My Account Log in

1 option

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

SpringerLink Books Computer Science (2011-2024) Available online

View online
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, 8695
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 8695
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 (XXVI, 632 pages) : 261 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:
Person Re-Identification Using Kernel-Based Metric Learning Methods
Saliency in Crowd
Webpage Saliency
Deblurring Face Images with Exemplars
Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution
Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information
Affine Subspace Representation for Feature Description
A Generative Model for the Joint Registration of Multiple Point Sets
Change Detection in the Presence of Motion Blur and Rolling Shutter Effect
An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions
OpenDR: An Approximate Differentiable Renderer
A Superior Tracking Approach: Building a Strong Tracker through Fusion
Training-Based Spectral Reconstruction from a Single RGB Image
On Shape and Material Recovery from Motion
Intrinsic Image Decomposition Using Structure-Texture Separation and Surface Normals
Multi-level Adaptive Active Learning for Scene Classification
Graph Cuts for Supervised Binary Coding
Planar Structure Matching under Projective Uncertainty for Geolocation
Active Deformable Part Models Inference
Simultaneous Detection and Segmentation
Learning Graphs to Model Visual Objects across Different Depictive Styles
Analyzing the Performance of Multilayer Neural Networks for Object Recognition
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Scene Classification via Hypergraph-Based Semantic Attributes Subnetworks Identification
OTC: A Novel Local Descriptor for Scene Classification
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Expanding the Family of Grassmannian Kernels: An Embedding Perspective
Image Tag Completion by Noisy Matrix Recovery
ConceptMap: Mining Noisy Web Data for Concept Learning
Shrinkage Expansion Adaptive Metric Learning
Salient Montages from Unconstrained Videos
Action-Reaction: Forecasting the Dynamics of Human Interaction
Creating Summaries from User Videos
Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
Robust Foreground Detection Using Smoothness and Arbitrariness Constraints
Video Object Co-segmentation by Regulated Maximum Weight Cliques
Dense Semi-rigid Scene Flow Estimation from RGBD Images
Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes
Joint Object Class Sequencing and Trajectory Triangulation (JOST)
Scene Chronology.
Other Format:
Printed edition:
ISBN:
978-3-319-10584-0
9783319105840
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account