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Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles [article]

Wei-Chen Chiu, Fabio Galasso, Mario Fritz
2016 arXiv   pre-print
Second, we evaluate several state of the art segmentation methods and propose a novel ensemble method based on recent spectral theory.  ...  First, we propose therefore a new benchmark: videos, annotations and metrics to measure progress on this emerging challenge.  ...  from the pool based on C features, cf. 5.1).  ... 
arXiv:1609.00836v2 fatcat:vudgn3o3abaofpeuhumnw2my3a

IMPROVED TOPOGRAPHIC MODELS VIA CONCURRENT AIRBORNE LIDAR AND DENSE IMAGE MATCHING

G. Mandlburger, K. Wenzel, A. Spitzer, N. Haala, P. Glira, N. Pfeifer
2017 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
We demonstrate that (i) systematic effects in the resulting scanned and matched 3D point clouds can be minimized based on a hybrid orientation procedure, (ii) systematic differences of the individual point  ...  In addition, we present potential synergies of jointly processing image and laser data with emphasis on sensor orientation and point cloud fusion for digital surface model derivation.  ...  DIM workflow For the Dense Image Matching the SURE workflow Wenzel et al., 2013) was utilized, which is based on a dense stereo matching algorithm in a multi-view stereo environment ( Figure 5 ).  ... 
doi:10.5194/isprs-annals-iv-2-w4-259-2017 fatcat:jce33q4o6jav3p345aut4wy2py

Subject index

1999 IEEE Transactions on Medical Imaging  
Xiaohui Wang, + , T-MI Sep 99 815-824 Randomized algorithms; cf. Genetic algorithms Rare earth compounds; cf.  ...  Talukdar, A.S., + , T-MI Jul 99 604-616 Optimization; cf. Genetic algorithms; Minimization; Simulated annealing Orthopedics peritalar joint complex, geometric archit. charactn. via MRI.  ...  -based eval. of image-proc. and class. methods. Kwan, R.K.-S., + , T-MI Nov. 1999  ... 
doi:10.1109/tmi.1999.819331 fatcat:g7ntb6icpzgs7jwncaguherqne

Automatic acquisition and initialization of articulated models

N. Krahnstoever, M. Yeasin, R. Sharma
2003 Machine Vision and Applications  
By incorporating powerful domain knowledge, model based approaches are able to overcome these problem to a great extent and are actively explored by many researchers.  ...  on an expectation-maximization (EM) [22] .  ...  The EM approach maximizes the overall likelihood of layer assignments and motion parameters and leads to very good results if the algorithm starts with reasonable initial values (cf. Sect. 3.2).  ... 
doi:10.1007/s00138-002-0081-2 fatcat:fkwignl2jzgcdi2lg3rlhbprmm

Tracking with Stereo-vision System for Low Speed Following Applications

J. Morat, F. Devernay, S. Cornou
2007 IEEE Intelligent Vehicles Symposium  
This tracking method extends the classical patch-based Lucas-Kanade algorithm [9], [1] by integrating the geometric constraints of the stereo system into the motion model: the epipolar constraint, which  ...  We report experimental results on simulated and real data showing the improvement in accuracy and robustness of our algorithm compared to the classical Lucas-Kanade tracker.  ...  The Lucas-Kanade algorithm is an iterative method based on the Gauss-Newton algorithm.  ... 
doi:10.1109/ivs.2007.4290240 fatcat:4kyymebavjhfrix25t7qxi57i4

Probabilistic data association for semantic SLAM

Sean L. Bowman, Nikolay Atanasov, Kostas Daniilidis, George J. Pappas
2017 2017 IEEE International Conference on Robotics and Automation (ICRA)  
The performance of our algorithm is demonstrated on indoor and outdoor datasets.  ...  Furthermore, loop closure recognition based on low-level features is often viewpoint-dependent and subject to failure in ambiguous or repetitive environments.  ...  this experiment, bag-of-words based loop closure detections are subject to false positives and incorrect matches.  ... 
doi:10.1109/icra.2017.7989203 dblp:conf/icra/BowmanADP17 fatcat:rnfxerl3mvd6hmsygykhl4dage

A Survey of Structure from Motion [article]

Onur Ozyesil, Vladislav Voroninski, Ronen Basri, Amit Singer
2017 arXiv   pre-print
This survey mainly focuses on relatively recent developments in the literature pertaining to stages (2) and (3).  ...  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

Matching Algorithms: Fundamentals, Applications and Challenges [article]

Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong
2021 arXiv   pre-print
Based on the preference list access, matching problems are divided into two categories, i.e., explicit matching and implicit matching.  ...  In this paper, we first introduce the matching theory's basic models and algorithms in explicit matching.  ...  [85] proposed an image matching algorithm based on mutual information. The algorithm calculates the joint entropy of the matching image and the image to be matched.  ... 
arXiv:2103.03770v2 fatcat:qmccuncq6jg4jko33zl4vazp3a

Bilayer Segmentation of Webcam Videos Using Tree-Based Classifiers

Pei Yin, A Criminisi, J Winn, I A Essa
2011 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Third, we introduce a general taxonomy of tree-based classifiers that facilitates both theoretical and experimental comparisons of several known classification algorithms and generates new ones.  ...  to those obtained by stereo systems.  ...  Recent work in this area has produced compelling, real-time algorithms, based on either stereo [13] or motion [8] .  ... 
doi:10.1109/tpami.2010.65 pmid:21088317 fatcat:vlssta6w7rgb7lx7bbricowoiy

Subject index

1999 IEEE Transactions on Image Processing  
Tieh-Yuh Chen, + , T-IP Jun 99 785-797 Distributed algorithms; cf. Parallel algorithms Distributed processing; cf.  ...  Maximum likelihood estimation; Recursive estimation Evolutionary computation; cf. Genetic algorithms F Face recognition authentication with Gabor inform. on deformable graphs.  ... 
doi:10.1109/tip.1999.806633 fatcat:wl55kzilqzd33dlz6kmq3cljdy

Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking

Fanta Camara, Nicola Bellotto, Serhan Cosar, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, Andre Dietrich, Charles Fox
2020 IEEE transactions on intelligent transportation systems (Print)  
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles navigating through crowds on  ...  The Bipartite assignment algorithm or optimal Hungarian algorithm is used to find matching nodes in the two sets. A review on graph matching is presented in [53] . Chen et al.  ...  Their estimation is done using a Maximum-A-Posteriori (MAP) approach with the Expectation Maximisation (EM) algorithm. Layering-based trackers can handle multiple moving objects and occlusion.  ... 
doi:10.1109/tits.2020.3006768 fatcat:awa5dgk4rbazteetyyqrndbgxq

Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking [article]

Fanta Camara, Nicola Bellotto, Serhan Cosar, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Charles W. Fox
2020 arXiv   pre-print
Autonomous vehicles (AVs) must share space with human pedestrians, both in on-road cases such as cars at pedestrian crossings and off-road cases such as delivery vehicles navigating through crowds on high-streets  ...  Bipartite assignment algorithm or optimal Hungarian algorithm is used to find matching nodes in the two sets. A review on graph matching methods is presented in [53] . Chen et al.  ...  Their estimation is done using a Maximum-A-Posteriori (MAP) approach with the EM algorithm. Layering-based trackers can handle multiple moving objects and occlusion.  ... 
arXiv:2002.11669v1 fatcat:fgg5j5jdwrbujjgtj2uhgrx2am

Daytime Arctic Cloud Detection Based on Multi-Angle Satellite Data With Case Studies

Tao Shi, Bin Yu, Eugene E Clothiaux, Amy J Braverman
2008 Journal of the American Statistical Association  
The first algorithm based on these three features, Enhanced Linear Correlation Matching (ELCM), thresholds the three features with two fixed cut-off values for the correlation and standard deviation features  ...  Based on five million test pixels ELCM results are significantly better both in terms of accuracy (92%) and coverage (100%) when compared with two MISR operational algorithms, 2 one with an accuracy of  ...  We propose an Enhanced Linear Correlation Matching (ELCM) algorithm based on thresholding the three feature with values either fixed or learned from the current or previous data unit.  ... 
doi:10.1198/016214507000001283 fatcat:vjeqioqrsfepjmvkwepsly4wr4

Kinematic Properties of Globally-Propagating Waves in the Solar Corona [article]

David M. Long
2012 arXiv   pre-print
of image cadence on the derived kinematics.  ...  A CBF pulse observed by both STEREO and SDO was also studied using the algorithm, with lower initial velocity and weaker deceleration noted in STEREO observations compared to SDO, reaffirming the effects  ...  This effect can be seen in the previous work done on this topic, where theories have been proposed based on single events.  ... 
arXiv:1202.4360v1 fatcat:3at7wsgu2namhkhz563mi3oaga

Quality Assessment of DIBR-synthesized views: An Overview [article]

Shishun Tian, Lu Zhang, Wenbin Zou, Xia Li, Ting Su, Luce Morin, Olivier Deforges
2021 arXiv   pre-print
The Depth-Image-Based-Rendering (DIBR) is one of the main fundamental technique to generate new views in 3D video applications, such as Multi-View Videos (MVV), Free-Viewpoint Videos (FVV) and Virtual  ...  In this paper, we provide a comprehensive survey on various current approaches for DIBR-synthesized views.  ...  Stereo.  ... 
arXiv:1911.07036v2 fatcat:xuqua7okmzhynelr46of24ju2q
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