Results 261 to 270 of about 963,417 (295)

Analytic outlier removal in line fitting

Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), 2002
The conventional ordinary least squares (OLS) method of fitting a line to a set of data points is very unreliable when the amount of random noise in the input (such as an image) is significant compared with the amount of data that is correlated with the lane itself. In this paper we present an analytic method of separating the data of interest from the
Nathan S. Netanyahu, Isaac Weiss
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Pre-processing of Retinal Images for Removal of Outliers

Wireless Personal Communications, 2020
Early diagnosis of diseases related with retina such as glaucoma is of utmost importance in current scenario as it is the second most prevailing cause of irreversible blindness over the world and is expected to increase further in near future. It is commonly diagnosed using retinal images which are acquired by digital fundus cameras.
Niharika Thakur, Mamta Juneja
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Learning Discriminative Reconstructions for Unsupervised Outlier Removal

2015 IEEE International Conference on Computer Vision (ICCV), 2015
We study the problem of automatically removing outliers from noisy data, with application for removing outlier images from an image collection. We address this problem by utilizing the reconstruction errors of an autoencoder. We observe that when data are reconstructed from low-dimensional representations, the inliers and the outliers can be well ...
Yan Xia, Xudong Cao, Fang Wen 0001, Gang Hua 0001, Jian Sun 0001   +4 more
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Removing Outliers Using The L\infty Norm

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006
Recently, there has been interest in solving geometric vision problems such as triangulation and camera resectioning using L\infty minimization. One key advantage of using the L\infty norm rather than the L2 norm is that the L\infty cost function has a single minimum unlike the commonly used L2 cost function which typically has multiple local minima ...
Kristy Sim, Richard I. Hartley
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A Multi-Objective Genetic Algorithm for Outlier Removal

Journal of Chemical Information and Modeling, 2015
Quantitative structure activity relationship (QSAR) or quantitative structure property relationship (QSPR) models are developed to correlate activities for sets of compounds with their structure-derived descriptors by means of mathematical models. The presence of outliers, namely, compounds that differ in some respect from the rest of the data set ...
Oren E. Nahum, Abraham Yosipof, Hanoch Senderowitz   +2 more
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Outliers Removal and Consolidation of DYNAMIC Point Cloud

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
Recently, there has been increasing interest in the processing of dynamic scenes as captured by 3D scanners, ideally suited for challenging applications such as immersive tele-presence systems and gaming. Despite the fact that the resolution and accuracy of the modern 3D scanners are constantly improving, the captured 3D point clouds are usually noisy ...
Gerasimos Arvanitis, Aristotelis Spathis-Papadiotis, Aris S. Lalos, Konstantinos Moustakas, Nikos Fakotakis   +4 more
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SIGnificant Outlier Removal

Point clouds, usually obtained through scanning or various image processing, are commonly affected by noise and outliers. Such artifacts compromise data quality as they significantly distort subsequent processes, such as normal estimation and surface reconstruction.
Marin, Diana, Ilic, Filip, Ohrhallinger, Stefan, Wimmer, Michael   +3 more
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A Variational Approach to Remove Outliers and Impulse Noise

Journal of Mathematical Imaging and Vision, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Grouped outlier removal for robust ellipse fitting

2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015
This paper presents a novel outlier removal method which is capable of fitting ellipse in real-time under high outlier rate, based on the phenomenon that outliers generated by ellipse edge point detector are likely to appear as groups due to real-world nuisances, such as under partial occlusion or illumination change.
Mang Shao, Yoshihisa Ijiri, Kosuke Hattori   +2 more
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Outlier Removal in Stereo Reconstruction of Orbital Images

2010
NASA has recently been building 3-dimensional models of the moon based on photos taken from orbiting satellites and the Apollo missions. One issue with the stereo reconstruction is the handling of "outliers", or areas with rapid and unexpected change in the data.
Marvin Smith, Ara Nefian
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