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Computer Vision -- ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part III 2013 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 741 pages, height x width: 235x155 mm, weight: 1157 g, 336 Illustrations, black and white; XXVI, 741 p. 336 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 7726
  • Izdošanas datums: 04-Apr-2013
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642374301
  • ISBN-13: 9783642374302
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Computer Vision -- ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part III 2013 ed.Palielināt
  • Formāts: Paperback / softback, 741 pages, height x width: 235x155 mm, weight: 1157 g, 336 Illustrations, black and white; XXVI, 741 p. 336 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 7726
  • Izdošanas datums: 04-Apr-2013
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642374301
  • ISBN-13: 9783642374302
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783642374302.html
Keywords:
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.
Oral Session 6: Optical Flow and Tracking.- Adaptive Integration of
Feature Matches into Variational Optical Flow Methods.- Efficient Learning of
Linear Predictors Using Dimensionality Reduction.- Robust Visual Tracking
Using Dynamic Classifier Selection with Sparse
Representation of Label Noise.- Poster Session 6: Motion, Tracking, and
Computational Photography Dynamic Objectness for Adaptive Tracking.- Visual
Tracking in Continuous Appearance Space via Sparse Coding.- Robust Object
Tracking in Crowd Dynamic Scenes Using Explicit
Stereo Depth.- Structured Visual Tracking with Dynamic Graph.- Online
Multi-target Tracking by Large Margin Structured Learning.- An Anchor Patch
Based Optimization Framework for Reducing Optical Flow Drift in Long Image
Sequences.- One-Class Multiple Instance Learning and Applications to Target
Tracking.- Dense Scene Flow Based on Depth and Multi-channel Bilateral
Filter.- Object Tracking within the Framework of Concept Drift.- Multiple
Target Tracking Using Frame Triplets.- Spatio-Temporal Clustering Model for
Multi-object Tracking through
Occlusions.- Robust Object Tracking Using Constellation Model with
Superpixel.- Robust Registration-Based Tracking by Sparse Representation with
Model Update.- Robust and Efficient Pose Estimation from Line
Correspondences.- Nonlocal Spectral Prior Model for Low-Level Vision.-
Simultaneous Multiple Rotation Averaging Using Lagrangian Duality.-
Observation-Driven Adaptive Differential Evolution for Robust
Bronchoscope 3-D Motion Tracking.- Tracking Growing Axons by Particle
Filtering in 3D + t Fluorescent Two-Photon Microscopy Images.- Image
Upscaling Using Multiple Dictionaries of Natural Image Patches.- A
Biologically Motivated Double-Opponency Approach to Illumination
Invariance.- Measuring Linearity of Closed Curves and Connected Compound
Curves.- Patch Mosaic for Fast Motion Deblurring.- Single-Image Blind
Deblurring for Non-uniform Camera-Shake Blur.- Image Super-Resolution Using
Local Learnable Kernel Regression.- MRF-Based Blind Image Deconvolution.-
Efficient Image Appearance Description Using Dense Sampling Based Local
Binary Patterns.- Navigation toward Non-static Target Object Using Footprint
Detection Based Tracking.- Single Image Super Resolution Reconstruction in
Perturbed Exemplar
Sub-space.- Image Super-Resolution: Use of Self-learning and Gabor Prior.-
Oral Session 7: Video Analysis and Action.- Recognition Action Disambiguation
Analysis Using Normalized Google-Like Distance Correlogram.- Alpha-Flow for
Video Matting.- Combinational Subsequence Matching for Human Identification
from General Actions.- Poster Session 7: Video Analysis and Action
Recognition Iterative Semi-Global Matching for Robust Driver Assistance
Systems.- Action Recognition Using Canonical Correlation Kernels.- A New
Framework for Background Subtraction Using Multiple Cues.- Weighted
Interaction Force Estimation for Abnormality Detection in Crowd Scenes.-
Egocentric Activity Monitoring and Recovery.- Spatiotemporal Salience via
Centre-Surround Comparison of Visual Spacetime Orientations.-
Temporal-Spatial Refinements for Video Concept Fusion.- Features with
FeelingsIncorporating User Preferences in Video Categorization.- A
Comparative Study of Encoding, Pooling and Normalization Methods for Action
Recognition.- Dynamic Saliency Models and Human Attention: A Comparative
Study on Videos.- Horror Video Scene Recognition Based on Multi-view
Multi-instance Learning.- Learning Object Appearance from Occlusions Using
Structure and Motion Recovery.- Exploring the Similarities of Neighboring
Spatiotemporal Points for Action Pair Matching.- Sequential Reconstruction
Segment-Wise Feature Track and Structure Updating Based on Parallax Paths.-
Generic Active Appearance Models Revisited.- Tracking Pedestrian with
Multi-component Online Deformable Part-Based Model.- Local Distance
Comparison for Multiple-shot People Re-identification.- Non-sequential
Multi-view Detection, Localization andIdentification of People Using
Multi-modal Feature Maps.- Full 6DOF Pose Estimation from Geo-Located
Images.- Learning a Quality-Based Ranking for Feature Point Trajectories.