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Multilevel enhancement and detection of stereo disparity surfaces

Yibing Yang, Alan L. Yuille
1995 Artificial Intelligence  
The SDS images represents the goodness of each and every possible match. A nonlinear filter is proposed for enhancing the disparity surface in the SDS image and for suppressing the noise.  ...  In contrast to previous work, this approach formulates the matching problem as detection of a "bright", coherent disparity surface in a 3D image called the spatio-disparity space (SDS) image.  ...  We also thank anonymous reviewers for constructive comments which greatly enhanced the presentation of this paper.  ... 
doi:10.1016/0004-3702(95)00028-3 fatcat:lcjzoq7c7jbohf66xgjub6nopq

Boosting with stereo features for building facade detection on mobile platforms

Jeffrey A. Delmerico, Jason J. Corso, Philip David
2010 2010 Western New York Image Processing Workshop  
Our underlying application is building facade detection on mobile stereo vision platforms.  ...  Example features we propose exploit the algebraic constraints of the planar building facades and depth gradient statistics. We've implemented the features and tested the framework on real stereo data.  ...  A portion of this work was completed while J.D. was an intern at the United States Army Research Laboratory.  ... 
doi:10.1109/wnyipw.2010.5649753 fatcat:7jisdexcrjd73jets7zhqd2ole

Building facade detection, segmentation, and parameter estimation for mobile robot stereo vision

Jeffrey A. Delmerico, Philip David, Jason J. Corso
2013 Image and Vision Computing  
The proposed method incorporates multilevel appearance and disparity features in a binary discriminative model, and generates a set of candidate planes by sampling and clustering points from the image  ...  Toward that end, we present a system for detection, segmentation, and parameter estimation of building facades in stereo imagery.  ...  We are also thankful the support of the United States Army Research Laboratory.  ... 
doi:10.1016/j.imavis.2013.08.006 fatcat:mklpsfqjuzc4ppg5oeavqdb3ji

Fast stereo matching using multilevel enhancement

Jaeweon Kim, S. Shah
2000 Proceedings of the Third International Conference on Information Fusion  
Some of the efficient and robust implementation aspects of the stereo matching algorithms based on thresholding of correlation values of previous pyramid structures that reduce the search area for finding  ...  This paper presents a new approach for fast and accurate stereo correspondence.  ...  Differences of stereo pair might be caused by occlusion of objects, specular reflections, which move independently of the surfaces of objects, sensor noise and various other causes.  ... 
doi:10.1109/ific.2000.859825 fatcat:cfyxirtsvzh4ni2zja3meiuame

An Automatic Segmentation Method for Printed Circuit Board Welding Component under Stereo Optical Microscope

Yi LIU, Mei YU, Li CUI, Gang-Yi JIANG, Yi-Gang WANG, Sheng-Li FAN
2016 Sensors & Transducers  
The proposed method considers the characteristic of welded component on the foreground region of PCB and uses unparallel stereo microscopic image to obtain foreground mask of disparity map.  ...  Then, disparity map is obtained by using the non-local filter algorithm on parallel stereo microscopic image, and foreground mask of disparity map is extracted by applying the mean-threshold method.  ...  Mean-threshold Foreground Mask Extracting Supposed that PCB surface and camera's image plane are parallel, the disparity of same plane should be identical.  ... 
doaj:f063bd5e559c4311b579a54d1272b662 fatcat:ewo7cnqskveq5mn2de7wyhczbm

Operational retrieval of cloud-top heights using MISR data

C. Moroney, R. Davies, J.-P. Muller
2002 IEEE Transactions on Geoscience and Remote Sensing  
The limitations of the technique, resulting at times in height blunders, noisy retrievals, and discrete effects of wind correction, are discussed.  ...  Cloud-top height is generally obtained on a 1.1-km grid with an accuracy of 562 m, even over snow and ice.  ...  Diner of the Jet Propulsion Laboratory is the principal investigator of MISR. The authors would like to thank Á. Horváth for the example of the MISR cloud-motion retrieval, R. Dundas and K.  ... 
doi:10.1109/tgrs.2002.801150 fatcat:5ap73gqm35g4xonygczg7c4fbe

Efficient Disparity Estimation Using Hierarchical Bilateral Disparity Structure Based Graph Cut Algorithm With a Foreground Boundary Refinement Mechanism

Yu-Chih Wang, Cheng-Ping Tung, Pau-Choo Chung
2013 IEEE transactions on circuits and systems for video technology (Print)  
The efficiency and accuracy of the HBDS-based GC algorithm are compared with those of the conventional GC method using benchmark stereo images selected from the Middlebury dataset.  ...  by dividing all the disparity levels within the stereo image hierarchically into a series of bilateral disparity structures of increasing fineness.  ...  and an improved smoothness of the object surfaces [7] .  ... 
doi:10.1109/tcsvt.2012.2223633 fatcat:fg4yru4idjgsxfqchuejhpqbde

Stereo R-CNN based 3D Object Detection for Autonomous Driving [article]

Peiliang Li, Xiaozhi Chen, Shaojie Shen
2019 arXiv   pre-print
Experiments on the challenging KITTI dataset show that our method outperforms the state-of-the-art stereo-based method by around 30% AP on both 3D detection and 3D localization tasks.  ...  Our method, called Stereo R-CNN, extends Faster R-CNN for stereo inputs to simultaneously detect and associate object in left and right images.  ...  [27] proposes an end-to-end multilevel fusion approach to detect 3D object by concatenating the RGB image and the monocular-generated depth map.  ... 
arXiv:1902.09738v2 fatcat:5oe5woyjrzfgxmom6j3pwi7s3m

Review of Stereo Matching Algorithms Based on Deep Learning

Kun Zhou, Xiangxi Meng, Bo Cheng
2020 Computational Intelligence and Neuroscience  
Stereo vision is a flourishing field, attracting the attention of many researchers.  ...  This review presents an overview of different stereo matching algorithms based on deep learning.  ...  Introduction Stereo disparity estimation is one of the most important problems in computer vision. e disparity map has a wide range of applications, including robotics [1] , object detection [2] , remote  ... 
doi:10.1155/2020/8562323 pmid:32273887 pmcid:PMC7125450 fatcat:ijeglgqctzfedefjitkapcj5be

Forthcoming papers

1995 Artificial Intelligence  
Dyer, Global surface reconstruction by purposive control of observer motion Y. Yang and A.L. Yuille, Multilevel enhancement and detection of stereo disparity surfaces D.A. Reece and S.A.  ...  Basri and E. Rivlin, Localization and homing using combinations of model views Z. Zhang, R. Deriche, 0. Faugeras and Q.-T.  ... 
doi:10.1016/0004-3702(95)90039-x fatcat:fj25wqzozrdvlat42blg5gx5ai

Forthcoming Papers

1995 Artificial Intelligence  
More matches are eventually found, as in stereo matching, by using the recovered epipolar geometry. A large number of experiments have been carried out, and very good results have been obtained.  ...  Schwarz, In search of a "true" logic of knowledge: the nonmonotonic perspective M. Stefik and S. Smoliar, The Creative Mind: Myths and Mechanisms: six reviews and a response K.B.  ...  Yuille, Multilevel enhancement and detection of stereo disparity surfaces The problem of stereo vision has been of increasing interest to the computer vision community over the past decade.  ... 
doi:10.1016/0004-3702(95)90021-7 fatcat:dlj6ovgfqjerjmq76jkssdcy3e

A Multilevel Mixture-of-Experts Framework for Pedestrian Classification

M. Enzweiler, D. M. Gavrila
2011 IEEE Transactions on Image Processing  
We present a novel multilevel Mixture-of-Experts approach to combine information from multiple features and cues with the objective of improved pedestrian classification.  ...  Our results show a significant performance boost of up to a factor of 42 in reduction of false positives at constant detection rates of our approach compared to a baseline intensity-only HOG/linSVM approach  ...  Schnörr (Image and Pattern Analysis Group, University of Heidelberg, Germany), who provided helpful comments and discussions.  ... 
doi:10.1109/tip.2011.2142006 pmid:21486715 fatcat:acj5noyrqnbm5a2ipb6yqfikyq

Large-Scale Semantic 3D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part A

Saket Kunwar, Hongyu Chen, Manhui Lin, Hongyan Zhang, Pablo Dangelo, Daniele Cerra, Seyed Majid Azimi, Myron Brown, Gregory Hager, Naoto Yokoya, Ronny Hansch, Bertrand Le Saux
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In this article, we present the scientific outcomes of the 2019 Data Fusion Contest organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society  ...  Index Terms-Classification, convolutional neural network (CNN), Data Fusion Contest (DFC), deep learning, elevation model, height estimation, image analysis and data fusion (IADF), light detection and  ...  The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA  ... 
doi:10.1109/jstars.2020.3032221 fatcat:2j4er43i7bbs5n23bhad5fnyca

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
The mathematical framework of the new approach is formulated and proved, and an algorithm is also proposed.  ...  Applying a systematic literature review (SLR) protocol over seven major scientific collections and citation databases, an initial sample of 4870 studies was retrieved, filtered, selected, reviewed, and  ...  Fast Pedestrian Detection With Attention-Enhanced Multi-Scale RPN and Soft-Cascaded Decision Trees H. Wang, Y. Li, and S.  ... 
doi:10.1109/tits.2020.3036973 fatcat:ar5tkatrynhkjm4iqjqgnsniry

Group-Based Atrous Convolution Stereo Matching Network

Qijie Zou, Jing Yu, Hui Fang, Jing Qin, Jie Zhang, Shengkai Liu, Chi-Hua Chen
2021 Wireless Communications and Mobile Computing  
Given a pair of rectified images, stereo matching determines correspondences between the pair images and estimate depth by obtaining disparity between corresponding pixels.  ...  The group-based atrous convolution stereo matching network is evaluated on the street scene benchmark KITTI 2015 and Scene Flow and achieves state-of-the-art performance.  ...  Conventional stereo matching can be expressed as a multilevel optimization problem, which generally includes four steps: matching cost calculation, cost aggregation, disparity calculation, and disparity  ... 
doi:10.1155/2021/7386280 fatcat:dmnxhftlqjgzfevui6qtncf7uq
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