19,958 Hits in 7.9 sec

Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS [article]

Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu
2021 arXiv   pre-print
More specifically, we propose to retain the 3D pose for each person and update them iteratively via the cross-view multi-human tracking.  ...  In this paper, we present a novel solution for multi-human 3D pose estimation from multiple calibrated camera views.  ...  The first baseline is matching joints in pairs of views in the 2D camera coordinates via epipolar constraint.  ... 
arXiv:2003.03972v3 fatcat:tdrjuf7smvdlpflyais2bvpy2e

Sorting unorganized photo sets for urban reconstruction

Guowei Wan, Noah Snavely, Daniel Cohen-Or, Qian Zheng, Baoquan Chen, Sikun Li
2012 Graphical Models  
This information is useful in itself as an approximate scene model, but also represents a good initialization for structure from motion and multi-view stereo techniques from which refined models can be  ...  A key contribution of our technique is to perform this reasoning based on a number of typical constraints of buildings.  ...  connectivity graph; this approximate model forms a good initialization to SfM and subsequent multi-view stereo methods.  ... 
doi:10.1016/j.gmod.2011.11.001 fatcat:f45igcigf5gh3dzylft66s2hva

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection SUN Database: Large Scale Scene Recognition from Abbey to Zoo Torresani, Lorenzo Simultaneous Point Matching and  ...  Liao, Shu A Novel Markov Random Field Based Deformable Model for Face Recognition Liebelt, Joerg Multi-View Object Class Detection with a 3D Geometric Model Lim, Jongwoo Egomotion using Assorted  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

System for automated site model acquisition

Robert Collins, Chris Jaynes, Frank Stolle, Xiaoguang Wang, Yong-Qing Cheng, Allen R. Hanson, Edward M. Riseman, David M. McKeown, Jr., Ian J. Dowman
1995 Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II  
The system hypothesizes potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via  ...  multi-image triangulation.  ...  and Laurie Waskiewicz.  ... 
doi:10.1117/12.213124 fatcat:l3px7mqvejepnmqwc3naercnfy

GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization [article]

Ioannis Papakis, Abhijit Sarkar, Anuj Karpatne
2021 arXiv   pre-print
This paper proposes a novel method for online Multi-Object Tracking (MOT) using Graph Convolutional Neural Network (GCNN) based feature extraction and end-to-end feature matching for object association  ...  The Graph based approach incorporates both appearance and geometry of objects at past frames as well as the current frame into the task of feature learning.  ...  The goal of MOT then is to learn a model to recover the adjacency matrix S of the graph given the image appearance features and geometric features of the nodes as well as MOT matching constraints.  ... 
arXiv:2010.00067v4 fatcat:n3dq7ogxtvcdjf4zqjgvyioequ

Detecting Matching Blunders of Multi-Source Remote Sensing Images via Graph Theory

Cailong Deng, Xiuxiao Yuan, Lixia Deng, Jun Chen
2020 Sensors  
Large radiometric and geometric distortion in multi-source images leads to fewer matching points with high matching blunder ratios, and global geometric relationship models between multi-sensor images  ...  The proposed methods can build statistically significant clusters in the case of few matching points with high matching blunder ratios, and use local geometric similarity constraints to detect matching  ...  and use local geometric similarity constraints to detect matching blunders when the global geometric relationship is not explicit.  ... 
doi:10.3390/s20133712 pmid:32630824 pmcid:PMC7374350 fatcat:tgmtc4jxhfgrtekpzr6dvdx6yq

Automatic Extraction of Buildings and Terrain from Aerial Images [chapter]

Robert T. Collins, Allen R. Hanson, Edward M. Riseman, Howard Schultz
1995 Automatic Extraction of Man-Made Objects from Aerial and Space Images  
The system hypothesizes potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via  ...  multi-image triangulation.  ...  We would also like to acknowledge the software and technical support of Robert Heller and Jonathan Lim, the video wizardry of Fred Weiss, and the administrative support of Janet Turnbull and Laurie Waskiewicz  ... 
doi:10.1007/978-3-0348-9242-1_16 fatcat:nwcuxry3drctvj5izwkzpk2n34

Sensor fusion for flexible human-portable building-scale mapping

Maurice F. Fallon, Hordur Johannsson, Jonathan Brookshire, Seth Teller, John J. Leonard
2012 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Our system achieves robust performance in these situations by exploiting state-of-the-art techniques for robust pose graph optimization and loop closure detection.  ...  This paper describes a system enabling rapid multi-floor indoor map building using a body-worn sensor system fusing information from RGB-D cameras, LIDAR, inertial, and barometric sensors.  ...  Opinions, interpretations, conclusions and recommendations are those of the authors and are not necessarily endorsed by the United States Government.  ... 
doi:10.1109/iros.2012.6385882 dblp:conf/iros/FallonJBTL12 fatcat:qu6iy7whxrbxhmmao3ijn2ot5y

Multi-view Object Categorization and Pose Estimation [chapter]

Silvio Savarese, Li Fei-Fei
2010 Studies in Computational Intelligence  
In [54, 55] multi-view object models are obtained by linking together diagnostic parts of the objects from different viewing point.  ...  A single object may show tremendous variability in appearance and structure under various photometric and geometric conditions.  ...  A global geometrical constraint is obtained by imposing that feature match candidates (belonging to different views) are related by the fundamental matrix F .  ... 
doi:10.1007/978-3-642-12848-6_8 fatcat:efy7m4rzunbm5gnqwuqft2auha

Robust Pose Invariant Facial Feature Detection and Tracking in Real-Time

Zhiwei Zhu, Qiang Ji
2006 18th International Conference on Pattern Recognition (ICPR'06)  
In this paper, a robust technique is proposed to detect and track a set of twenty-eight prominent facial features under various facial expressions and face orientations in real-time.  ...  Finally, the performance of the proposed technique is demonstrated through building a real-time facial feature tracking system that can detect and track a set of twenty-eight facial features automatically  ...  Next, given the predicted feature positions, the multi-scale and multi-orientation Gabor wavelet matching method [9] , [1] , [2] is used to detect each facial feature in the vicinity of the predicted  ... 
doi:10.1109/icpr.2006.1013 dblp:conf/icpr/ZhuJ06 fatcat:pp7soqfzjrg6zpskxpuv4ngadu

The representation and matching of categorical shape

Ali Shokoufandeh, Lars Bretzner, Diego Macrini, M. Fatih Demirci, Clas Jönsson, Sven Dickinson
2006 Computer Vision and Image Understanding  
In computing correspondence, the similarity of two nodes is a function of their topological (graph) contexts, their geometric (relational) contexts, and their node contents.  ...  These parts, in turn, map to nodes in a directed acyclic graph, in which edges encode both semantic relations (parent/child) as well as geometric relations.  ...  Acknowledgments The authors gratefully acknowledge the support of the ONR, NSERC, NSF, CITO, NSERC-IRIS, CITO, and MD Robotics.  ... 
doi:10.1016/j.cviu.2006.05.001 fatcat:kj67tvnwurh3nfcnlcgjlftkjq

3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints

Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
2006 International Journal of Computer Vision  
Geometric constraints associated with different views of the same surface patches are combined with a normalized representation of their appearance to guide matching and reconstruction, allowing the acquisition  ...  The proposed approach does not require a separate segmentation stage, and it is applicable to highly cluttered scenes. Modeling and recognition results are presented.  ...  We have used multi-view geometric constraints to represent the larger 3D surface structure, retain groups of consistent matches, and reject incorrect ones.  ... 
doi:10.1007/s11263-005-3674-1 fatcat:sicbzlazgfa4failaq7buxqemi

Deformable Spatial Pyramid Matching for Fast Dense Correspondences

Jaechul Kim, Ce Liu, Fei Sha, Kristen Grauman
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
Dense matching methods typically enforce both appearance agreement between matched pixels as well as geometric smoothness between neighboring pixels.  ...  Results on LabelMe and Caltech show our approach outperforms state-of-the-art methods (SIFT Flow [15] and Patch-Match [2]), both in terms of accuracy and run time.  ...  Best viewed in color. Figure 4 shows example matches by the different methods. We see that DSP works robustly under image variations like appearance change and background clutter.  ... 
doi:10.1109/cvpr.2013.299 dblp:conf/cvpr/KimLSG13 fatcat:l2b7commfndszkb7azqcggrpry

X-View: Graph-Based Semantic Multi-View Localization [article]

Abel Gawel, Carlo Del Don, Roland Siegwart, Juan Nieto, Cesar Cadena
2018 arXiv   pre-print
X-View leverages semantic graph descriptor matching for global localization, enabling localization under drastically different view-points.  ...  Here, we present X-View, a Multi-View Semantic Global Localization system.  ...  CONCLUSIONS In this paper we presented X-View, a multi-view global localization algorithm leveraging semantic graph descriptor matching.  ... 
arXiv:1709.09905v3 fatcat:jqt6jso2gzblfpkf4j2puhk75u

Updating Point Cloud Layer of High Definition (HD) Map based on Crowd-sourcing of Multiple Vehicles Installed LiDAR

Chansoo Kim, Sungjin Cho, Myoungho Sunwoo, Paulo Resende, Benazouz Bradai, Kichun Jo
2021 IEEE Access  
The map changes are detected by the probabilistic and evidential theory considering the LiDAR characteristics, such as beam divergence and multi-echo.  ...  The detected map changes are uploaded to the map cloud server and merged into the PCM.  ...  To form the geometric constraints (rotation and translation), a NDT matching technique is used.  ... 
doi:10.1109/access.2021.3049482 fatcat:6u6odtq33jf73e73siegzmzvki
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