My Account Log in

1 option

Computer Vision - ACCV 2012 Workshops : ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012. Revised Selected Papers, Part I / edited by Jong-Il Park, Junmo Kim.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

View online
Format:
Book
Contributor:
Park, Jong-Il, editor.
Kim, Junmo, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 7728.
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 7728
Language:
English
Subjects (All):
Optical data processing.
User interfaces (Computer systems).
Multimedia systems.
Geometry.
Computer Imaging, Vision, Pattern Recognition and Graphics.
User Interfaces and Human Computer Interaction.
Media Design.
Local Subjects:
Computer Imaging, Vision, Pattern Recognition and Graphics.
User Interfaces and Human Computer Interaction.
Media Design.
Geometry.
Physical Description:
1 online resource (XXXIV, 335 pages) : 173 illustrations.
Edition:
First edition 2013.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
System Details:
text file PDF
Summary:
The two volume set, consisting of LNCS 7728 and 7729, contains the carefully reviewed and selected papers presented at the nine workshops that were held in conjunction with the 11th Asian Conference on Computer Vision, ACCV 2012, in Daejeon, South Korea, in November 2012. From a total of 310 papers submitted, 78 were selected for presentation. LNCS 7728 contains the papers selected for the International Workshop on Computer Vision with Local Binary Pattern Variants, the Workshop on Computational Photography and Low-Level Vision, the Workshop on Developer-Centered Computer Vision, and the Workshop on Background Models Challenge. LNCS 7729 contains the papers selected for the Workshop on e-Heritage, the Workshop on Color Depth Fusion in Computer Vision, the Workshop on Face Analysis, the Workshop on Detection and Tracking in Challenging Environments, and the International Workshop on Intelligent Mobile Vision.
Contents:
Binary Patterns
Rotation Invariant Co-occurrence among Adjacent LBPs
3D LBP-Based Rotationally Invariant Region Description
Dynamic Texture Synthesis in Space with a Spatio-temporal Descriptor
Adaptive Kernel Size Selection for Correntropy Based Metric
Vitality Assessment of Boar Sperm Using an Adaptive LBP Based on Oriented Deviation
Background Subtraction Based on Multi-channel SILTP
Elliptical Local Binary Patterns for Face Recognition
Block LBP Displacement Based Local Matching Approach for Human Face Recognition
Face Recognition with Learned Local Curvelet Patterns and 2-Directional L1-Norm Based 2DPCA
LBP-TOP Based Countermeasure against Face Spoofing Attacks
An Efficient LBP-Based Descriptor for Facial Depth Images Applied to Gender Recognition Using RGB-D Face Data
Face Spoofing Detection Using Dynamic Texture
Class-Specified Segmentation with Multi-scale Superpixels
A Flexible Auto White Balance Based on Histogram Overlap
Region Segmentation and Object Extraction Based on Virtual Edge and Global Features
Adaptive Sampling for Low Latency Vision Processing
Colorimetric Correction for Stereoscopic Camera Arrays
Camera Calibration Using Vertical Lines
Vehicle Localization Using Omnidirectional Camera with GPS Supporting in Wide Urban Area
Efficient Development of User-Defined Image Recognition Systems
Transforming Cluster-Based Segmentation for Use in OpenVL by Mainstream Developers
Efficient GPU Implementation of the Integral Histogram
Play Estimation with Motions and Textures in Space-Time Map Description
A Benchmark Dataset for Outdoor Foreground/Background Extraction
One-Class Background Model
Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features
Foreground Detection via Robust Low Rank Matrix Decomposition Including Spatio-Temporal Constraint
Temporal Saliency for Fast Motion Detection
Background Model Based on Statistical Local Difference Pattern.
Other Format:
Printed edition:
ISBN:
978-3-642-37410-4
9783642374104
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