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Titlebook: Computer Vision -- ECCV 2014; 13th European Confer David Fleet,Tomas Pajdla,Tinne Tuytelaars Conference proceedings 2014 Springer Internati

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發(fā)表于 2025-3-21 17:09:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Computer Vision -- ECCV 2014
副標(biāo)題13th European Confer
編輯David Fleet,Tomas Pajdla,Tinne Tuytelaars
視頻videohttp://file.papertrans.cn/235/234171/234171.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computer Vision -- ECCV 2014; 13th European Confer David Fleet,Tomas Pajdla,Tinne Tuytelaars Conference proceedings 2014 Springer Internati
描述The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014.The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.
出版日期Conference proceedings 2014
關(guān)鍵詞3D; activity recognition and understanding; artificial intelligence; computational photography; computer
版次1
doihttps://doi.org/10.1007/978-3-319-10584-0
isbn_softcover978-3-319-10583-3
isbn_ebook978-3-319-10584-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

書(shū)目名稱(chēng)Computer Vision -- ECCV 2014影響因子(影響力)




書(shū)目名稱(chēng)Computer Vision -- ECCV 2014影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Computer Vision -- ECCV 2014網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Computer Vision -- ECCV 2014被引頻次




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書(shū)目名稱(chēng)Computer Vision -- ECCV 2014年度引用




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書(shū)目名稱(chēng)Computer Vision -- ECCV 2014讀者反饋




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Narcissus and Dionysus: , and ,ing problem, however, existing generic deblurring methods are not able to achieve satisfying results on blurry face images. The success of the state-of-the-art image deblurring methods stems mainly from implicit or explicit restoration of salient edges for kernel estimation. When there is not much t
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https://doi.org/10.1007/978-94-015-0941-1raditional local descriptors such as SIFT, ASR inherently encodes local information of multi-view patches, making it robust to affine distortions while maintaining a high discriminative ability. To this end, PCA is used to represent affine-warped patches as PCA-patch vectors for its compactness and
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https://doi.org/10.1007/978-1-4613-0115-8ess the problem of detecting changes in an image affected by motion blur and rolling shutter artifacts with respect to a reference image. Our framework bundles modelling of motion blur in global shutter and rolling shutter cameras into a single entity. We leverage the sparsity of the camera trajecto
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