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

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  • Formaat: Paperback / softback, 727 pages, kõrgus x laius: 235x155 mm, kaal: 1128 g, 293 Illustrations, black and white; XX, 727 p. 293 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 9003
  • Ilmumisaeg: 23-Apr-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319168649
  • ISBN-13: 9783319168647
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  • Formaat: Paperback / softback, 727 pages, kõrgus x laius: 235x155 mm, kaal: 1128 g, 293 Illustrations, black and white; XX, 727 p. 293 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 9003
  • Ilmumisaeg: 23-Apr-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319168649
  • ISBN-13: 9783319168647
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.
Deep Representations to Model User Likes.- Submodular Reranking with
Multiple Feature Modalities for Image Retrieval.- Accurate Scene Text
Recognition Based on Recurrent Neural Network.- Massive City-Scale Surface
Condition Analysis Using Ground and Aerial Imagery.- Can Visual Recognition
Benefit from Auxiliary Information in Training.- Low Rank Representation on
Grassmann Manifolds.- Learning Detectors Quickly with Stationary
Statistics.- Age Estimation Based on Complexity-Aware Features.- Efficient
On-the-fly Category Retrieval Using ConvNets and GPUs.- A Latent Clothing
Attribute Approach for Human Pose Estimation.- NOKMeans: Non-Orthogonal
K-means Hashing.- Visual Vocabulary with a Semantic Twist.- Context Based
Re-ranking for Object Retrieval.- Adaptive Structural Model for Video Based
Pedestrian Detection.- Fusion of Auxiliary Imaging Information for Robust,
Scalable and Fast 3D Reconstruction.- What Visual Attributes Characterize an
Object Class.- Accurate Object Detection with Location Relaxation and
Regionlets Re-localization.- Unsupervised Feature Learning for RGB-D Image
Classification.- Non-maximum Suppression for Object Detection by Passing
Messages Between Windows.- Stable Radial Distortion Calibration by Polynomial
Matrix Inequalities Programming.- Pedestrian Verification for Multi-Camera
Detection.- Color Photometric Stereo Using a Rainbow Light for Non-Lambertian
Multicolored Surfaces.- Predicting the Location of interactees in Novel
Human-Object Interactions.- Robust Stereo Matching Using Probabilistic
Laplacian Surface Propagation.- Imposing Differential Constraints on Radial
Distortion Correction.- Automatic Shoeprint Retrieval Algorithm for Real
Crime Scenes.- Unstructured Environments for Autonomous Navigation
Systems.- Multiple Stage Residual Model for Accurate Image
Classification.- Hybrid-Indexing Multi-type Features for Large-Scale Image
Search.- Look Closely: Learning Exemplar Patches forRecognizing Textiles from
Product Images.- Action Recognition from a Single Web Image Based on an
Ensemble of Pose Experts.- Scene Text Recognition and Retrieval for Large
Lexicons.- Planar Structures from Line Correspondences in a Manhattan
World.- LBP with Six Intersection Points: Reducing Redundant Information in
LBP-TOP for Micro-expression Recognition.- Deep Convolutional Neural Networks
for Efficient Pose Estimation in Gesture Videos.- Robust Edge Aware
Descriptor for Image Matching.- Robust Binary Feature Using the Intensity
Order.- Minimal Solution for Computing Pairs of Lines in Non-central
Cameras.- Asymmetric Feature Representation for Object Recognition in Client
Server System.- Leveraging High Level Visual Information for Matching Images
and Captions.- Efficient Feature Coding Based on Auto-encoder Network for
Image Classification.- Learning a Representative and Discriminative Part
Model with Deep Convolutional Features for Scene Recognition.- Image
Representation Learning by Deep Appearance and Spatial Coding.- On the
Exploration of Joint Attribute Learning for Person
Re-identification.- Complementary Geometric and Optical Information for
Match-Propagation-Based 3D Reconstruction.- Exploring Image Specific
Structured Loss for Image Annotation with Incomplete Labelling.