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Feature Ensemble Network with Occlusion Disambiguation for Accurate Patch-Based Stereo Matching

Xiaoqing YE, Jiamao LI, Han WANG, Xiaolin ZHANG
2017 IEICE transactions on information and systems  
In this letter, a novel stereo matching method, consisting of leveraging feature ensemble network to compute matching cost, error detection network to predict outliers and priority-based occlusion disambiguation  ...  , patch-based, occlusion disambiguation  ...  Feature Ensemble Network In this work, we focus on the patch-based network due to its robustness and low requirement for large dataset and GPU memory.  ... 
doi:10.1587/transinf.2017edl8122 fatcat:mqrswykkw5coxdskrjutchb7ae

Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art [article]

Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger
2021 arXiv   pre-print
As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the field as a beginner.  ...  While several survey papers on particular sub-problems have appeared, no comprehensive survey on problems, datasets, and methods in computer vision for autonomous vehicles has been published.  ...  Patch-based Multi-View Stereo (PMVS) Furukawa and Ponce [217] starts with a feature matching step to generate a sparse set of patches and then iterates between a greedy expansion step and a filtering  ... 
arXiv:1704.05519v3 fatcat:xiintiarqjbfldheeg2hsydyra

Object Perception: Generative Image Models and Bayesian Inference [chapter]

Daniel Kersten
2002 Lecture Notes in Computer Science  
The visual system does this by integrating prior object knowledge with critical image features appropriate for each of a discrete number of tasks.  ...  However, formulating optimal theories for realistic vision problems is a non-trivial problem, and we can gain insight into visual inference by first characterizing the causal structure of image features-the  ...  When an observer is asked to match the surface color to the i th test patch, the optimal decision is based on P (ρ i 1 |C obs ), which is obtained by integrating out x and the confounding variable α from  ... 
doi:10.1007/3-540-36181-2_21 fatcat:qna36b6rybb2lcqprprnnkdwdi

Active surface estimation: integrating coarse-to-fine image acquisition and estimation from multiple cues

Subhodev Das, Narendra Ahuja
1996 Artificial Intelligence  
This paper is concerned with the problem of surface reconstruction from stereo images for large scenes having large depth ranges with depth discontinuities.  ...  The passive stereo paradigm is inadequate for this problem because of the need to aim cameras in different directions and to fixate at different objects.  ...  A coarse estimate of the surface under reconstruction from focus was used by stere'o to predict matches for the surface features, generate depth points from the matches, and interpolate a more accurate  ... 
doi:10.1016/0004-3702(95)00036-4 fatcat:dp7wgb7ifzfb5ctfmk3nxwpbt4

A Survey of Structure from Motion [article]

Onur Ozyesil, Vladislav Voroninski, Ronen Basri, Amit Singer
2017 arXiv   pre-print
Further, our survey includes a review of the fundamentals of feature extraction and matching (i.e., stage (1) above), various recent methods for handling ambiguities in 3D scenes, SfM techniques involving  ...  More specifically, after touching upon the early factorization-based techniques for motion and structure estimation, we provide a detailed account of some of the recent camera location estimation methods  ...  An accurate algorithm for this purpose, namely patch-based multi-view stereo software (PMVS), which is based on a three-step procedure of matching, expansion, and filtering of patches of keypoints 20 ,  ... 
arXiv:1701.08493v2 fatcat:44hrgmeiujaqtggdztx57ew44i

Analysis of the hands in egocentric vision: A survey [article]

Andrea Bandini, José Zariffa
2020 arXiv   pre-print
., systems that used egocentric hand cues for solving a specific problem). Moreover, a list of the most prominent datasets with hand-based annotations is provided.  ...  The authors would also like to thank Gustavo Balbinot, Guijin Li, and Mehdy Dousty for the helpful discussions and feedback.  ...  Patch-based classification.  ... 
arXiv:1912.10867v2 fatcat:rd2cu3jbkvbvnii5s7fh5c2ncq

The State-of-the-Art in Handling Occlusions for Visual Object Tracking

Kourosh MESHGI, Shin ISHII
2015 IEICE transactions on information and systems  
Finally, areas of potential for future research are presented.  ...  This is followed by a novel taxonomy of types of occlusion and challenges arising from it, during and after the emergence of an occlusion.  ...  We would also like to thank Maryam Sadat Mirzaei for proofreading the manuscript.  ... 
doi:10.1587/transinf.2014edr0002 fatcat:bhjphhgpind55c5by35ik3yphq

Interleaved Object Categorization and Segmentation

B. Leibe, B. Schiele
2003 Procedings of the British Machine Vision Conference 2003  
During recognition, these features are matched to patches extracted from the image to obtain object-part hypotheses, which are combined with pixel groupings based on orientation energy.  ...  While approaches based on stereo matching techniques, such as (Lowe, 1999; Ferrari et al., 2004) , can robustly identify known objects already from a small number of matches, this task is much harder  ... 
doi:10.5244/c.17.78 dblp:conf/bmvc/LeibeS03 fatcat:tdpwrxy44be73ctuxzdeyop26q

Vision-Based Hand Gesture Recognition for Human-Computer Interaction [chapter]

Xenophon Zabulis, Haris Baltzakis, Antonis Argyros
2009 Human Factors and Ergonomics  
In [TVdM98] , stereo is combined with skin color to optimize the robustness of tracking and in [ETK91] to cope with occlusions.  ...  These are subsequently utilized for model based tracking of the hands. In [NR98] , artificial neural networks that are trained with body landmarks, are utilized for the detection of hands in images.  ... 
doi:10.1201/9781420064995-c34 fatcat:ethpj6kys5dpdjihszbkjgqewa

Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks [article]

Shivang Agarwal, Jean Ogier Du Terrail, Frédéric Jurie
2019 arXiv   pre-print
This strong interest can be explained not only by the importance this task has for many applications but also by the phenomenal advances in this area since the arrival of deep convolutional neural networks  ...  This article reviews the recent literature on object detection with deep CNN, in a comprehensive way, and provides an in-depth view of these recent advances.  ...  match features ob-tained with well resolved objects.  ... 
arXiv:1809.03193v2 fatcat:wj2bu3ewvbdq5fjyvrbqewpxzu

Extraction of Surface-Related Features in a Recurrent Model of V1-V2 Interactions

Ulrich Weidenbacher, Heiko Neumann, Eshel Ben-Jacob
2009 PLoS ONE  
In addition, we compare our extracted junction signals with a standard computer vision approach for junction detection to demonstrate that our approach outperforms simple feedforward computation-based  ...  One way for the human visual system to infer monocular depth cues could be to extract and interpret occlusions.  ...  In addition, stereo information can also help to correctly identify occlusion-based junctions.  ... 
doi:10.1371/journal.pone.0005909 pmid:19526061 pmcid:PMC2691604 fatcat:ein3tfiffrec5alpvuw7mrhcu4

A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond [article]

Elena Garces, Carlos Rodriguez-Pardo, Dan Casas, Jorge Lopez-Moreno
2021 arXiv   pre-print
the image formation process, that is, optically accurate material models and geometry, and more complete inverse light transport estimations.  ...  We also provide insights about future directions for research, given the recent advances in neural, inverse and differentiable rendering techniques.  ...  This error metric may be more perceptually accurate than using simple pixel-wise metrics, but it fails to account for the intensity of the relative lightness values (e.g. how much lighter one patch of  ... 
arXiv:2112.03842v1 fatcat:ciwwxoodq5fl7ma4jqjrgp7k5m

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
Contain Disparity Edge for Stereo Matching DAY 4 -Jan 15, 2021 Xu, Wei; Gan, Yi; Su, Jianbo 2199 Bidirectional Matrix Feature Pyramid Network for Object Detection DAY 4 -Jan 15, 2021 Tian, Kun; Zhou,  ...  , Ramy; Wasenmüler, Oliver; Stricker, Didier 48 OS T5.1 ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching DAY 1 -Jan 12, 2021 -DAY  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

Conference Guide [Front matter]

2020 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)  
The network contains a novel feature extractor and a stereo matching module which follows a light-weight manner to guarantee this work practical for real robotic applications.  ...  In this study, we aim for automatic parameter optimization of feature matching-based object recognition algorithms.  ...  When the communication network meets the necessary connectivity, we develop a variation of so-called ratio consensus algorithm that deal with malicious attacks.  ... 
doi:10.1109/icarcv50220.2020.9305477 fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi

Object Perception as Bayesian Inference

Daniel Kersten, Pascal Mamassian, Alan Yuille
2004 Annual Review of Psychology  
Moreover, the image features of an object are extremely variable and ambiguous owing to the effects of projection, occlusion, background clutter, and illumination.  ...  image features.  ...  Fleming et al. (2003) showed that human observers could match surface reflectance properties more reliably and accurately for more realistic patterns of illumination.  ... 
doi:10.1146/annurev.psych.55.090902.142005 pmid:14744217 fatcat:vqggertz4rdq7g5bjnfkvr6awu
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