An edition of Computer Vision – ACCV 2012
(2013)
Computer Vision – ACCV 2012
11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I
by Kyoung Mu Lee
Share
×Close
The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.
Publish Date
2013
Publisher
Springer Berlin Heidelberg,
Imprint: Springer
Language
English
Pages
821
Check nearby libraries
Buy this book
| Edition | Availability |
|---|---|
1
Computer Vision – ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I
2013, Springer Berlin Heidelberg, Imprint: Springer
electronic resource :
in English
3642373313 9783642373312
|
aaaa
|
Book Details
Table of Contents
Oral Session 1: Object Detection and Learning
Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer
Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes
Human Reidentification with Transferred Metric Learning
Poster Session 1: Object Detection, Learning and Matching
Tell Me What You Like and I’ll Tell You What You Are: Discriminating Visual Preferences on Flickr Data
Local Context Priors for Object Proposal Generation
Arbitrary-Shape Object Localization Using Adaptive Image Grids
Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences
Class-Specific Weighted Dominant Orientation Templates for Object Detection
Salient Object Detection via Color Contrast and Color Distribution
Data Decomposition and Spatial Mixture Modeling for Part Based Model
Appearance Sharing for Collective Human Pose Estimation
^
Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching
Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection
The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image
Local Hypersphere Coding Based on Edges between Visual Words
Spatially Local Coding for Object Recognition
Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach
Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets
One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery
Online Semi-Supervised Discriminative Dictionary Learning for Sparse Representation
Efficient Discriminative Learning of Class Hierarchy for Many Class Prediction
Oral Session 2: Object Recognition I
Grouping Active Contour Fragments for Object Recognition
Detecting Partially Occluded Objects with an Implicit Shape Model Random Field
^
^^
Relative Forest for Attribute Prediction
Discriminative Dictionary Learning with Pairwise Constraints
Poster Session 2: Feature, Representation, and Recognition
Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition
Iris Recognition Using Consistent Corner Optical Flow
Face Recognition in Videos – A Graph Based Modified Kernel Discriminant Analysis
Learning Hierarchical Bag of Words Using Naive Bayes Clustering
Efficient Human Parsing Based on Sketch Representation
Exclusive Visual Descriptor Quantization
Underwater Live Fish Recognition Using a Balance-Guaranteed Optimized Tree
Local 3D Symmetry for Visual Saliency in 2.5D Point Clouds
Exploiting Features – Locally Interleaved Sequential Alignment for Object Detection
Efficient and Scalable 4th-Order Match Propagation
Hierarchical Object Representations for Visual Recognition via Weakly Supervised Learning
^
^^
Invariant Surface-Based Shape Descriptor for Dynamic Surface Encoding
Linear Discriminant Analysis with Maximum Correntropy Criterion
AfNet: The Affordance Network
A Directed Graphical Model for Linear Barcode Scanning from Blurred Images
A Probabilistic 3D Model Retrieval System Using Sphere Image
Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes
Boosting with Side Information
Generalized Mutual Subspace Based Methods for Image Set Classification
Oral Session 3: Segmentation and Grouping Simultaneous Monocular 2D Segmentation, 3D Pose Recovery and 3D Reconstruction
Joint Kernel Learning for Supervised Image Segmentation
Application of Heterogenous Motion Models towards Structure Recovery from Motion
Poster Session 3: Segmentation, Grouping, and Classification Locality-Constrained Active Appearance Model
Modeling Hidden Topics with Dual Local Consistency for Image Analysis
^
^^
Design of Non-Linear Discriminative Dictionaries for Image Classification
Efficient Background Subtraction under Abrupt Illumination Variations
Naive Bayes Image Classification: Beyond Nearest Neighbors
Contextual Pooling in Image Classification
Spatial Graph for Image Classification
Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation
Efficient Pixel-Grouping Based on Dempster’s Theory of Evidence for Image Segmentation
Video Segmentation with Superpixels
A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation
Active Learning for Interactive Segmentation with Expected Confidence Change
Cross Anisotropic Cost Volume Filtering for Segmentation.
^^
Edition Notes
Classifications
The Physical Object
Edition Identifiers
Work Identifiers
Source records
Community Reviews (0)
Lists