Computer Vision, Imaging and Computer Graphics Theory and Applications: 10th International Joint Conference, Visigrapp 2015, Berlin, Germany, March 11

ISBN-13: 9783319299709 / Angielski / Miękka / 2016 / 474 str.

Jose Braz; Julien Pettre; Paul Richard

Opis

This book constitutes thoroughly revised and selected papers from the 10^th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2015, held in Berlin, Germany, in March 2015. VISIGRAPP comprises GRAPP, International Conference on Computer Graphics Theory and Applications; IVAPP, International Conference on Information Visualization Theory and Applications; and VISAPP, International Conference on Computer Vision Theory and Applications.
The 23 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 529 submissions. The book also contains one invited talk in full-paper length. The regular papers were organized in topical sections named: computer graphics theory and applications; information visualization theory and applications; and computer vision theory and applications.

Spis treści

First-person Palm Pose Tracking and Gesture Recognition in Augmented Reality.- Computer Graphics Theory and Applications A Sketch-based Interface for 2D Illustration of Vascular Structures, Diseases, and Treatment Options with Real-time Blood Flow.- GPU Accelerated Computation of Geometric Descriptors in Parametric Space.- Interference Shader for Multilayer Films.- Enhancement of Direct Augmented Reality Object Selection by Gravity-adapted Target Resizing.- Information Visualization Theory and Applications. A Linear Time Algorithm for Embedding Arbitrary Knotted Graphs into a 3-Page Book.- Leaf Glyphs: Story Telling and Data Analysis using Environmental Data Glyph Metaphors.- Compression and Heuristic Caching for GPU Particle Tracing in Turbulent Vector Fields.-Choosing Visualization Techniques for Multidimensional Data Projection Tasks: A Guideline with Examples.- Computer Vision Theory and Applications. A Hybrid Approach for Individual and Group Activity Analysis in Crowded Scene.- Fusing Intertial Data with Vision for Enhanced Image Understanding.- Multiple View 3D Reconstruction with Rolling Shutter Cameras.- Fully-automatic Target Detection and Tracking for Real-time, Airborne Imaging Applications.- A Generalized Structure from Motion Framework for Central Projection Cameras.- TVL1 Planarity Regularization for 3D Shape Approximation.- Traffic Sign Recognition using Visual Attributes and Bayesian Network.- Novel Methods for Estimating Surface Normals from Afine Transformations.- Semi-automatic Hand Annotation of Egocentric Recordings.- Pedestrian Detection and Tracking in Challenging Surveillance Videos.- Algorithmic Optimizations in the HMAX Model Targeted for Efficient Object Recognition.- Estimating Visual Motion using an Event-based Artificial Retina.- CURFIL: A GPU Library for Image Labeling with Random Forests.- C-EFIC: Color and Edge based Foreground Background Segmentation with Interior Classification.- Choosing the Best Embedded Processing Platform for On-board UAV Image Processing.