Zobrazeno 1 - 10
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pro vyhledávání: '"Cuneyt Akinlar"'
Publikováno v:
Expert Systems with Applications. 188:116004
Semantic segmentation of images by Fully Convolutional Neural Networks (FCN) has gained increased attention in recent years as FCNs greatly outperform traditional segmentation algorithms. In this paper we propose using Ellipse Fit Error as a shape pr
Publikováno v:
Pattern Analysis and Applications. 21:221-231
WOS: 000425293800016
We present a high-speed method for triangular object detection. The proposed method utilizes the recently developed, real-time edge segment detection algorithm, Edge Drawing; hence, the name EDTriangles, which consists of a
We present a high-speed method for triangular object detection. The proposed method utilizes the recently developed, real-time edge segment detection algorithm, Edge Drawing; hence, the name EDTriangles, which consists of a
Autor:
Cuneyt Akinlar, Cihan Topal
Publikováno v:
Journal of Visual Communication and Image Representation. 44:82-94
WOS: 000395355600008
We extend our recent edge and segment detector, Edge Drawing (GrayED), to detect edge segments in color images. Edge Drawing for color images, named ColorED, takes in a color image, and outputs a set of edge segments, each a
We extend our recent edge and segment detector, Edge Drawing (GrayED), to detect edge segments in color images. Edge Drawing for color images, named ColorED, takes in a color image, and outputs a set of edge segments, each a
Autor:
Cuneyt Akinlar
Publikováno v:
Image and Vision Computing. 54:60-70
WOS: 000387520500006
We propose a high-speed contour detector for color images that produces its contours as set of edge segments, each a chain of pixels. The proposed algorithm performs a multi-scale analysis of the input image by combining the
We propose a high-speed contour detector for color images that produces its contours as set of edge segments, each a chain of pixels. The proposed algorithm performs a multi-scale analysis of the input image by combining the
Autor:
Cuneyt Akinlar, Edward Chome
Publikováno v:
Journal of Visual Communication and Image Representation. 36:159-171
WOS: 000371280200014
We propose an edge linking algorithm that takes as input a binary edge map generated by a traditional edge detection algorithm and converts it to a set of edge segments; filling in one pixel gaps in the edge map, cleaning up
We propose an edge linking algorithm that takes as input a binary edge map generated by a traditional edge detection algorithm and converts it to a set of edge segments; filling in one pixel gaps in the edge map, cleaning up
Publikováno v:
Expert Systems with Applications. 48:67-75
WOS: 000369190300007
Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and r
Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and r
Publikováno v:
Recent Developments and the New Direction in Soft-Computing Foundations and Applications ISBN: 9783319754079
WCSC
WCSC
Edge detection algorithms have traditionally utilized the Gaussian Linear Filter (GLF) for image smoothing. Although GLF has very good properties in removing noise and unwanted artifacts from an image, it is also known to remove many valid edges. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9542ce3470e782d04646d5d970c2e32
https://hdl.handle.net/11421/20024
https://hdl.handle.net/11421/20024
Fiducial markers provide better-defined features than the ones naturally available in the scene. For this reason, they are widely utilized in computer vision applications where reliable pose estimation is required. Factors such as imaging noise and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64f80928b163bfce1ec1c006183d3146
http://arxiv.org/abs/1707.06292
http://arxiv.org/abs/1707.06292
Jitter is an inevitable by-product of gaze detection. Because of this, gaze typing tends to be a slow and frustrating process. In this paper, we propose SliceType, a soft keyboard that is optimized for gaze input. Our main design objective is to use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c06c9731ab458af1ab919966c4eaa51
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464749
ECCV (2)
ECCV (2)
14th European Conference on Computer Vision (ECCV) -- OCT 08-16, 2016 -- -- Amsterdam, NETHERLANDS
WOS: 000389383900031
In this study, we propose an ellipse detection method which gives prospering results on occlusive cases. The method star
WOS: 000389383900031
In this study, we propose an ellipse detection method which gives prospering results on occlusive cases. The method star
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2723f7b62073829b6869ef483de8681
https://doi.org/10.1007/978-3-319-46475-6_31
https://doi.org/10.1007/978-3-319-46475-6_31