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Titlebook: Computer Vision - ACCV 2014 Workshops; Singapore, Singapore C.V. Jawahar,Shiguang Shan Conference proceedings 2015 Springer International P

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书目名称Computer Vision - ACCV 2014 Workshops
副标题Singapore, Singapore
编辑C.V. Jawahar,Shiguang Shan
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Vision - ACCV 2014 Workshops; Singapore, Singapore C.V. Jawahar,Shiguang Shan Conference proceedings 2015 Springer International P
描述The three-volume set, consisting of LNCS 9008, 9009, and 9010, contains carefully reviewed and selected papers presented at 15 workshops held in conjunction with the 12th Asian Conference on Computer Vision, ACCV 2014, in Singapore, in November 2014. The 153 full papers presented were selected from numerous submissions. LNCS 9008 contains the papers selected for the Workshop on Human Gait and Action Analysis in the Wild, the Second International Workshop on Big Data in 3D Computer Vision, the Workshop on Deep Learning on Visual Data, the Workshop on Scene Understanding for Autonomous Systems, and the Workshop on Robust Local Descriptors for Computer Vision. LNCS 9009 contains the papers selected for the Workshop on Emerging Topics on Image Restoration and Enhancement, the First International Workshop on Robust Reading, the Second Workshop on User-Centred Computer Vision, the International Workshop on Video Segmentation in Computer Vision, the Workshop: My Car Has Eyes: Intelligent Vehicle with Vision Technology, the Third Workshop on E-Heritage, and the Workshop on Computer Vision for Affective Computing. LNCS 9010 contains the papers selected for the Workshop on Feature and Simila
出版日期Conference proceedings 2015
关键词Affective computing; Automatic body capture; Face recognition; Fast vehicle detection; Gait recognition
版次1
doihttps://doi.org/10.1007/978-3-319-16631-5
isbn_softcover978-3-319-16630-8
isbn_ebook978-3-319-16631-5Series 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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A Two-Step Image Inpainting Algorithm Using Tensor SVDmethod performs inpainting of the target image in two steps. At the first step, the target region is inpainted using HOSVD-based filtering of the candidate patches selected from the source region. It helps to propagate the structure and color smoothly in the target region and restrict to appear unwa
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Text Localization Based on Fast Feature Pyramids and Multi-Resolution Maximally Stable Extremal Regiion approach that exploits Multi-resolution Maximally Stable Extremal Regions to discard false-positive detections from the text confidence maps generated by a Fast Feature Pyramid based sliding window classifier. The use of a multi-scale approach during both feature computation and connected compon
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A Hybrid Approach to Detect Texts in Natural Scenes by Integration of a Connected-Component Method aoding. Achieving such text detection is challenging due to complex backgrounds, non-uniform illumination, and variations in text font, size, and orientation. In this paper, we present a novel hybrid approach for detecting text robustly in natural scenes. We connect two text-detection methods in para
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Efficient Character Skew Rectification in Scene Text Imagestuitive glyph properties and which can be efficiently computed in a linear time. The estimators are evaluated on a synthetically generated data (including Latin, Cyrillic, Greek, Runic scripts) and real scene text images, where the skew rectification by the proposed method improves the accuracy of a
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