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Advances in Visual Computing

11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part I

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. George Bebis

    1. University of Nevada, Reno, USA

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  2. Richard Boyle

    1. NASA Ames Research Center, Moffett Field, USA

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  3. Bahram Parvin

    1. Lawrence Berkeley National Laboratory, Berkeley, USA

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  4. Darko Koracin

    1. Desert Research Institute, Reno, USA

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  5. Ioannis Pavlidis

    1. University of Houston, Houston, USA

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  6. Rogerio Feris

    1. IBM T.J. Watson Research Center, Yorktown Heights, USA

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  7. Tim McGraw

    1. Purdue University, West Lafayette, USA

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  8. Mark Elendt

    1. Side Effects Software, Santa Monica, USA

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  9. Regis Kopper

    1. The DiVE, Durham, USA

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  10. Eric Ragan

    1. Texas A&M University, College Station, USA

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  11. Zhao Ye

    1. Kent State University, Kent, USA

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  12. Gunther Weber

    1. Lawrence Berkeley National Laboratory, Berkeley, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9474)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ISVC 2015.

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About this book

The two volume set LNCS 9474 and LNCS 9475 constitutes the refereed proceedings of the 11th International Symposium on Visual Computing, ISVC 2015, held in Las Vegas, NV, USA in December 2015.

The 115 revised full papers and 35 poster papers presented in this book were carefully reviewed and selected from 260 submissions. The papers are organized in topical sections: Part I (LNCS 9474) comprises computational bioimaging; computer graphics; motion and tracking; segmentation; recognition; visualization; mapping; modeling and surface reconstruction; advancing autonomy for aerial robotics; medical imaging; virtual reality; observing humans; spectral imaging and processing; intelligent transportation systems; visual perception and robotic systems. Part II (LNCS 9475): applications; 3D computer vision; computer graphics; segmentation; biometrics; pattern recognition; recognition; and virtual reality.

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Keywords

Table of contents (81 papers)

  1. Virtual Reality

    1. Lateral Touch Detection and Localization for Interactive, Augmented Planar Surfaces

      • A. Ntelidakis, X. Zabulis, D. Grammenos, P. Koutlemanis
      Pages 551-560

    2. A Hybrid Real-Time Visual Tracking Using Compressive RGB-D Features

      • Mengyuan Zhao, Heng Luo, Ahmad P. Tafti, Yuanchang Lin, Guotian He
      Pages 561-573

    3. High-Quality Consistent Illumination in Mobile Augmented Reality by Radiance Convolution on the GPU

      • Peter Kán, Johannes Unterguggenberger, Hannes Kaufmann
      Pages 574-585

    4. Efficient Hand Articulations Tracking Using Adaptive Hand Model and Depth Map

      • Byeongkeun Kang, Yeejin Lee, Truong Q. Nguyen
      Pages 586-598

    5. Eye Gaze Correction with a Single Webcam Based on Eye-Replacement

      • Yalun Qin, Kuo-Chin Lien, Matthew Turk, Tobias Höllerer
      Pages 599-609

  2. ST: Observing Humans

    1. Front Matter

      Pages 611-611
      Download chapter PDF

    2. Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition

      • Chen Chen, Zhenjie Hou, Baochang Zhang, Junjun Jiang, Yun Yang
      Pages 613-623

    3. An RGB-D Camera Based Walking Pattern Detection Method for Smart Rollators

      • He Zhang, Cang Ye
      Pages 624-633

    4. Evaluation of Vision-Based Human Activity Recognition in Dense Trajectory Framework

      • Hirokatsu Kataoka, Yoshimitsu Aoki, Kenji Iwata, Yutaka Satoh
      Pages 634-646

    5. Analyzing Activities in Videos Using Latent Dirichlet Allocation and Granger Causality

      • Dalwinder Kular, Eraldo Ribeiro
      Pages 647-656

    6. Statistical Adaptive Metric Learning for Action Feature Set Recognition in the Wild

      • Shuanglu Dai, Hong Man
      Pages 657-667

  3. ST: Spectral Imaging Processing

    1. Front Matter

      Pages 669-669
      Download chapter PDF

    2. Learning Discriminative Spectral Bands for Material Classification

      • Chao Liu, Sandra Skaff, Manuel Martinello
      Pages 671-681

    3. A Deep Belief Network for Classifying Remotely-Sensed Hyperspectral Data

      • Justin H. Le, Ali Pour Yazdanpanah, Emma E. Regentova, Venkatesan Muthukumar
      Pages 682-692

    4. Variational Inference for Background Subtraction in Infrared Imagery

      • Konstantinos Makantasis, Anastasios Doulamis, Konstantinos Loupos
      Pages 693-705

    5. Image Based Approaches for Tunnels’ Defects Recognition via Robotic Inspectors

      • Eftychios Protopapadakis, Nikolaos Doulamis
      Pages 706-716

    6. Deep Learning-Based Man-Made Object Detection from Hyperspectral Data

      • Konstantinos Makantasis, Konstantinos Karantzalos, Anastasios Doulamis, Konstantinos Loupos
      Pages 717-727

    7. Hyperspectral Scene Analysis via Structure from Motion

      • Corey A. Miller, Thomas J. Walls
      Pages 728-738

  4. ST: Intelligent Transportation Systems

    1. Front Matter

      Pages 739-739
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    2. Detecting Road Users at Intersections Through Changing Weather Using RGB-Thermal Video

      • Chris Bahnsen, Thomas B. Moeslund
      Pages 741-751
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Other volumes

  1. Advances in Visual Computing

  2. Advances in Visual Computing

Editors and Affiliations

  • University of Nevada, Reno, USA

    George Bebis

  • NASA Ames Research Center, Moffett Field, USA

    Richard Boyle

  • Lawrence Berkeley National Laboratory, Berkeley, USA

    Bahram Parvin, Gunther Weber

  • Desert Research Institute, Reno, USA

    Darko Koracin

  • University of Houston, Houston, USA

    Ioannis Pavlidis

  • IBM T.J. Watson Research Center, Yorktown Heights, USA

    Rogerio Feris

  • Purdue University, West Lafayette, USA

    Tim McGraw

  • Side Effects Software, Santa Monica, USA

    Mark Elendt

  • The DiVE, Durham, USA

    Regis Kopper

  • Texas A&M University, College Station, USA

    Eric Ragan

  • Kent State University, Kent, USA

    Zhao Ye

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