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Titlebook: Computer Vision -- ACCV 2014; 12th Asian Conferenc Daniel Cremers,Ian Reid,Ming-Hsuan Yang Conference proceedings 2015 Springer Internation

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發(fā)表于 2025-3-21 19:42:25 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computer Vision -- ACCV 2014
副標(biāo)題12th Asian Conferenc
編輯Daniel Cremers,Ian Reid,Ming-Hsuan Yang
視頻videohttp://file.papertrans.cn/235/234016/234016.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision -- ACCV 2014; 12th Asian Conferenc Daniel Cremers,Ian Reid,Ming-Hsuan Yang Conference proceedings 2015 Springer Internation
描述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.
出版日期Conference proceedings 2015
關(guān)鍵詞information retrieval; large datasets; machine learning; multi-view stereo; video segmentation
版次1
doihttps://doi.org/10.1007/978-3-319-16814-2
isbn_softcover978-3-319-16813-5
isbn_ebook978-3-319-16814-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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DMM-Pyramid Based Deep Architectures for Action Recognition with Depth Camerasd 3D positions of skeleton joints tracked by depth camera like Kinect sensors open up new possibilities of dealing with recognition task. Current methods mostly build classifiers based on complex features computed from the depth data. As a deep model, convolutional neural networks usually utilize th
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Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interactione level feature that captures the ordinal pattern among a group of low level features. For skeletons, an orderlet captures specific spatial relationship among a group of joints. For a depth map, an orderlet characterizes a comparative relationship of the shape information among a group of subregions
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Anomaly Detection via Local Coordinate Factorization and Spatio-Temporal Pyramidincreasing interest and is still a challenge in computer vision community. In this paper, we propose an efficient anomaly detection approach which can perform both real-time and multi-scale detection. Our approach can handle the change of background. Specifically, Local Coordinate Factorization is u
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Intrinsic Image Decomposition from Pair-Wise Shading Orderingading image from shading orders between pairs of pixels. The pairwise shading orders are measured by two types of methods: the brightness order and the low-order fittings of local shading field. The brightness order is a non-local measure, which does not rely on local gradients, and can be applied t
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Blur-Resilient Tracking Using Group Sparsity a template set. Since blur templates of different directions are added to the template set to accommodate motion blur, there is a natural group structure among the templates. In order to enforce the solution of the sparse approximation problem to have group structure, we employ the mixed . norm to
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