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Construction of Fisheye Lens Inverse Perspective Mapping Model and Its Applications of Obstacle Detection
2010
EURASIP Journal on Advances in Signal Processing
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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]
2013
Lecture Notes in Computer Science
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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
2019
Sensors
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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]
2016
Lecture Notes in Computer Science
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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
2021
Remote Sensing
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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
2015
International Journal of Computer Vision
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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 http://dx.doi.org/10.1007/s11263-014-0792-7. ...
doi:10.1007/s11263-014-0792-7
fatcat:idj6k6z5ojbqfffv356uwcrz3q
Constrained sampling for image retargeting
2008
2008 IEEE International Conference on Multimedia and Expo
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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
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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
2010
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
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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
2020
Forests
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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
2010
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
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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
2010
2010 IEEE International Conference on Image Processing
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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
2009
IEEE transactions on multimedia
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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]
2019
arXiv
pre-print
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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
2018
Urban Climate
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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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