Destructive
Infrastructure Evaluation using Deep Residual Networks.- Computer Graphics
II.- Intrinsic Decomposition by learning from Varying Lighting Conditions.-
Pixel2Field: Single Image Transformation to Physical Field of Sports Videos.-
UnrealGT: Using Unreal Engine to Generate Ground Truth Datasets.- Fast
Omnidirectional Depth Densication.