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Entropy based Log Chromaticity Projection for Real-time Stereo Matching

U. Raghavendra, Makkithaya Krishnamoorthi, A.K. Karunakar
2012 Procedia Technology - Elsevier  
Normalized cross correlation based similarity measure is applied on the generated invariant image and the obtained disparity outperforms some of the local and global stereo algorithms.  ...  Most of the existing stereo matching algorithms will assume a similar corresponding color values between stereo images.  ...  Acknowledgements This research work is carried out under the scheme of Manipal University PhD with scholarship.  ... 
doi:10.1016/j.protcy.2012.10.027 fatcat:jxft4tk54fgqvlky2oaqxo6nh4

Window-based approach for fast stereo correspondence

Raj Kumar Gupta, Siu-Yeung Cho
2013 IET Computer Vision  
Evaluations on the benchmark Middlebury stereo datasets have been performed to demonstrate the qualitative and quantitative performance of the proposed algorithm.  ...  The selection of appropriate shape and size of the matching window is a difficult problem for correlation-based algorithms.  ...  Local stereo-matching algorithms can be subdivided into two broad categories: area-based algorithms and feature-based algorithms.  ... 
doi:10.1049/iet-cvi.2011.0077 fatcat:u7ggfslnbff5leztl4pkwbfpsm

Efficient Stereo and Optical Flow with Robust Similarity Measures [chapter]

Christian Unger, Eric Wahl, Slobodan Ilic
2011 Lecture Notes in Computer Science  
In this paper we address the problem of dense stereo matching and computation of optical flow.  ...  We propose a generalized dense correspondence computation algorithm, so that stereo matching and optical flow can be performed robustly and efficiently at the same time.  ...  Acknowledgements: We would like to thank Daniel Scharstein and Richard Szeliski for providing stereo images with ground truth data. This work is supported by the BMW Group.  ... 
doi:10.1007/978-3-642-23123-0_25 fatcat:b4x34iy76bebjhjn4pzhok7wee

Towards benchmarking of real-world stereo data

Ralf Haeusler, Sandino Morales, Simon Hermann, Reinhard Klette
2010 2010 25th International Conference of Image and Vision Computing New Zealand  
The paper proposes the prediction of stereo matching performance based on analyzing the given stereo data (and not based on test runs of stereo matching algorithms).  ...  For justifying our approach we compare results obtained by prediction error analysis (for different stereo matching algorithms) with three different data evaluation techniques: a count of SIFT matches,  ...  INTRODUCTION Quantitative evaluation of stereo methods supports progress in improving the performance of stereo matching methods.  ... 
doi:10.1109/ivcnz.2010.6148827 fatcat:nz5fojwwbbb5jmhyo4hxkpk42e

Local Signal Equalization for Correspondence Matching

Derek Bradley, Thabo Beeler
2013 2013 IEEE International Conference on Computer Vision  
Our approach allows better correspondence matching, which we demonstrate with a number of stereo reconstruction examples on synthetic and real datasets.  ...  Correspondence matching is one of the most common problems in computer vision, and it is often solved using photo-consistency of local regions.  ...  Fig. 7 shows a qualitative evaluation and Table 1 lists quantitative measurements.  ... 
doi:10.1109/iccv.2013.236 dblp:conf/iccv/BradleyB13 fatcat:qb4f7iuslvgyzcuf4tefazfo5m

Discontinuity preserving stereo with small baseline multi-flash illumination

R. Feris, R. Raskar, Longbin Chen, Kar-Han Tan, M. Turk
2005 Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1  
We start by showing a method to compute a qualitative depth map from a single camera, which encodes object relative distances and can be used as a prior for stereo.  ...  We start by showing a method to compute a qualitative depth map from a single camera, which encodes object relative distances and can be used as a prior for stereo.  ...  Our methods include the derivation of a qualitative depth map from one single camera, detection of binocular halfocclusions, and enhanced local and global stereo algorithms based on these features.  ... 
doi:10.1109/iccv.2005.76 dblp:conf/iccv/FerisRCTT05 fatcat:cwlawtc5v5dqzlexa4767awfia

A foreground object based quantitative assessment of dense stereo approaches for use in automotive environments

Oliver K. Hamilton, Toby P. Breckon, Xuejiao Bai, Sei-ichiro Kamata
2013 2013 IEEE International Conference on Image Processing  
In this paper we evaluate a range of dense stereo algorithms, using a unique evaluation criterion which provides quantitative analysis of accuracy against range, based on ground truth 3D annotated object  ...  This study extends prior work on dense stereo evaluation of Block Matching ( BM)[4], Semi-Global Block Matching (SGBM)[5], No Maximal Disparity (NoMD)[6], Cross[7], Adaptive Dynamic Programming (AdptDP  ...  Furthermore they use a global scene evaluation, based on correlation against a priori ground truth [1, 2] , which is inherently bias against foreground objects of interest [3] .  ... 
doi:10.1109/icip.2013.6738086 dblp:conf/icip/HamiltonBBK13 fatcat:gekexd5ljbdfbl2ce5zdjzob44

Robust Multiscale Stereo Matching from Fundus Images with Radiometric Differences

Li Tang, M. K. Garvin, Kyungmoo Lee, W. L. W. Alward, Y. H. Kwon, M. D. Abramoff
2011 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The performance is verified both qualitatively by face validity and quantitatively on our collection of stereo fundus image sets with ground truth, which have been made publicly available as an extension  ...  A robust multiscale stereo matching algorithm is proposed to find reliable correspondences between low contrast and weakly textured retinal image pairs with radiometric differences.  ...  Qingxiong Yang for letting them run his algorithm on their data set and Dr. Min Zhu for permission to use her portrait in experiments.  ... 
doi:10.1109/tpami.2011.69 pmid:21464502 pmcid:PMC3580181 fatcat:mbcuv4e4ezbolbyxljgq3ky4lm

ACCURACY IMPROVEMENT OF DEM FOR GENERATING ORTHOPHOTO BY REVERSE PROJECTION METHOD

F. Sugiyama, H. Chikatsu
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
model (DEM) based on stereo matching methods is widely used, the accuracy of which should be effectively improved by removing mismatched points created during the stereo matching process for efficient  ...  The most remarkable points of this method are its ability to detect mismatched points and improve the accuracy of a DEM using only stereo models on the previous and following strips and restricting the  ...  A quantitative evaluation was performed by comparing the airborne lidar data and the DEM extracted through stereo matching, while a qualitative evaluation was performed using a color-shaded relief map.  ... 
doi:10.5194/isprsarchives-xxxix-b4-177-2012 fatcat:h6valfe5bvghhll3y47brfcsay

Rapid and accurate face depth estimation in passive stereo systems

Amel Aissaoui, Jean Martinet, Chaabane Djeraba
2013 Multimedia tools and applications  
Besides, an original algorithm of post processing is proposed in order to detect holes and spikes in the generated depth maps caused by false matching and uncertainties.  ...  It is based on smoothness proprieties of the face and a local and global analysis of the image.  ...  Experiments, results and discussion In this section, we evaluate qualitatively and quantitatively the results of the proposed framework.  ... 
doi:10.1007/s11042-013-1556-z fatcat:hc3ovoltlbegxmu6a2ru5ex4fi

Stereo vision-based simultaneous localization and mapping with ranging aid

Young-Hee Lee, Chen Zhu, Gabriele Giorgi, Christoph Guenther
2018 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)  
The proposed algorithm is evaluated both qualitatively and quantitatively on a real stereo image dataset with synthetically generated distance measurements with superimposed Gaussian white noise.  ...  Two basic processes of feature-and keyframe-based stereo visual odometry (Tracking and Local mapping) are operated in the algorithm, while saving all local keyframes, map points, and visual constraints  ...  ACKNOWLEDGMENT The project VaMEx-CoSMiC is supported by the Federal Ministry for Economic Affairs and Energy on the basis of a decision by the German Bundestag under grant 50NA1521, administered by the  ... 
doi:10.1109/plans.2018.8373407 dblp:conf/plans/LeeZG018 fatcat:mrf72hzpsbe5rnrxt4y7umvxpu

Stereo Matching Algorithm Based on Hybrid Convolutional Neural Network and Directional Intensity Difference

Mohd Saad Hamid, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia, Nurulfajar Abd Manap, Rostam Affendi Hamzah, Ahmad Fauzan Kadmin
2021 International Journal of Emerging Technology and Advanced Engineering  
Based on the experimental results, the proposed algorithm produces good accuracy and robustness against the stereo matching challenges.  ...  Hence, this article proposes a new stereo matching algorithm based on a hybrid Convolutional Neural Network (CNN) combined with directional intensity differences at the matching cost stage.  ...  The next section will provide an overview of the proposed method's performance quantitatively and qualitatively. IV.  ... 
doi:10.46338/ijetae0621_10 fatcat:ycklyc2o2jc6rfpodujlg6cxhm

An Experimental Comparison of Stereo Algorithms [chapter]

Richard Szeliski, Ramin Zabih
2000 Lecture Notes in Computer Science  
We present results for both correlation-style stereo algorithms and techniques based on global methods such as energy minimization.  ...  In this paper we propose an experimental comparison of several different stereo algorithms. We use real imagery, and explore two different methodologies, with different strengths and weaknesses.  ...  Nakamura for supplying the ground truth imagery from the University of Tsukuba, to various colleagues for furnishing us with their algorithms and/or results, and for the helpful suggestions from the reviewers  ... 
doi:10.1007/3-540-44480-7_1 fatcat:hlqqqmpccvdh5j4grbo2movyfu

iGG-MBS: Iterative Guided-Gaussian Multi-Baseline Stereo Matching

Pathum Rathnayaka, Soon-Yong Park
2020 IEEE Access  
The first framework implements an accurate multi-baseline stereo cost (referred to as MBSC in the text) calculation method, and a scan line optimization inspired by the Semi Global Matching (SGM) algorithm  ...  INDEX TERMS Stereo vision, multi-baseline, stereo matching, iterative, refinement, disparity mapping.  ...  We performed both qualitative and quantitative experiments to evaluate the accuracy of our proposed method. For this we used 12 Middlebury datasets.  ... 
doi:10.1109/access.2020.2997073 fatcat:urfh72zrcnbenal4acnu3ndhga

A Deep Visual Correspondence Embedding Model for Stereo Matching Costs

Zhuoyuan Chen, Xun Sun, Liang Wang, Yinan Yu, Chang Huang
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
This paper presents a data-driven matching cost for stereo matching.  ...  Experimental results on KITTI and Middlebury data sets demonstrate the effectiveness of our model. First, we prove that the new measure of pixel dissimilarity outperforms traditional matching costs.  ...  Acknowledgements We would like to thank Haoyuan Gao and Fei Qing for their efforts in data collection. We would also like to thank Kai Yu and Carl Case for discussion and helpful advice.  ... 
doi:10.1109/iccv.2015.117 dblp:conf/iccv/ChenS0YH15 fatcat:zafhk3i4knhvjdu6sqvy2lhnki
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