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    Hallucinating Stereoscopy from a Single Image 

    Zeng, Qiong; Chen, Wenzheng; Wang, Huan; Tu, Changhe; Cohen-Or, Daniel; Lischinski, Dani; Chen, Baoquan (The Eurographics Association and John Wiley & Sons Ltd., 2015)
    We introduce a novel method for enabling stereoscopic viewing of a scene from a single pre-segmented image. Rather than attempting full 3D reconstruction or accurate depth map recovery, we hallucinate a rough approximation ...
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    Structure-Aware Shape Processing 

    Mitra, Niloy J.; Wand, Michael; Zhang, Hao; Cohen-Or, Daniel; Bokeloh, Martin (The Eurographics Association, 2013)
    Shape structure is about the arrangement and relations between shape parts. Structure-aware shape processing goes beyond local geometry and low level processing, and analyzes and processes shapes at a high level. It focuses ...
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    Component-wise Controllers for Structure-Preserving Shape Manipulation 

    Zheng, Youyi; Fu, Hongbo; Cohen-Or, Daniel; Au, Oscar Kin-Chung; Tai, Chiew-Lan (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    Recent shape editing techniques, especially for man-made models, have gradually shifted focus from maintaining local, low-level geometric features to preserving structural, high-level characteristics like symmetry and ...
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    Prior Knowledge for Part Correspondence 

    Kaick, Oliver van; Tagliasacchi, Andrea; Sidi, Oana; Zhang, Hao; Cohen-Or, Daniel; Wolf, Lior; Hamarneh, Ghassan (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    Classical approaches to shape correspondence base their computation purely on the properties, in particular geometric similarity, of the shapes in question. Their performance still falls far short of that of humans in ...
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    Flower Reconstruction from a Single Photo 

    Yan, Feilong; Gong, Minglun; Cohen-Or, Daniel; Deussen, Oliver; Chen, Baoquan (The Eurographics Association and John Wiley and Sons Ltd., 2014)
    We present a semi-automatic method for reconstructing flower models from a single photograph. Such reconstruction is challenging since the 3D structure of a flower can appear ambiguous in projection. However, the flower ...
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    Repetition Maximization based Texture Rectification 

    Aiger, Dror; Cohen-Or, Daniel; Mitra, Niloy J. (The Eurographics Association and John Wiley and Sons Ltd., 2012)
    Many photographs are taken in perspective. Techniques for rectifying resulting perspective distortions typically rely on the existence of parallel lines in the scene. In scenarios where such parallel lines are hard to ...
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    Skeleton-Intrinsic Symmetrization of Shapes 

    Zheng, Qian; Hao, Zhuming; Huang, Hui; Xu, Kai; Zhang, Hao; Cohen-Or, Daniel; Chen, Baoquan (The Eurographics Association and John Wiley & Sons Ltd., 2015)
    Enhancing the self-symmetry of a shape is of fundamental aesthetic virtue. In this paper, we are interested in recovering the aesthetics of intrinsic reflection symmetries, where an asymmetric shape is symmetrized while ...
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    Distilled Collections from Textual Image Queries 

    Averbuch-Elor, Hadar; Wan, Yunhai; Qian, Yiming; Gong, Minglun; Kopf, Johannes; Zhang, Hao; Cohen-Or, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2015)
    We present a distillation algorithm which operates on a large, unstructured, and noisy collection of internet images returned from an online object query. We introduce the notion of a distilled set, which is a clean, ...
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    Seamless Montage for Texturing Models 

    Gal, Ran; Wexler, Yonatan; Ofek, Eyal; Hoppe, Hugues; Cohen-Or, Daniel (The Eurographics Association and Blackwell Publishing Ltd, 2010)
    We present an automatic method to recover high-resolution texture over an object by mapping detailed photographs onto its surface. Such high-resolution detail often reveals inaccuracies in geometry and registration, as ...
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    Optimizing Photo Composition 

    Liu, Ligang; Chen, Renjie; Wolf, Lior; Cohen-Or, Daniel (The Eurographics Association and Blackwell Publishing Ltd, 2010)
    Aesthetic images evoke an emotional response that transcends mere visual appreciation. In this work we develop a novel computational means for evaluating the composition aesthetics of a given image based on measuring several ...
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    Cohen-Or, Daniel (19)
    Zhang, Hao (5)Mitra, Niloy J. (4)Zheng, Youyi (4)Chen, Baoquan (3)Averbuch-Elor, Hadar (2)Fu, Hongbo (2)Gong, Minglun (2)Kopf, Johannes (2)Shamir, Ariel (2)... View MoreSubjectdepth cues (1)I.3.7 [Computer Graphics] (1)I.4.8 [Image Processing and Computer Vision] (1)Picture/Image Generation (1)Scene Analysis (1)viewing algorithms (1)... View MoreDate Issued2010 - 2016 (15)2000 - 2009 (3)1999 - 1999 (1)Has File(s)true (19)

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