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Shape Matching by Segmentation Averaging
[chapter]
2008
Lecture Notes in Computer Science
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We use segmentations to match images by shape. To address the unreliability of segmentations, we give a closed form approximation to an average over all segmentations. ...
For segmentation, instead of a maximum a posteriori approach, we compute the "central" segmentation minimizing the average distance to all segmentations of an image. ...
Conclusion We use image segmentations for shape matching. ...
doi:10.1007/978-3-540-88682-2_43
fatcat:buip627emrbcpicbblrnhbg52m
Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach
2014
International Journal of Biomedical Imaging
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The ASM pose parameters are found by transforming the average lung shape based on an affine transform computed from matching features between the new image and representative lung features. ...
Our method constructs an atlas consisting of a set of representative lung features and an average lung shape. ...
This work was supported in part by NIH Grants R01HL111453, P41EB015902, and P41EB015898. ...
doi:10.1155/2014/479154
pmid:25400660
pmcid:PMC4221988
fatcat:bwmgfzc4kvdrjg4yro5xqifa3q
Fast Retrieval of Isolated Visual Shapes
2002
Computer Vision and Image Understanding
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Average retrieval times ranged from 0.7 ms on a 131-shape database to 7 ms on a 1310-shape database. ...
The method is thus suitable for fast, approximate shape retrieval in comparison with more accurate but more costly structural matching. c 2002 Elsevier Science (USA) ...
The author was supported in part by NIH Grant 1-RO1 EY11747 during the period of this project. ...
doi:10.1006/cviu.2002.0959
fatcat:vdrno4tjrzbwbbcqzd4x6jkzlm
Enforcing local context into shape statistics
2008
Advances in Computational Mathematics
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Such a descriptor allows retaining geometric features such as high-curvature structures in the average shape, unlike conventional methods where the average shape is usually smoothed out by generic regularization ...
The obtained shape statistics are integrated into segmentation as a prior knowledge. The effectiveness of the method is demonstrated through experimental results with synthetic and real images. ...
The average shape is then defined by the function φ. ...
doi:10.1007/s10444-008-9104-5
fatcat:usvch4ax3ffy7fdlhabeukdzam
Category-Specific Object Recognition and Segmentation Using a Skeletal Shape Model
2009
Procedings of the British Machine Vision Conference 2009
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coverage Ferrari TR08 − average precision Our method − average coverage Our method − average precision Figure 3: (a) Segmentation examples of the ETHZ dataset. ...
to multiple contour points or by not matching the best edges to the contour points, Figure 2a . ...
− average coverage Ferrari TR08 − average precision Our method − average coverage Our method − average precision Figure 3: (a) Segmentation examples of the ETHZ dataset. ...
doi:10.5244/c.23.6
dblp:conf/bmvc/TrinhK09
fatcat:4arj5xlxr5fwlppvbttlicba7u
Automated 3-D Segmentation of Lungs With Lung Cancer in CT Data Using a Novel Robust Active Shape Model Approach
2012
IEEE Transactions on Medical Imaging
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First, a novel robust active shape model (RASM) matching method is utilized to roughly segment the outline of the lungs. ...
The initial position of the RASM is found by means of a rib cage detection method. ...
This work was supported in part by the Biological Sciences Funding Program of The University of Iowa. ...
doi:10.1109/tmi.2011.2171357
pmid:21997248
pmcid:PMC3657761
fatcat:7dpngpfpojc3den43oer7qokgm
Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans
[chapter]
2014
Lecture Notes in Computer Science
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In this work we present a novel technique we term active graph matching, which integrates the popular active shape model into a sparse graph matching problem. ...
Furthermore with the help of the generalized Hough transform, we are able to jointly segment and annotate a large set of nuclei in a fully automatic fashion for the first time. 1 We work exclusively with ...
We inpaint the missing nuclei shapes by assigning the shape of the closest not-annotated nucleus in the respective manual segmentation. ...
doi:10.1007/978-3-319-10404-1_11
fatcat:7vih7ufkf5bcznnhuuro34pg5a
Ventricle Registration for Inter-subject White Matter Lesion Analysis
[chapter]
2004
Lecture Notes in Computer Science
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To prevent false deformations of the lesions we non-rigidly register CSF segmentations to the average lateral ventricle image. ...
A binary average image of the lateral ventricle system is used as a reference image for registration. ...
All white matter lesion segmentations were transformed to the reference average ventricle shape by applying the transformations found for the CSF segmentation registration. ...
doi:10.1007/978-3-540-30135-6_87
fatcat:sf2vgbroevbn7ey2ylsbp2xsvy
Retrieving Matching CAD Models by Using Partial 3D Point Clouds
2007
Computer-Aided Design and Applications
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Our approach involves segmenting the point cloud and CAD mesh models into surface patches. ...
The next step is to identify corresponding surface patches in point clouds and CAD models that could potentially match. ...
This research has been supported in part by NSF grant DMI0093142. Opinions expressed in this paper are those of authors and do not necessarily reflect opinion of the sponsors. ...
doi:10.1080/16864360.2007.10738497
fatcat:lgrgqr5dj5cphgvx6zgnknteza
Robust Structure-Based Shape Correspondence
2018
Computer graphics forum (Print)
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We generate simplified shape graphs by jointly decomposing the shapes, and devise an adapted graph-matching technique, from which we infer correspondences between shape regions. ...
We demonstrate that the region-wise matching that we obtain can be used to find correspondences between feature points, reveal the intrinsic self-similarities of each shape, and even construct point-to-point ...
Parts of this work were supported by the Chateaubriand Fellowship, Marie-Curie CIG-334283, a CNRS chaire d'excellence, chaire Jean Marjoulet from Ecole Polytechnique, FUI project TANDEM 2, a Google Focused ...
doi:10.1111/cgf.13389
fatcat:j52orbnwxrfhjn4ggwu2zw4tsm
Robust Structure-based Shape Correspondence
[article]
2018
arXiv
pre-print
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We generate simplified shape graphs by jointly decomposing the shapes, and devise an adapted graph-matching technique, from which we infer correspondences between shape regions. ...
We demonstrate that the region-wise matching that we obtain can be used to find correspondences between feature points, reveal the intrinsic self-similarities of each shape, and even construct point-to-point ...
Parts of this work were supported by the Chateaubriand Fellowship, Marie-Curie CIG-334283, a CNRS chaire d'excellence, chaire Jean Marjoulet from Ecole Polytechnique, FUI project TANDEM 2, a Google Focused ...
arXiv:1710.05592v2
fatcat:lywqcbydvrfbfdazufji3tulsi
Automatic Registration Method for Optical Remote Sensing Images with Large Background Variations Using Line Segments
2016
Remote Sensing
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As a result of the invariance of the main shape contours, correct line segment matches will have similar descriptors and can be obtained by cross-matching among the descriptors. ...
Boundary curves were segmented from images, and equidistant key points could be obtained by sampling the curves. ...
As the main shape contours are relatively stable, correct line matches could be obtained by cross-matching among their descriptors. ...
doi:10.3390/rs8050426
fatcat:v37vwbfzt5bvto3d5avs5q3fxm
A Novel Liver Perfusion Analysis Based on Active Contours and Chamfer Matching
[chapter]
2006
Lecture Notes in Computer Science
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single shape prior. ...
matching algorithm, and finally a refined intensity curve without respiration affection can be achieved. ...
From left to right are: hit edge pixels; complete liver shape by connecting hit edge pixels; segmented liver by our method using level set method to smooth; segmented liver by FMM+Levle Set Method. segmentation ...
doi:10.1007/11812715_14
fatcat:uheoaurivnh4very2mgb2spbmy
Segmenting Articulated Structures by Hierarchical Statistical Modeling of Shape, Appearance, and Topology
[chapter]
2001
Lecture Notes in Computer Science
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Acknowledgements This work was supported by the Ministry of Science and Technology of the Republic of Slovenia under grant J2-0659-1538 and by the IST-1999-12338 project, funded by the European Commission ...
The resulting RMS errors were on the average 2.2 pixels, while the initial RMS error ranged on the average from 5.5-7.5 pixels. ...
When segmenting a given image, the anatomically plausible configuration of the models is searched for in coarse and fine matching steps. ...
doi:10.1007/3-540-45468-3_60
fatcat:4z7sdhvq3ja33pledehfg2irhu
Face Analysis Using Curve Edge Maps
[chapter]
2011
Lecture Notes in Computer Science
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When applied to different face databases and video sequences, the average face recognition rate is 95.51%, the average facial feature detection rate is 91.92% and the accuracy in location of the facial ...
In this approach, faces are represented with Curve Edge Maps, which are collections of polynomial segments with a convex region. ...
The task of facial analysis has generally been addressed by algorithms that use shape and texture modelling. The Active Shape Model (ASM), proposed by Cootes et. al. ...
doi:10.1007/978-3-642-24088-1_12
fatcat:bkznahgbe5fjnjhlgcbgpehnem
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