Advances in Visual Computing

1. Front Matter

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2. ST: Computational Bioimaging I

   1. Learning Splines for Sparse Tomographic Reconstruction

      • Elham Sakhaee, Alireza Entezari

      Pages 1-10

   2. Rigid Multimodal/Multispectral Image Registration Based on the Expectation-Maximization Algorithm

      • Edgar Arce-Santana, Daniel U. Campos-Delgado, Isnardo Reducindo, Aldo R. Mejía-Rodríguez, Giovanna Rizzo

      Pages 11-20

   3. Analysis of Biomedical Images Based on Automated Methods of Image Registration

      • João Manuel R. S. Tavares

      Pages 21-30

   4. Noise Analysis and Removal in 3D Electron Microscopy

      • Joris Roels, Jan Aelterman, Jonas De Vylder, Hiep Luong, Yvan Saeys, Saskia Lippens et al.

      Pages 31-40

   5. Ensemble Registration: Incorporating Structural Information into Groupwise Registration

      • Sri Purwani, Carole Twining

      Pages 41-50

3. Computer Graphics I

   1. Automatic Photorealistic 3D Inner Mouth Restoration from Frontal Images

      • Masahide Kawai, Tomoyori Iwao, Akinobu Maejima, Shigeo Morishima

      Pages 51-62

   2. Local, Polynomial G ¹ PN Quads

      • Chavdar Papazov

      Pages 63-74

   3. Voronoi Diagrams of Line Segments in 3D, with Application to Automatic Rigging

      • Jeffrey W. Holcomb, Jorge A. Cobb

      Pages 75-86

   4. Image Dehazing Using Regularized Optimization

      • Jiaxi He, Cishen Zhang, Ifat-Al Baqee

      Pages 87-96

   5. Real-Time Depth-Image-Based Rendering for 3DTV Using OpenCL

      • Roberto Gerson de Albuquerque Azevedo, Fernando Ismério, Alberto Barbosa Raposo, Luiz Fernando Gomes Soares

      Pages 97-106

4. Motion and Tracking

   1. Direct Estimation of Dense Scene Flow and Depth from a Monocular Sequence

      • Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed

      Pages 107-117

   2. 3D Deformable Spatial Pyramid for Dense 3D Motion Flow of Deformable Object

      • Junhwa Hur, Hwasup Lim, Sang Chul Ahn

      Pages 118-127

   3. Visual Tracking Extensions for Accurate Target Recovery in Low Frame Rate Videos

      • Yoav Liberman, Adi Perry

      Pages 128-139

   4. Optical Flow Computation in the Presence of Spatially-Varying Motion Blur

      • Mohammad Hossein Daraei

      Pages 140-150

   5. A Fast TGV-l ¹ RGB-D Flow Estimation

      • Junha Roh, Hwasup Lim, Sang Chul Ahn

      Pages 151-161

   6. Statistical Estimation of Fluid Flow: An Image Restoration Approach

      • Konstantia Moirogiorgou, Michalis Zervakis, Andreas E. Savakis, Ioannis Sibetheros

      Pages 162-171

5. Feature Extraction and Matching I

   1. Efficient Object Localization and Segmentation in Weakly Labeled Videos

      • Mrigank Rochan, Yang Wang

      Pages 172-181

   2. Image Classification via Semi-supervised Feature Extraction with Out-of-Sample Extension

      • F. Dornaika, Y. El Traboulsi, B. Cases, A. Assoum

      Pages 182-192

   3. An Experimental Evaluation of Different Features and Nodal Costs for Horizon Line Detection

      • Touqeer Ahmad, George Bebis, Emma Regentova, Ara Nefian, Terry Fong

      Pages 193-205

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 graphics
• computer vision
• image processing
• machine learning
• 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., Santa 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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