Computer Vision -- ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part III [Paperback]

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014.

The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces.-?Pipe-Run Extraction and Reconstruction from Point Clouds.-?Image-Based 4-d Reconstruction Using 3-d Change Detection.-?VocMatch: Efficient Multiview Correspondence for Structure from Motion.- Robust Global Translations with 1DSfM.-?Comparing Salient Object Detection Results without Ground Truth.-?RGBD Salient Object Detection: A Benchmark and Algorithms.-?Saliency Detection with Flash and No-flash Image Pairs.-?Alpha Matting of Motion-Blurred Objects in Bracket Sequence Images.-?An Active Patch Model for Real World Texture and Appearance Classification.-?Material Classification Based on Training Data Synthesized Using a BTF Database.-?D?j? Vu: Motion Prediction in Static Images.-?Transfer Learning Based Visual Tracking with Gaussian Processes Regression.-?Separable Spatiotemporal Priors for Convex Reconstruction of Time-Varying 3D Point Clouds.-?Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation.-?Local Estimation of High Velocity Optical Flow with Correlation Image Sensor.-?Rank Minimization with Structured Data Patterns.-?Duality and the Continuous Graphical Model.-?Spectral Clustering with a Convex Regularizer on Millions of Images.-?Riemannian Sparse Coding for Positive Definite Matrices.-?Robust Sparse Coding and Compressed Sensing with tlSX