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Produktbild: Advances in Visual Computing
Band 15047 - 10%

Advances in Visual Computing 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part II

Aus der Reihe Lecture Notes in Computer Science
10% sparen

76,99 € UVP 85,59 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.01.2025

Abbildungen

XXII, 464 p. 184 illus., 149 illus. in color.

Herausgeber

George Bebis + weitere

Verlag

Springer

Seitenzahl

464

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

733 g

Sprache

Englisch

ISBN

978-3-031-77388-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.01.2025

Abbildungen

XXII, 464 p. 184 illus., 149 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

464

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

733 g

Sprache

Englisch

ISBN

978-3-031-77388-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advances in Visual Computing

  • Segmentation:
    Generating Synthetic Tree Point Clouds for Deep Learning Applications in Remote Sensing.- Image Segmentation by Latent Space Phase-Gating with Applications in High-Content Screening.- Evaluating Segmentation of Human Body Parts across Datasets.
    Recognition:
    Unsupervised Effectiveness Estimation Measure Based on Rank Correlation for Image Retrieval.- VLPSR: Enhancing Zero-shot Object ReID with Vision-language Model.- Sign Language Recognition using Visual Hand Landmarks and the Parameters of American Sign Language.
    ST: Generalization in Visual Machine Learning:
    Self-Supervised Segmentation to Pose Estimation Model for Mechanical Systems with Complex Kinematics.- Selective Noise-Aided Machine Unlearning with Deep Feature Visualization.- Investigating the Impact of a Foundational Medical Image Model for CT Classification.
    ST: Vision and Robotics for Agriculture:
    Vision-based Xylem Wetness Classification in Stem Water Potential Determination.- HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning.- Machine Vision and Deep Learning, for Robotic Harvesting of Shiitake Mushrooms.- Video analyses of Water Drop Penetration Time Using Temporal Action Localization for Evaluating Soil Water Repellency.- SAMPLS: A prompt engineering approach using Segment-Anything-Model for PLant Science research.
    Virtual Reality:
    Impact of Relevant Augmented Reality Information on Human Performance.- Toward Dynamic NPC Interactions: Integrating GPT-Driven Agents in 3D Virtual Environments.- Exploring Ecological Validity: A Comparative Study of the Mere Exposure Effect on Screens and in Immersive Virtual Reality.- Increasing Training Effciency of Motion-Intensive Virtual Reality Training with Adaptations based on Physiological Measurement Data.
    Applications:
    Leveraging Zero-Shot Learning on Street-View Imagery for Built Environment Variable Analysis.- Enhancing Classification of Aquatic Species through Supervised Contrastive Learning and Advanced Image Super-Resolution.- Automated Corrosion Identification in Metal Imagery: Traditional vs. Deep Learning.- Underwater Image Restoration using Light Attenuation.- HCC: An explainable framework for classifying discomfort from video.
    Poster:
    Enhanced Maritime Safety through Deep Learning and Feature Selection.- Discrete Anomalous Regions (DAR) - going beyond heatmaps and predicting actionable discrete regions.- Learning Flight Path Based on Recording Image and Flight Operation.- MobileNetV2-Enhanced Depth Map Super-Resolution through Multi-Scale Image Guidance.- Road Surface Material Recognition from Dashboard Cameras.- Embedded-ViT: A Framework for Embedded Deployment of Vision-Transformer in Medical Applications.- An Image-Based Method for Defect Detection on Metal Surfaces.- Real-Time Evaluation of Aircraft Instruments.- Enhancing Learned Image Compression via Cross Window-based Attention.- A Design of Real-Time Style-Transfer Operations in a Game Engine.- PLOV: A Visualization Tool For Exploring Visibility in Family Living Situations.- Exploring Gesture-Based Interaction in Smartwatch Games: A Comparative Study between Continuous Gesture Recognition and Hidden Markov Models.