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Robust Statistics for Feature-based Active Appearance Models

Marcin Kopaczka, Philipp Gräbel, Dorit Merhof
2018 Proceedings of the 15th International Joint Conference on e-Business and Telecommunications  
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

Ahmet Ekin
2006 Zenodo  
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]

Umar Ozgunalp, Rui Fan, Shanshan Cheng, Yuxiang Sun, Weixun Zuo, Yilong Zhu, Bohuan Xue, Linwei Zheng, Qing Liang, Ming Liu
2019 arXiv   pre-print
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

David F. Fouhey, Daniel Scharstein, Amy J. Briggs
2010 2010 20th International Conference on Pattern Recognition  
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

Marcos Nieto, Luis Salgado, Fernando Jaureguizar, Jon Arrospide
2008 2008 15th IEEE International Conference on Image Processing  
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]

Dominik Wolters, Reinhard Koch
2017 Lecture Notes in Computer Science  
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]

Markus Storer, Peter M. Roth, Martin Urschler, Horst Bischof, Josef A. Birchbauer
2010 Communications in Computer and Information Science  
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

Hai Su, Fuyong Xing, Jonah D. Lee, Charlotte A. Peterson, Lin Yang
2014 IEEE/ACM Transactions on Computational Biology & Bioinformatics  
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

Chi-Yi Tsai, Wei-Yi Wang, Shu-Hsiang Tsai
2016 ICIC Express Letters  
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

Peifei Zhu, Zisheng Li, Yasuki Kakishita, Mayumi Suzuki, Tomoaki Chono
2015 Zenodo  
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

Axel Panning, Ayoub Al-Hamadi, Bernd Michaelis, Heiko Neumann
2010 2010 5th International Symposium On I/V Communications and Mobile Network  
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

Haiqing Li, Zhenan Sun, Tieniu Tan
2012 2012 5th IAPR International Conference on Biometrics (ICB)  
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

Xiaoliang Wang, Yeqiang Qian, Chunxiang Wang, Ming Yang
2020 IEEE Access  
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

Shengtao Xiao, Jianshu Li, Yunpeng Chen, Zhecan Wang, Jiashi Feng, Shuicheng Yan, Ashraf Kassim
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
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

Tim Ellis, Ahmed Abbood, Beatrice Brillault
1992 Image and Vision Computing  
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
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