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Computer Vision -- ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part III 2015 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 725 pages, height x width: 235x155 mm, weight: 1128 g, 294 Illustrations, black and white; XX, 725 p. 294 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 9005
  • Izdošanas datums: 23-Apr-2015
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331916810X
  • ISBN-13: 9783319168104
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 725 pages, height x width: 235x155 mm, weight: 1128 g, 294 Illustrations, black and white; XX, 725 p. 294 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 9005
  • Izdošanas datums: 23-Apr-2015
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331916810X
  • ISBN-13: 9783319168104

The five-volume set LNCS 9003--9007 constitutes the thoroughly refereed post-conference proceedings of the 12th Asian Conference on Computer Vision, ACCV 2014, held in Singapore, Singapore, in November 2014.

The total of 227 contributions presented in these volumes was carefully reviewed and selected from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level vision and features; segmentation; face and gesture, tracking; stereo, physics, video and events; and poster sessions 1-3.

Accurate Vessel Segmentation with Progressive Contrast Enhancement and
Canny Refinement.- Eigen-PEP for Video Face Recognition.- Local Generic
Representation for Face Recognition with Single Sample per
Person.- Unsupervised Image Co-segmentation Based on Cooperative Game.- A
High Performance CRF Model for Clothes Parsing.- Real-Time Head Orientation
from a Monocular Camera Using Deep Neural Network.- Jointly Learning
Dictionaries and Subspace Structure for Video-Based Face Recognition.- Visual
Salience Learning via Low Rank Matrix Recovery.- A New Framework for
Multiclass Classification Using Multiview Assisted Adaptive Boosting.- Age
Estimation by Multi-scale Convolutional Network.- Photorealistic Face
De-Identification by Aggregating Donors Face Components.- Which Image Pairs
Will Cosegment Well? Predicting Partners for Cosegmentation.- Image
Restoration via Multi-prior Collaboration.- Modeling the Temporality of
Saliency.- Salient Object Detection Using Window Mask Transferring with
Multi-layer Background Contrast.- A Patch Aware Multiple Dictionary Framework
for Demosaicing.- Large Margin Multi-metric Learning for Face and Kinship
Verification in the Wild.- A Three-Color Coupled Level-Set Algorithm for
Simultaneous Multiple Cell Segmentation and Tracking.- OR-PCA with MRF for
Robust Foreground Detection in Highly Dynamic Backgrounds.- Segmentation of
Cells from Spinning Disk Confocal Images Using a Multi-stage Approach.- Head
Motion Signatures from Egocentric Videos.- Improving Saliency Models by
Predicting Human Fixation Patches.- Fast Super-Resolution via Dense Local
Training and Inverse Regressor Search.- PSPGC: Part-Based Seeds for
Parametric Graph-Cuts.- Multi-cue Mid-level Grouping.- Simple-to-Complex
Discriminative Clustering for Hierarchical Image Segmentation.- Learning
One-Shot Exemplar SVM from the Web for Face Verification.- Unsupervised
Segmentation of RGB-D Images.- Class-Driven Color Transformation forSemantic
Labeling.- Discovering Harmony: A Hierarchical Colour Harmony Model for
Aesthetics Assessment.- Deconstructing Binary Classifiers in Computer
Vision.- Effective Drusen Segmentation from Fundus Images for Age-Related
Macular Degeneration Screening.- Recognizing People by Their Personal
Aesthetics: A Statistical Multi-level Approach.- FASA: Fast, Accurate, and
Size-Aware Salient Object Detection.- Gesture Modeling by Hanklet-Based
Hidden Markov Model.- A Novel Face Spoofing Detection Method Based on Gaze
Estimation.- Hybrid Euclidean-and-Riemannian Metric Learning for Image Set
Classification.- Size and Location Matter: A New Baseline for Salient Object
Detection.- Learning Hierarchical Feature Representation in Depth
Image.- Automatic Wrinkle Detection Using Hybrid Hessian
Filter.- Transductive Transfer Machine.- Fully Automatic Segmentation of Hip
CT Images via Random Forest Regression-Based Atlas Selection and Optimal
Graph Search-Based Surface Detection.- Optimal Transportation for
Example-Guided Color Transfer.- Evaluation of Discriminative Models for the
Reconstruction of Hand-Torn Documents.- Hand Segmentation with Structured
Convolutional Learning.- Topic-Aware Deep Auto-Encoders (TDA) for Face
Alignment.