Computer Vision -- ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part II [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.

Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment.-?From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices.-?Pose Machines: Articulated Pose Estimation via Inference Machines.-?Piecewise-Planar StereoScan: Structure and Motion from Plane Primitives.-?Nonrigid Surface Registration and Completion from RGBD Images.-?Unsupervised Dense Object Discovery, Detection, Tracking and Reconstruction.-?Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice.-?As-Rigid-As-Possible Stereo under Second Order Smoothness Priors.-?Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional.-?A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors.-?Efficient Color Constancy with Local Surface Reflectance Statistics.-?A Contrast Enhancement Framework with JPEG Artifacts Suppression.-?Radial Bright Channel Prior for Single Image Vignetting Correction.-?Tubular Structure Filtering by RankingOrientation Responses of Path Operators.-?Optimization-Based Artifact Correction for Electron Microscopy Image Stacks.-?Metric-Based Pairwise and Multiple Image Registration.-?Canonical Correlation Analysis on Riemannian Manifolds and Its Applications.-?Scalable 6-DOF Localization on Mobile Devices.-?On Mean Pose and Variability of 3D Deformable Models.-?Hybrid Stochal£-