Advances in Visual Computing

1. Front Matter

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2. ST: Computational Bioimaging II

   1. Fast Mesh-Based Medical Image Registration

      • Ahmadreza Baghaie, Zeyun Yu, Roshan M. D’souza

      Pages 1-10

   2. Multimodal Non-Rigid Registration Methods Based on Demons Models and Local Uncertainty Quantification Used in 3D Brain Images

      • Isnardo Reducindo, Aldo R. Mejía-Rodríguez, Edgar Arce-Santana, Daniel U. Campos-Delgado, Elisa Scalco, Giovanni M. Cattaneo et al.

      Pages 11-20

   3. Principal Axes-Based Asymmetry Assessment Methodology for Skin Lesion Image Analysis

      • Maria João M. Vasconcelos, Luís Rosado, Márcia Ferreira

      Pages 21-31

   4. Roles of Various Brain Structures on Non-Invasive Lateralization of Temporal Lobe Epilepsy

      • Fariborz Mahmoudi, Mohammad-Reza Nazem-Zadeh, Hassan Bagher-Ebadian, Jason M. Schwalb, Hamid Soltanian-Zadeh

      Pages 32-40

   5. Spatio-temporal Level-Set Based Cell Segmentation in Time-Lapse Image Sequences

      • Fatima Boukari, Sokratis Makrogiannis

      Pages 41-50

3. Recognition

   1. A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies

      • Sotirios P. Chatzis, Dimitrios I. Kosmopoulos, George M. Papadourakis

      Pages 51-62

   2. Proximity Clustering for Revealing a Semantically Dominant Class

      • Tushar Sandhan, Kimin Yun, Jin Young Choi

      Pages 63-73

   3. One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding

      • Yonggang Qi, Wei-Shi Zheng, Tao Xiang, Yi-Zhe Song, Honggang Zhang, Jun Guo

      Pages 74-84

   4. Hierarchical Spanning Tree-Structured Approximation for Conditional Random Fields: An Empirical Study

      • Alexei N. Skurikhin

      Pages 85-94

   5. Thresholding a Random Forest Classifier

      • Florian Baumann, Fangda Li, Arne Ehlers, Bodo Rosenhahn

      Pages 95-106

   6. Texture Retrieval Using Cauchy-Schwarz Divergence and Generalized Gaussian Mixtures

      • Hassan Rami, Ahmed Drissi El Maliani, Mohammed El Hassouni, Driss Aboutajdine

      Pages 107-116

4. 3D Computer Vision

   1. Spatial Uncertainty Model of a Three-View RGB-D Camera System

      • Chen Zhu, Simon Bilgeri, Christoph Günther

      Pages 117-128

   2. 3D Estimation of Isometric Surfaces Using a ToF-Based Approach

      • S. Jafar Hosseini, Helder Araujo

      Pages 129-140

   3. 3D Microscopy Vision Using Multiple View Geometry and Differential Evolutionary Approaches

      • A. Pahlavan Tafti, A. B. Kirkpatrick, H. A. Owen, Z. Yu

      Pages 141-152

   4. Shape from Refocus

      • R. Huber-Mörk, S. Štolc, D. Soukup, B. Holländer

      Pages 153-162

   5. Ultrasound Surface Extraction Using Radial Basis Functions

      • Rickard Englund, Timo Ropinski

      Pages 163-172

   6. Sphere Packing Aided Surface Reconstruction for Multi-view Data

      • Kun Liu, Patricio A. Galindo, Rhaleb Zayer

      Pages 173-184

5. Applications

   1. A New Coin Segmentation and Graph-Based Identification Method for Numismatic Application

      • Xingyu Pan, Kitti Puritat, Laure Tougne

      Pages 185-195

   2. Evaluating Depth-Based Computer Vision Methods for Fall Detection under Occlusions

      • Zhong Zhang, Christopher Conly, Vassilis Athitsos

      Pages 196-207

The two volume set LNCS 8887 and 8888 constitutes the refereed proceedings of the 10th International Symposium on Visual Computing, ISVC 2014, held in Las Vegas, NV, USA. The 74 revised full papers and 55 poster papers presented together with 39 special track papers were carefully reviewed and selected from more than 280 submissions. The papers are organized in topical sections: Part I (LNCS 8887) comprises computational bioimaging, computer graphics; motion, tracking, feature extraction and matching, segmentation, visualization, mapping, modeling and surface reconstruction, unmanned autonomous systems, medical imaging, tracking for human activity monitoring, intelligent transportation systems, visual perception and robotic systems. Part II (LNCS 8888) comprises topics such as computational bioimaging , recognition, computer vision, applications, face processing and recognition, virtual reality, and the poster sessions.

• automated image analysis
• biomedical data
• computer graphics
• computer vision
• image processing
• machine learning
• magnetic resonance imaging
• medical imaging
• multimodal interaction
• object recognition
• optimization
• pattern recognition
• robot vision
• stereoscopic
• video surveillance
• virtual reality
• visualization

• Department of Computer Science and Engineering, University of Nevada at Reno, USA

  George Bebis

• NASA Ames Research Center, Moffett Field, USA

  Richard Boyle

• Lawrence Berkeley National Laboratory, Berkeley, USA

  Bahram Parvin

• Desert Research Institute, Reno, USA

  Darko Koracin

• The University of Texas at Dallas, Richardson, USA

  Ryan McMahan

• NextGen Interactions, Raleigh, USA

  Jason Jerald

• Indiana University, Indianapolis, USA

  Hui Zhang

• Microsoft Research, Redmond, USA

  Steven M. Drucker

• University of Delaware, Newark, USA

  Chandra Kambhamettu

• Intel Corp., Sata Clara, USA

  Maha Choubassi

• Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, Houston, USA

  Zhigang Deng

• NVIDIA, Leesburg, USA

  Mark Carlson

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