2013 IEEE International Conference on Computer Vision最新文献_第8页

Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors 基于深度传感器的室内场景三维布局及其杂波估计

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.161

Jian Zhang, Chen Kan, A. Schwing, R. Urtasun

引用次数: 78

Multiview Photometric Stereo Using Planar Mesh Parameterization 基于平面网格参数化的多视点测光立体

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.148

Jaesik Park, Sudipta N. Sinha, Y. Matsushita, Yu-Wing Tai, In-So Kweon

引用次数: 49

Illuminant Chromaticity from Image Sequences 来自图像序列的光源色度

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.412

V. Prinet, Dani Lischinski, M. Werman

引用次数: 26

Refractive Structure-from-Motion on Underwater Images 水下图像的运动折射结构

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.14

Anne Jordt, R. Koch

引用次数: 70

Measuring Flow Complexity in Videos 测量视频流的复杂性

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.140

Saad Ali

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引用次数: 19

Semantically-Based Human Scanpath Estimation with HMMs 基于语义的hmm人体扫描路径估计

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.401

Huiying Liu, Dong Xu, Qingming Huang, Wen Li, Min Xu, Stephen Lin

{"title":"Semantically-Based Human Scanpath Estimation with HMMs","authors":"Huiying Liu, Dong Xu, Qingming Huang, Wen Li, Min Xu, Stephen Lin","doi":"10.1109/ICCV.2013.401","DOIUrl":"https://doi.org/10.1109/ICCV.2013.401","url":null,"abstract":"We present a method for estimating human scan paths, which are sequences of gaze shifts that follow visual attention over an image. In this work, scan paths are modeled based on three principal factors that influence human attention, namely low-level feature saliency, spatial position, and semantic content. Low-level feature saliency is formulated as transition probabilities between different image regions based on feature differences. The effect of spatial position on gaze shifts is modeled as a Levy flight with the shifts following a 2D Cauchy distribution. To account for semantic content, we propose to use a Hidden Markov Model (HMM) with a Bag-of-Visual-Words descriptor of image regions. An HMM is well-suited for this purpose in that 1) the hidden states, obtained by unsupervised learning, can represent latent semantic concepts, 2) the prior distribution of the hidden states describes visual attraction to the semantic concepts, and 3) the transition probabilities represent human gaze shift patterns. The proposed method is applied to task-driven viewing processes. Experiments and analysis performed on human eye gaze data verify the effectiveness of this method.","PeriodicalId":6351,"journal":{"name":"2013 IEEE International Conference on Computer Vision","volume":"2010 1","pages":"3232-3239"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86296753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 39

Space-Time Tradeoffs in Photo Sequencing 照片排序中的时空权衡

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.125

Tali Basha, Y. Moses, S. Avidan

引用次数: 24

Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation 局部仿射稀疏到密集匹配的运动和遮挡估计

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.216

Marius Leordeanu, Andrei Zanfir, C. Sminchisescu

{"title":"Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation","authors":"Marius Leordeanu, Andrei Zanfir, C. Sminchisescu","doi":"10.1109/ICCV.2013.216","DOIUrl":"https://doi.org/10.1109/ICCV.2013.216","url":null,"abstract":"Estimating a dense correspondence field between successive video frames, under large displacement, is important in many visual learning and recognition tasks. We propose a novel sparse-to-dense matching method for motion field estimation and occlusion detection. As an alternative to the current coarse-to-fine approaches from the optical flow literature, we start from the higher level of sparse matching with rich appearance and geometric constraints collected over extended neighborhoods, using an occlusion aware, locally affine model. Then, we move towards the simpler, but denser classic flow field model, with an interpolation procedure that offers a natural transition between the sparse and the dense correspondence fields. We experimentally demonstrate that our appearance features and our complex geometric constraints permit the correct motion estimation even in difficult cases of large displacements and significant appearance changes. We also propose a novel classification method for occlusion detection that works in conjunction with the sparse-to-dense matching model. We validate our approach on the newly released Sintel dataset and obtain state-of-the-art results.","PeriodicalId":6351,"journal":{"name":"2013 IEEE International Conference on Computer Vision","volume":"54 1","pages":"1721-1728"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80058196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 74

Modeling the Calibration Pipeline of the Lytro Camera for High Quality Light-Field Image Reconstruction Lytro相机高质量光场图像重建标定管道建模

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.407

Donghyeon Cho, Minhaeng Lee, Sunyeong Kim, Yu-Wing Tai

引用次数: 145

Finding Causal Interactions in Video Sequences 寻找视频序列中的因果关系

2013 IEEE International Conference on Computer Vision Pub Date : 2013-12-01 DOI: 10.1109/ICCV.2013.444

Mustafa Ayazoglu, Burak Yılmaz, M. Sznaier, O. Camps

引用次数: 19