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Condition-Invariant Multi-View Place Recognition [article]

Jose M. Facil, Daniel Olid, Luis Montesano, Javier Civera
2019 arXiv   pre-print
Visual place recognition is particularly challenging when places suffer changes in its appearance. Such changes are indeed common, e.g., due to weather, night/day or seasons.  ...  We show that our approaches produce more compact and best performing descriptors than single- and multi-view baselines in the literature in two public databases.  ...  Multi-View Place Recognition Although there are only a few works that attempt to consider temporal and multi-view information for place recognition, they all have shown that sequences provide extra information  ... 
arXiv:1902.09516v1 fatcat:bmhzjy4hkbhnnb7ujbayrml37y

A Multi-Domain Feature Learning Method for Visual Place Recognition [article]

Peng Yin, Lingyun Xu, Xueqian Li, Chen Yin, Yingli Li, Rangaprasad Arun Srivatsan, Lu Li, Jianmin Ji, Yuqing He
2019 arXiv   pre-print
To this end, we propose an end-to-end conditional visual place recognition method.  ...  Most VPR methods try to improve the place recognition performance by ignoring the environmental factors, leading to decreased accuracy decreases when environmental conditions change significantly, such  ...  and condition-invariant features in an information-theoretic view.  ... 
arXiv:1902.10058v1 fatcat:vietguetafartpf7ilmxlrnpwa

Color and illumination invariant dice recognition

Gee-Sern Hsu, Hsiao-Chia Peng, Shang-Min Yeh
2012 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
Module-2 exploits the local invariant features good for building homographies across multiple views and lighting conditions.  ...  to recognize dice of various colors posed in a wide range of viewing angle and under uncontrolled conditions.  ...  Eight local invariant feature detectors are evaluated in the performance in rendering reliable homographies across multi-views and various illumination conditions.  ... 
doi:10.1109/icsmc.2012.6377835 dblp:conf/smc/HsuPY12 fatcat:7cqyl6tmerhgxkp4vlysime6ci

Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition

Michael Milford, Stephanie Lowry, Niko Sunderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian Reid
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Results demonstrate that the use of synthetic viewpoints improves the maximum recall achieved at 100% precision by a factor of 2.2 and maximum recall by a factor of 2.7, enabling correct place recognition  ...  We evaluate the system on a new multi-lane day-night car dataset specifically gathered to simultaneously test both appearance and viewpoint change.  ...  Condition-invariant place recognition A visual place recognition system should ideally be both viewpoint-invariant and condition-invariant.  ... 
doi:10.1109/cvprw.2015.7301395 dblp:conf/cvpr/MilfordLSSPUSLL15 fatcat:jf4u3qwsxjfgvgqd75yoagvtvi

Movement recognition exploiting multi-view information

Alexandros Iosifidis, Nikos Nikolaidis, Ioannis Pitas
2010 2010 IEEE International Workshop on Multimedia Signal Processing  
In this paper a novel view-invariant movement recognition method is presented. A multi-camera setup is used to capture the movement from different observation angles.  ...  Binary body masks from frames of all cameras, consistently arranged through the previous procedure, are concatenated to produce the so-called multi-view binary mask.  ...  View invariant movement representation and recognition can be also achieved through the usage of a multi-camera set-up.  ... 
doi:10.1109/mmsp.2010.5662059 dblp:conf/mmsp/IosifidisNP10 fatcat:nbvujiqeqndttcmvonomylbxoe

Virtual View Appearance Representation For Human Motion Analysis In Multi-View Environments

Adolfo López-Méndez
2010 Zenodo  
Then, we derive the view-invariancy conditions that a the virtual camera must hold.  ...  Deriving the view-invariancy conditions for such a problem requires the choice of a model.  ... 
doi:10.5281/zenodo.42151 fatcat:5daypim44zdmhl3hrdr35c5m6m

An adaptive system for gait recognition in multi-view environments

Yu Guan, Chang-Tsun Li, Yongjian Hu
2012 Proceedings of the on Multimedia and security - MM&Sec '12  
We evaluate our approach on the largest multi-view gait database CASIA-B dataset.  ...  The avoidance of searching whole multi-view database as well as the competitive performance indicate that our proposed method is practical for gait recognition in real world surveillance scenarios.  ...  [13] bring this idea to gait recognition by estimating the unknown probe view in the first place.  ... 
doi:10.1145/2361407.2361431 dblp:conf/mmsec/GuanLH12 fatcat:nmicszsvcnaylmhgv4q4tuq43i

Human action recognition using multiple views

Michael B. Holte, Cuong Tran, Mohan M. Trivedi, Thomas B. Moeslund
2011 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding - J-HGBU '11  
Additionally, we discuss some of the shortcomings of multi-view camera setups and outline our thoughts on future directions of 3D human action recognition.  ...  This paper presents a review and comparative study of recent multi-view 2D and 3D approaches for human action recognition. The approaches are reviewed and categorized due to their nature.  ...  [7] show how view-invariant recognition can be performed by using data fusion of two orthogonal views.  ... 
doi:10.1145/2072572.2072588 dblp:conf/mm/Holte0TM11 fatcat:d6xmw4zwqjcapbatbg2256oyca

LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics [article]

Sourav Garg, Niko Suenderhauf, Michael Milford
2018 arXiv   pre-print
The difficulty of this problem exceeds any addressed in past appearance- and viewpoint-invariant visual place recognition (VPR) research, in part because large parts of the scene are not commonly observable  ...  In this paper we develop a suite of novel semantic- and appearance-based techniques to enable for the first time high performance place recognition in this challenging scenario.  ...  One such problem pertains to visual place recognition under viewpoint variations as extreme as front-and rear-view image matching.  ... 
arXiv:1804.05526v3 fatcat:sdwq2uektbezzib6recsc2ofvu

Robust Arbitrary-View Gait Recognition Based on 3D Partial Similarity Matching

Jin Tang, Jian Luo, Tardi Tjahjadi, Fan Guo
2017 IEEE Transactions on Image Processing  
Existing view-invariant gait recognition methods encounter difficulties due to limited number of available gait views and varying conditions during training.  ...  A synthetic database with destination views and multi-linear subspace classifier fused with majority voting are used to achieve arbitrary view gait recognition that is robust to varying conditions.  ...  Multi-view PGEIs are synthesized to form a synthetic database for view-invariant gait recognition.  ... 
doi:10.1109/tip.2016.2612823 pmid:28113179 fatcat:yz3wordmtradnis7ieqleksxs4

LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics

Sourav Garg, Niko Suenderhauf, Michael Milford
2018 Robotics: Science and Systems XIV  
The difficulty of this problem exceeds any addressed in past appearance-and viewpoint-invariant visual place recognition (VPR) research, in part because large parts of the scene are not commonly observable  ...  In this paper we develop a suite of novel semantic-and appearance-based techniques to enable for the first time high performance place recognition in this challenging scenario.  ...  One such problem pertains to visual place recognition under viewpoint variations as extreme as front-and rear-view image matching.  ... 
doi:10.15607/rss.2018.xiv.022 dblp:conf/rss/GargSM18 fatcat:o3pc5kn3ijdhxhu4rrkvcu5n7e

View-Invariant Action Recognition Based on Artificial Neural Networks

A. Iosifidis, A. Tefas, I. Pitas
2012 IEEE Transactions on Neural Networks and Learning Systems  
In this paper, a novel view invariant action recognition method based on neural network representation and recognition is proposed.  ...  The use of information captured from different viewing angles leads to high classification performance.  ...  Trying to solve the generic action recognition problem, a novel view-invariant action recognition method based on ANNs is proposed in this paper.  ... 
doi:10.1109/tnnls.2011.2181865 pmid:24808548 fatcat:7n7tjulusfexnbormglusrhaxe

View-Invariant Gait Recognition Through Genetic Template Segmentation

Ebenezer R. H. P. Isaac, Susan Elias, Srinivasan Rajagopalan, K. S. Easwarakumar
2017 IEEE Signal Processing Letters  
Experimental results depict that our approach significantly outperforms the existing implementations of view-invariant gait recognition.  ...  Recent work discusses how isolating the head and leg portion of the template increase the performance of a gait recognition system making it robust against covariates like clothing and carrying conditions  ...  The accuracy of the view estimator plays a vital role in view-invariant recognition.  ... 
doi:10.1109/lsp.2017.2715179 fatcat:ordhobnudbae7m76ztoicu33d4

Path-based constraints for accurate scene reconstruction from aerial video

Mauricio Hess-Flores, Mark A. Duchaineau, Kenneth I. Joy
2012 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  
This paper discusses the constraints imposed by the path of a moving camera in multi-view sequential scene reconstruction scenarios such as in aerial video, which allow for an efficient detection and correction  ...  The main insight is that for short, planar segments of a continuous camera trajectory, parallax movement corresponding to a viewed scene point should ideally form a scaled and translated version of this  ...  • Multi-view tensor based on the proposed constraints.  ... 
doi:10.1109/aipr.2012.6528221 dblp:conf/aipr/Hess-FloresDJ12 fatcat:f5er7o53ijbndb7disaed7t3k4

The OU-ISIR Gait Database Comprising the Treadmill Dataset

Yasushi Makihara, Hidetoshi Mannami, Akira Tsuji, Md. Altab Hossain, Kazushige Sugiura, Atsushi Mori, Yasushi Yagi
2012 IPSJ Transactions on Computer Vision and Applications  
The dataset focuses on variations in walking conditions and includes 200 subjects with 25 views, 34 subjects with 9 speed variations from 2 km/h to 10 km/h with a 1 km/h interval, and 68 subjects with  ...  The range of variations in these three factors is significantly larger than that of previous gait databases, and therefore, the Treadmill Dataset can be used in research on invariant gait recognition.  ...  Naturally, this database enables us to evaluate the performance of multi-view gait recognition [34] and view-invariant gait recognition [17] .  ... 
doi:10.2197/ipsjtcva.4.53 fatcat:cuxknwru2bgz3fri3wgpsltuji
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