Computer Vision -- ECCV 2014 : 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V / edited by David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars.

Format:

Book

Contributor:

Fleet, David., Editor.

Pajdla, Tomáš, Editor.

Schiele, Bernt., Editor.

Tuytelaars, Tinne, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 8693

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 8693

Language:

English

Subjects (All):

Computer vision.

Pattern recognition systems.

Artificial intelligence.

Computer graphics.

Computer Vision.

Automated Pattern Recognition.

Artificial Intelligence.

Computer Graphics.

Local Subjects:

Computer Vision.

Automated Pattern Recognition.

Artificial Intelligence.

Computer Graphics.

Physical Description:

1 online resource (XXVIII, 853 pages) : 379 illustrations

Edition:

1st ed. 2014.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

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.

Contents:

Video Registration to SfM Models

Soft Cost Aggregation with Multi-resolution Fusion

Inverse Kernels for Fast Spatial Deconvolution

Deep Network Cascade for Image Super-resolution

Spectral Edge Image Fusion: Theory and Applications

Spatio-chromatic Opponent Features

Modeling Perceptual Color Differences by Local Metric Learning

Online Graph-Based Tracking

Fast Visual Tracking via Dense Spatio-temporal Context Learning

Extended Lucas-Kanade Tracking

Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations

Generalized Background Subtraction Using Superpixels with Label Integrated Motion Estimation

Spectra Estimation of Fluorescent and Reflective Scenes by Using Ordinary Illuminants

Interreflection Removal Using Fluorescence

Intrinsic Face Image Decomposition with Human Face Priors

Recovering Scene Geometry under Wavy Fluid via Distortion and Defocus Analysis

Human Detection Using Learned Part Alphabet and Pose Dictionary

SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection

Detecting Snap Points in Egocentric Video with a Web Photo Prior

Towards Unified Object Detection and Semantic Segmentation

Foreground Consistent Human Pose Estimation Using Branch and Bound

Human Pose Estimation with Fields of Parts.-Unsupervised Video Adaptation for Parsing Human Motion

Training Object Class Detectors from Eye Tracking Data

Symmetric Objects

Edge Boxes: Locating Object Proposals from Edges

Training Deformable Object Models for Human Detection Based on Alignment and Clustering

Predicting Actions from Static Scenes

Exploiting Privileged Information from Web Data for Image Categorization

Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling

Discriminatively Trained Dense Surface Normal Estimation

Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects Classification

Learning Where to Classify in Multi-view Semantic Segmentation

Semantics: A Medium-Level Model for Real-Time Semantic Scene Understanding

Sparse Dictionaries for Semantic Segmentation

Video Action Detection with Relational Dynamic-Poselets

Action Recognition with Stacked Fisher Vectors

A Discriminative Model with Multiple Temporal Scales for Action Prediction

Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions

Weakly Supervised Action Labeling in Videos under Ordering Constraints

Active Random Forests: An Application to Autonomous Unfolding of Clothes

Model-Free Segmentation and Grasp Selection of Unknown Stacked Objects

Convexity Shape Prior for Segmentation

Pseudo-bound Optimization for Binary Energies

A Closer Look at Context: From Coxels to the Contextual Emergence of Object Saliency

Geodesic Object Proposals

Microsoft COCO: Common Objects in Context

Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation

Robust Bundle Adjustment Revisited

Accurate Intrinsic Calibration of Depth Camera with Cuboids

Statistical Pose Averaging with Non-isotropic and Incomplete Relative Measurements

A Pot of Gold: Rainbows as a Calibration Cue

Let There Be Color! Large-Scale Texturing of 3D Reconstructions.

Other Format:

Printed edition:

ISBN:

978-3-319-10602-1

9783319106021

Access Restriction:

Restricted for use by site license.