A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Robust Statistics for Feature-based Active Appearance Models
2018
Proceedings of the 15th International Joint Conference on e-Business and Telecommunications
Preserved Fulltext
Robust Statistics for Feature-based Active Appearance Models. ...
Active Appearance Models (AAM) are a well-established method for facial landmark detection and face tracking. ...
To allow detection of occluded pixels, Gross et al. (Gross et al., 2006) introduced the idea of applying robust cost functions to the images during model fitting. ...
doi:10.5220/0006910005870592
dblp:conf/icete/KopaczkaGM18
fatcat:uhfhapo4ebgibayq3jxp6ork5q
Feature-Based Brain Mid-Sagittal Plane Detection By Ransac
2006
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In the following, we first explain the model-based feature point detection in each image line. ...
As a result, a minimum is located whether or not the projection fits the model. ...
doi:10.5281/zenodo.52770
fatcat:nlm7lecsbvc4xhskbbx4or6gfu
Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Finally, based on the estimated region of interest, parabolic lane models are fitted using robust fitting. ...
Due to the robust lane feature extraction and road area segmentation, the proposed algorithm robustly detects lane markings and achieves lane marking detection with an accuracy of 91% when tested on a ...
Then the feature points on this ROI are fitted to a parabola using robust fitting. This approach applies least squares fitting iteratively. ...
arXiv:1911.09054v1
fatcat:3tpn5erz2fcjdin72oxdkvagle
Multiple Plane Detection in Image Pairs Using J-Linkage
2010
2010 20th International Conference on Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
We present a new method for the robust detection and matching of multiple planes in pairs of images. Such planes can serve as stable landmarks for vision-based urban navigation. ...
Our approach starts from SIFT matches and generates multiple local homography hypotheses using the recent J-linkage technique by Toldo and Fusiello, a robust randomized multi-model estimation algorithm ...
Robust fitting and stability checks Since the distance function d F used in global merging measures the average (rather than maximum) error, we perform a final robust fitting step for each model C to improve ...
doi:10.1109/icpr.2010.91
dblp:conf/icpr/FouheySB10
fatcat:yr3xfz5lzzct7d2tugcozl3pqy
Robust multiple lane road modeling based on perspective analysis
2008
2008 15th IEEE International Conference on Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
In this paper, a new monocular image processing strategy that achieves a robust múltiple lañe model is proposed. ...
Typically, lañe modeling allows applications such as lañe departure warning or lañe invasión by other vehicles. ...
For this purpose, there are typically two main processing stages, feature extraction, which extracts features from images, and model fitting, that uses those features to obtain the number of lañes, their ...
doi:10.1109/icip.2008.4712275
dblp:conf/icip/NietoSJA08
fatcat:ifmy2bzjlvarld6hg67jcrjrya
Combined Precise Extraction and Topology of Points, Lines and Curves in Man-Made Environments
[chapter]
2017
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The method allows a precise and at the same time robust detection of the image features. ...
This article presents a novel method for a combined extraction of points, lines and arcs in images. Geometric primitives are fitted into extracted edge pixels. ...
Parabolas were chosen as the model for the arcs because they are easy to parameterize and a robust fitting is possible. ...
doi:10.1007/978-3-319-66709-6_10
fatcat:ndfnspf74jgepjxo3p24z4ftx4
Efficient Robust Active Appearance Model Fitting
[chapter]
2010
Communications in Computer and Information Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
The main idea is to apply a robust PCA model to reconstruct the missing feature information and to use the thus obtained image as input for the standard AAM fitting process. ...
In the experiments, we evaluated both, the FR-PCA model on the publicly available ALOI database and the whole robust AAM fitting chain on facial images. ...
In addition, this work was supported by the FFG project AUTOVISTA (813395) under the FIT-IT programme, and the Austrian Joint Research Project Cognitive Vision under projects S9103-N04 and S9104-N04. ...
doi:10.1007/978-3-642-11840-1_17
fatcat:cq4vqvj3gbdo7cqqzsundtcugm
Automatic Myonuclear Detection in Isolated Single Muscle Fibers Using Robust Ellipse Fitting and Sparse Representation
2014
IEEE/ACM Transactions on Computational Biology & Bioinformatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A set of representative training samples and a set of discriminative features are selected by a two-stage sparse model. ...
Accurate and robust detection of myonuclei in isolated single muscle fibers is required to calculate myonuclear domain size. ...
One robust ellipse fitting example using HEIV regression model is shown in Fig. 5 . ...
doi:10.1109/tcbb.2013.151
pmid:26356342
pmcid:PMC4669954
fatcat:22k5lcx6szhlzhanrkkgk2qr3e
3D Object Pose Tracking Using a Novel Model-Based Contour Fitting Algorithm
2016
ICIC Express Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Then, the 6-DOF pose of the object is estimated by minimizing sum of fitting errors between the projected contour model and the detected contour of the object in a captured image. ...
Given a CAD model of the object-of-interest, the proposed system first computes a projected contour model of the object in the image plane. ...
Keypoints are image features that can be repeatedly detected in images robust to translation, scaling, and rotation transformations. ...
doi:10.24507/icicel.10.03.563
fatcat:betogu4bvvfmba2ptweurph64u
A Robust And Efficient Segmentation Method Applied For Cardiac Left Ventricle With Abnormal Shapes
2015
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
First, a robust and efficient detection based on Hough forest localizes cardiac feature points. Such feature points are used to predict the initial fitting of the LV shape model. ...
Second, ASM is applied to further fit the LV shape model to the cardiac ultrasound image. With the robust initialization, ASM is able to achieve more accurate segmentation. ...
ACKNOWLEDGMENT The authors thank Hitachi Aloka Medical, Ltd. for providing cardiac images and ground-truth annotation data for the evaluation experiments of this work. ...
doi:10.5281/zenodo.1110753
fatcat:anzg2nujurh7xllikppr73swfm
Colored and anchored Active Shape Models for tracking and form description of the facial features under image-specific disturbances
2010
2010 5th International Symposium On I/V Communications and Mobile Network
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this work a robust method is introduced, which addresses the problem of automatic extraction and tracking of facial features in color image sequences. ...
The first step consists of a rough localization of the features while in the second step the facial features are exactly segmented using Active Shape Models (ASM). ...
model normal for the strongest gradient in the image. • Model fitting adapts the PDM and its deforming parameters to fit the model points best after the edge fitting. ...
doi:10.1109/isvc.2010.5656197
fatcat:xm6e3fn6gfabrprtkzzj2rfkwq
Robust iris segmentation based on learned boundary detectors
2012
2012 5th IAPR International Conference on Biometrics (ICB)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Finally, the edge points on the eyelids are detected and fitted as parabolas by robust least squares fitting. ...
Therefore a robust iris segmentation method based on specific edge detectors is proposed in this paper. ...
At last, edge points of upper and lower eyelids are detected by LBD and fitted as parabolas via robust least squares fitting. ...
doi:10.1109/icb.2012.6199826
dblp:conf/icb/LiST12
fatcat:ps4rceu525bqtoccgwij2po35y
Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Specifically, we employ the road shape extracted from OpenStreetMap as lane model, which is highly consistent with the real lane shape and irrelevant to lane features. ...
However, ego-lane detection in the missing feature scenarios is still an unsolved problem. ...
Therefore, we use OSM road shape as lane model, which is irrelevant to lane features and robust to a variety of missing feature scenarios. ...
doi:10.1109/access.2020.3000777
fatcat:px6l5ih26ncndmxlkpflt325lq
3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Another R3R is then employed to fit a 3D face model onto the 2D face image cropped with the refined bounding box at fine-scale. 2D landmark locations inferred from the fitted 3D face are further adjusted ...
For a given face image, our system first refines the face bounding box with landmark locations inferred from a 3D face model generated by a Recurrent 3D Regressor at coarse level. ...
For the detected face, a coarse 3D face fitting process is performed with a Recurrent 3D Regressor (R3R) that takes deep shape-indexed features as input at each regression iteration. 2D landmark locations ...
doi:10.1109/cvprw.2017.257
dblp:conf/cvpr/XiaoLCWFYK17
fatcat:gefev7wp3jf3jpo5zrgpb4yifm
Ellipse detection and matching with uncertainty
1992
Image and Vision Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
It infers the ellipses as projected circles, viewed obliquely, and uses this information to constrain the position, viewpoint and scale of model objects projected onto the image. ...
This paper considers the fitting of ellipses to edge-based pixel data in digital images. ...
Ellipses are commonly interpreted as oblique projections of circular features in the image [6, 8] . ...
doi:10.1016/0262-8856(92)90041-z
fatcat:rkwnmzhbbvbfffkmarlsdyjwga
« Previous
Showing results 1 — 15 out of 281,120 results