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Construction of Fisheye Lens Inverse Perspective Mapping Model and Its Applications of Obstacle Detection

Chin-Teng Lin, Tzu-Kuei Shen, Yu-Wen Shou
2010 EURASIP Journal on Advances in Signal Processing  
In the obstacle detection, we make use of the features of vertical edges on objects from remapped images to indicate the relative positions of obstacles.  ...  The static information of remapped images in the current frame is referred to determining the features of source images in the searching stage from either the profile or temporal IPM difference image.  ...  The edge profile of road surfaces in bird-view images or temporal FLIPM difference image should be acquired, and then the segment searching algorithm will use the edge profile to get the feature radial  ... 
doi:10.1155/2010/296598 fatcat:r5mtkrrbwvbetgc2cajywm2z44

A Unified Framework for Line Extraction in Dioptric and Catadioptric Cameras [chapter]

Jesus Bermudez-Cameo, Gonzalo Lopez-Nicolas, Jose J. Guerrero
2013 Lecture Notes in Computer Science  
The proposed method also gives the adjacent regions of line-images which can be used for matching purposes. The line-images extractor has been implemented and tested with simulated and real images.  ...  In order to validate this framework we have developed a method to extract line-images with a 2-points RANSAC, which makes use of the camera calibration.  ...  This work was supported by the Spanish projects VISPA DPI2009-14664-C02-01, VINEA DPI2012-31781, DGA-FSE(T04) and FEDER  ... 
doi:10.1007/978-3-642-37447-0_48 fatcat:gp7nzhvljzcmpckpqvsjuftpny

Real-Time Semantic Segmentation for Fisheye Urban Driving Images Based on ERFNet

Álvaro Sáez, Luis Bergasa, Elena López-Guillén, Eduardo Romera, Miguel Tradacete, Carlos Gómez-Huélamo, Javier del Egido
2019 Sensors  
Our proposals are compared to similar state-of-the-art works showing an outstanding performance and tested in an unknown real world scenario using a fisheye camera integrated in an open-source autonomous  ...  strategy that improves the segmentation on the image borders.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19030503 fatcat:hstbcpmawjf7bg6fjx2v55w5qm

Precise and Robust Line Detection for Highly Distorted and Noisy Images [chapter]

Dominik Wolters, Reinhard Koch
2016 Lecture Notes in Computer Science  
The combination of the edge detection and the line detection to a single step provides a more robust and more reliable detection of larger line segments.  ...  This article presents a method to detect lines in fisheye and distorted perspective images. The detection is performed with subpixel accuracy.  ...  The EDLine detector [1] presented by Akinlar and Topal uses the Edge Drawing algorithm instead of a classical edge detector, e. g. Canny edge detector, to find edges in the image.  ... 
doi:10.1007/978-3-319-45886-1_1 fatcat:x64uddetkbcatb55ddblk3qpr4

GNSS Localization in Constraint Environment by Image Fusing Techniques

Ciprian David, Corina Nafornita, Vasile Gui, Andrei Campeanu, Guillaume Carrie, Michel Monnerat
2021 Remote Sensing  
We propose here a method for fusing existing data with new information, extracted by using roof-mounted cameras and adequate image processing algorithms.  ...  The roof-mounted camera is used to robustly segment the sky regions. The localization approach can benefit from this new information as it offers a way of excluding the Non-Line-of-Sight satellites.  ...  Using edges and curvature information of the image edges, the vegetation map is constructed as well.  ... 
doi:10.3390/rs13102021 fatcat:em3ygs44dvct5ojadvdzpiukna

Automatic Line Extraction in Uncalibrated Omnidirectional Cameras with Revolution Symmetry

J. Bermudez-Cameo, G. Lopez-Nicolas, J. J. Guerrero
2015 International Journal of Computer Vision  
The gradient information allows to reduce the number of points needed in the min-imal solution improving the result and the robustness of the estimation.  ...  The scheme is used in a line-image extraction algorithm to obtain lines from uncalibrated omnidirectional images without any assumption about the scene.  ...  Barreto from ISR Coimbra for the set of high resolution paracatadioptric images. The final publication is available at Springer via  ... 
doi:10.1007/s11263-014-0792-7 fatcat:idj6k6z5ojbqfffv356uwcrz3q

Constrained sampling for image retargeting

Tongwei Ren, Yanwen Guo, Gangshan Wu, Fuyan Zhang
2008 2008 IEEE International Conference on Multimedia and Expo  
As the core of image retargeting, information fidelity is adequately considered in terms of reservations of salient regions, edge integrity, and image layout.  ...  Thereafter, the sampling ratio of each block is determined with a balanced minimum cost flow algorithm. Final result is generated by an interpolated sampling scheme and direct scaling.  ...  This can be fulfilled by a fisheye like non-linear warping function [4] , or using image segmentation and re-composition [5] .  ... 
doi:10.1109/icme.2008.4607705 dblp:conf/icmcs/RenGWZ08 fatcat:eqmn5ocyqvdtznhgqxhzjdq3m4

Cloud-Edge Suppression for Visual Outdoor Navigation

2017 Robotics  
We propose an edge-filtering method operating on linearly-transformed RGB channels, which reliably detects edges in the ground region of the image while suppressing edges in the sky region.  ...  to the use of edge-filtering methods on alternative color information.  ...  Deutsche Forschungsgemeinschaft had no direct role in the creation of this work, nor the decision to submit it for publication.  ... 
doi:10.3390/robotics6040038 fatcat:rpd2ruvgkzad3kxlid7k6h6n4a

UAV altitude estimation by mixed stereoscopic vision

D Eynard, P Vasseur, C Demonceaux, V Frémont
2010 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Since there exists a homography between the two views and the sensor being calibrated and the attitude estimated by the fish-eye camera, the algorithm consists then in searching the altitude which verifies  ...  In this paper, we present mixed stereoscopic vision system made of a fish-eye camera and a perspective camera for altitude estimation.  ...  The region in consideration on the fisheye gets fewer distortions and better resolution than the rest of the image. Then those two images can be compared by subtraction (see fig. 3 ).  ... 
doi:10.1109/iros.2010.5652254 dblp:conf/iros/EynardVDF10 fatcat:wimnqlekqzd7jgki2jlhd3qldi

A New Method for Forest Canopy Hemispherical Photography Segmentation Based on Deep Learning

Kexin Li, Xinwang Huang, Jingzhe Zhang, Zhihu Sun, Jianping Huang, Chunxue Sun, Qiancheng Xie, Wenlong Song
2020 Forests  
Materials and Methods: Our method consists of three modules, namely, northing correction, valid region extraction, and hemispherical image segmentation.  ...  The method takes the original canopy hemisphere image first and then automatically executes the three modules in sequence, and finally outputs the binary segmentation map.  ...  Acknowledgments: The authors acknowledge the ImageJ and WinSCANOPY software packages for assisting the research. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/f11121366 fatcat:zef5u7mhgjhytbynrrchh4lf34

SKYLINE2GPS: Localization in urban canyons using omni-skylines

S Ramalingam, S Bouaziz, P Sturm, M Brand
2010 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Under day-time and clear sky conditions, we propose a sky-segmentation algorithm using graph cuts for estimating the geo-location.  ...  Under day-time and clear sky conditions, we propose a sky-segmentation algorithm using graph cuts for estimating the geo-location.  ...  Acknowledgments: Srikumar Ramalingam would like to specially thank Jay Thornton for all the motivating discussions and valuable feedback throughout the project.  ... 
doi:10.1109/iros.2010.5649105 dblp:conf/iros/RamalingamBSB10 fatcat:qksywh6tard33pqll777qqfzxq

Rapid image retargeting based on curve-edge grid representation

Tongwei Ren, Yan Liu, Gangshan Wu
2010 2010 IEEE International Conference on Image Processing  
Furthermore, the constraint of curve-edge grid representation ensures important content emphasis and image structure preservation in the target image.  ...  In this paper, we propose a novel image retargeting approach by combining uniform sampling and structure-aware curve-edge grid representation.  ...  However, only using the minimal width may lead to the excessive sampling in the less important processing units, which may cause serious context information loss and destroy image layout (Fig. 4(f) ).  ... 
doi:10.1109/icip.2010.5654031 dblp:conf/icip/RenLW10 fatcat:ocrgkpcd6jhatb6birwdzfjsnq

Image Retargeting Using Mesh Parametrization

Yanwen Guo, Feng Liu, Jian Shi, Zhi-Hua Zhou, M. Gleicher
2009 IEEE transactions on multimedia  
The effectiveness of our algorithm is demonstrated by experiments.  ...  In this paper, we present such an effective image retargeting method using saliency-based mesh parametrization.  ...  ACKNOWLEDGMENT We would like to thank the reviewers for their constructive comments which helped improving this manuscript. Tongwei Ren and Xiang Wang provided the matlab code of Seam carving.  ... 
doi:10.1109/tmm.2009.2021781 fatcat:y2ha5see6beddil6sbxnzddp5y

An Interactive LiDAR to Camera Calibration [article]

Yecheng Lyu, Lin Bai, Mahdi Elhousni, Xinming Huang
2019 arXiv   pre-print
Furthermore, the toolbox uses genetic algorithms to estimate the transforms and supports multiple camera models such as the pinhole camera model and the fisheye camera model.  ...  However, due to the limitation of the calibration equipment and susceptibility to noise, algorithms in existing methods tend to fail in finding LiDAR-camera correspondences in long-range.  ...  But most of the existing LiDAR-tocamera calibration algorithms are proposed for indoor use and are validated in meters rage [3] [12] [11] .  ... 
arXiv:1903.02122v1 fatcat:54uvwvshwffple444znzk75meu

Sky View Factor footprints for urban climate modeling

Ariane Middel, Jonas Lukasczyk, Ross Maciejewski, Matthias Demuzere, Matthias Roth
2018 Urban Climate  
The fisheyes are segmented into sky and non-sky pixels using image processing, and the SVF is calculated using an annulus method.  ...  Results are compared to SVFs retrieved from GSV images segmented using deep learning. SVF footprints are presented for urban areas around the world tallying 15,938,172 GSV locations.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsoring organizations.  ... 
doi:10.1016/j.uclim.2018.05.004 fatcat:dcxzrdhphfczvnvnin7kgbwaqm
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