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Feature Ensemble Network with Occlusion Disambiguation for Accurate Patch-Based Stereo Matching
2017
IEICE transactions on information and systems
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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]
2021
arXiv
pre-print
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2019 pre-print arXiv:1704.05519v2 fatcat:vg2fezsgyzgptbpbvnwcpw24qyOther Versions
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]
2002
Lecture Notes in Computer Science
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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
1996
Artificial Intelligence
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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]
2017
arXiv
pre-print
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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]
2020
arXiv
pre-print
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., 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
2015
IEICE transactions on information and systems
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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
2003
Procedings of the British Machine Vision Conference 2003
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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]
2009
Human Factors and Ergonomics
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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]
2019
arXiv
pre-print
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2018 pre-print arXiv:1809.03193v1 fatcat:regs42ec3jbsjop634h3nvkxba
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
2009
PLoS ONE
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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]
2021
arXiv
pre-print
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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
2021
2020 25th International Conference on Pattern Recognition (ICPR)
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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)
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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
2004
Annual Review of Psychology
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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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