Computer vision-- ACCV 2012 [electronic resource] : 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised selected papers. Part I / Kyoung Mu Lee [and others] (eds.)
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...
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| Other title: | ACCV 2012. |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2013.
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| Series: | Lecture notes in computer science ;
7724. LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics. |
| Subjects: |
MARC
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| 245 | 1 | 0 | |a Computer vision-- ACCV 2012 |h [electronic resource] : |b 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised selected papers. |n Part I / |c Kyoung Mu Lee [and others] (eds.) |
| 246 | 3 | |a ACCV 2012. | |
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| 490 | 1 | |a Lecture notes in computer science, |x 0302-9743 ; |v 7724. | |
| 490 | 1 | |a LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics. | |
| 505 | 0 | 0 | |t Oral Session 1: Object Detection and Learning. |t Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer / |r Tatiana Tommasi [and others] -- |t Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes / |r Feng-Ju Chang, Yen-Yu Lin, Ming-Fang Weng -- |t Human Reidentification with Transferred Metric Learning / |r Wei Li, Rui Zhao, Xiaogang Wang -- |t Poster Session 1: Object Detection, Learning and Matching. |t Tell Me What You Like and I'll Tell You What You Are: Discriminating Visual Preferences on Flickr Data / |r Pietro Lovato [and others] -- |t Local Context Priors for Object Proposal Generation / |r Marko Ristin, Juergen Gall, Luc Van Gool -- |t Arbitrary-Shape Object Localization Using Adaptive Image Grids / |r Chunluan Zhou, Junsong Yuan -- |t Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences / |r Yuko Ozasa [and others] |
| 505 | 8 | 0 | |t Class-Specific Weighted Dominant Orientation Templates for Object Detection / |r Hui-Jin Lee, Ki-Sang Hong -- |t Salient Object Detection via Color Contrast and Color Distribution / |r Keren Fu [and others] -- |t Data Decomposition and Spatial Mixture Modeling for Part Based Model / |r Junge Zhang [and others] -- |t Appearance Sharing for Collective Human Pose Estimation / |r Marcin Eichner, Vittorio Ferrari -- |t Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching / |r Angela Eigenstetter, Pradeep Krishna Yarlagadda, Björn Ommer -- |t Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection / |r Bo Li [and others] -- |t The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image / |r Konstantinos Rematas, Mario Fritz, Tinne Tuytelaars -- |t Local Hypersphere Coding Based on Edges between Visual Words / |r Weiqiang Ren [and others] |
| 505 | 8 | 0 | |t Spatially Local Coding for Object Recognition / |r Sancho McCann, David G. Lowe -- |t Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach / |r Björn Fröhlich, Erik Rodner, Joachim Denzler -- |t Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets / |r Sandra Ebert, Mario Fritz, Bernt Schiele -- |t One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery / |r Xinggang Wang [and others] -- |t Online Semi-Supervised Discriminative Dictionary Learning for Sparse Representation / |r Guangxiao Zhang, Zhuolin Jiang, Larry S. Davis -- |t Efficient Discriminative Learning of Class Hierarchy for Many Class Prediction / |r Lin Chen [and others] -- |t Oral Session 2: Object Recognition I. |t Grouping Active Contour Fragments for Object Recognition / |r Wei Zheng [and others] -- |t Detecting Partially Occluded Objects with an Implicit Shape Model Random Field / |r Paul Wohlhart [and others] |
| 505 | 8 | 0 | |t Relative Forest for Attribute Prediction / |r Shaoxin Li, Shiguang Shan, Xilin Chen -- |t Discriminative Dictionary Learning with Pairwise Constraints / |r Huimin Guo, Zhuolin Jiang, Larry S. Davis -- |t Poster Session 2: Feature, Representation, and Recognition -- |t Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition / |r Yinfu Feng [and others] -- |t Iris Recognition Using Consistent Corner Optical Flow / |r Aditya Nigam, Phalguni Gupta -- |t Face Recognition in Videos -- A Graph Based Modified Kernel Discriminant Analysis / |r Gayathri Mahalingam, Chandra Kambhamettu -- |t Learning Hierarchical Bag of Words Using Naive Bayes Clustering / |r Siddhartha Chandra, Shailesh Kumar, C.V. Jawahar -- |t Efficient Human Parsing Based on Sketch Representation / |r Meng Wang, Zhaoxiang Zhang, Yunhong Wang -- |t Exclusive Visual Descriptor Quantization / |r Yu Zhang, Jianxin Wu, Weiyao Lin -- |t Underwater Live Fish Recognition Using a Balance-Guaranteed Optimized Tree / |r Phoenix X. Huang, Bastiaan J. Boom, Robert B. Fisher. |
| 505 | 8 | 0 | |t Local 3D Symmetry for Visual Saliency in 2.5D Point Clouds / |r Ekaterina Potapova, Michael Zillich, Markus Vincze -- |t Exploiting Features -- Locally Interleaved Sequential Alignment for Object Detection / |r Karel Zimmermann, David Hurych, Tomáš Svoboda -- |t Efficient and Scalable 4th-Order Match Propagation / |r David Ok, Renaud Marlet, Jean-Yves Audibert -- |t Hierarchical Object Representations for Visual Recognition via Weakly Supervised Learning / |r Tianzhu Zhang [and others] -- |t Invariant Surface-Based Shape Descriptor for Dynamic Surface Encoding / |r Tony Tung, Takashi Matsuyama -- |t Linear Discriminant Analysis with Maximum Correntropy Criterion / |r Wei Zhou, Sei-ichiro Kamata -- |t AfNet: The Affordance Network / |r Karthik Mahesh Varadarajan, Markus Vincze -- |t A Directed Graphical Model for Linear Barcode Scanning from Blurred Images / |r Ling Chen -- |t A Probabilistic 3D Model Retrieval System Using Sphere Image / |r Ke Ding, Yunhui Liu. |
| 505 | 8 | 0 | |t Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes / |r Stefan Hinterstoisser [and others] -- |t Boosting with Side Information / |r Jixu Chen, Xiaoming Liu, Siwei Lyu -- |t Generalized Mutual Subspace Based Methods for Image Set Classification / |r Takumi Kobayashi -- |t Oral Session 3: Segmentation and Grouping. |t Simultaneous Monocular 2D Segmentation, 3D Pose Recovery and 3D Reconstruction / |r Victor Adrian Prisacariu, Aleksandr V. Segal, Ian Reid -- |t Joint Kernel Learning for Supervised Image Segmentation / |r Jongmin Kim [and others] -- |t Application of Heterogenous Motion Models towards Structure Recovery from Motion / |r Rohith M.V., Chandra Kambhamettu -- |t Poster Session 3: Segmentation, Grouping, and Classification. |t Locality-Constrained Active Appearance Model / |r Xiaowei Zhao [and others] -- |t Modeling Hidden Topics with Dual Local Consistency for Image Analysis / |r Peng Li, Jian Cheng, Hanqing Lu -- |t Design of Non-Linear Discriminative Dictionaries for Image Classification / |r Ashish Shrivastava [and others] |
| 505 | 8 | 0 | |t Efficient Background Subtraction under Abrupt Illumination Variations / |r Junqiu Wang, Yasushi Yagi -- |t Naive Bayes Image Classification: Beyond Nearest Neighbors / |r Radu Timofte, Tinne Tuytelaars, Luc Van Gool -- |t Contextual Pooling in Image Classification / |r Zifeng Wu [and others] -- |t Spatial Graph for Image Classification / |r Zifeng Wu [and others] -- |t Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation / |r Jie-Zhi Cheng [and others] -- |t Efficient Pixel-Grouping Based on Dempster's Theory of Evidence for Image Segmentation / |r Björn Scheuermann, Markus Schlosser, Bodo Rosenhahn -- |t Video Segmentation with Superpixels / |r Fabio Galasso, Roberto Cipolla, Bernt Schiele -- |t A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation / |r Di Yang, Stephen Gould, Marcus Hutter -- |t Active Learning for Interactive Segmentation with Expected Confidence Change / |r Dan Wang [and others] -- |t Cross Anisotropic Cost Volume Filtering for Segmentation / |r Vladislav Kramarev [and others] |
| 500 | |a Includes author index. | ||
| 520 | |a 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. | ||
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| 655 | 7 | |a Conference papers and proceedings. |2 fast |0 (OCoLC)fst01423772. | |
| 700 | 1 | |a Lee, Kyoung Mu. |0 http://id.loc.gov/authorities/names/nb2013009486. | |
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