Efficient feature-based image registration by mapping sparsified surfaces
TLDR
In this article, the authors proposed a triangulation-based image representation method to accelerate the registration process by triangulating the images effectively, and applied a surface registration algorithm to obtain a registration map which is used to compute the registration of the high resolution image.About:
This article is published in Journal of Visual Communication and Image Representation.The article was published on 2018-08-01 and is currently open access. It has received 24 citations till now. The article focuses on the topics: Image registration & Triangulation (computer vision).read more
Citations
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Journal ArticleDOI
Shape analysis via inconsistent surface registration.
TL;DR: In this article, the authors developed a framework for shape analysis using inconsistent surface mapping, which automatically detects the most relevant parts of the two anatomical surfaces and finds the optimal landmark-matching alignment between these parts, without assuming any global 1-1 correspondence between the two surfaces.
Journal ArticleDOI
Topological View of Flows Inside the BOLD Spontaneous Activity of the Human Brain.
TL;DR: A topology of data given in terms of geometric shapes of BOLD signal propagation offers a practical approach in coping with and sidestepping massive noise in neurodata, such as unwanted dark regions in the neighborhood of non-zero BOLD signals.
Journal ArticleDOI
Free-Boundary Conformal Parameterization of Point Clouds
TL;DR: In this article, a free-boundary conformal parameterization method for disk-type point clouds is proposed, which involves a novel approximation scheme of the point cloud Laplacian with accumulated cotangent weights together with a special treatment at the boundary points.
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Digital image correlation method based on quasi-conformal mapping for large deformation measurement
TL;DR: In this article , an initial estimation algorithm, using geometric distortion as an indicator, is developed, and the more accurate deformation is adjusted by the modified inverse compositional Gauss-Newton (IC-GN) algorithm that introduces the inverse mapping of the initial estimation.
Journal ArticleDOI
Inconsistent Surface Registration via Optimization of Mapping Distortions
Di Qiu,Lok Ming Lui +1 more
TL;DR: In this paper, a variational model is proposed to solve the inconsistent surface registration problem by minimizing mapping distortions, where only a part of the source surface is in correspondence with a subset of the target surface.
References
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Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Proceedings ArticleDOI
A Combined Corner and Edge Detector
Chris Harris,Mike Stephens +1 more
TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Journal ArticleDOI
Image registration methods: a survey
Barbara Zitová,Jan Flusser +1 more
TL;DR: A review of recent as well as classic image registration methods to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas.
Book ChapterDOI
Triangle: Engineering a 2D Quality Mesh Generator and Delaunay Triangulator
TL;DR: Triangle as discussed by the authors is a robust implementation of two-dimensional constrained Delaunay triangulation and Ruppert's Delaunayer refinement algorithm for quality mesh generation, and it is shown that the problem of triangulating a planar straight line graph (PSLG) without introducing new small angles is impossible for some PSLGs.
Journal ArticleDOI
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.
Arno Klein,Jesper L. R. Andersson,Babak A. Ardekani,Babak A. Ardekani,John Ashburner,Brian B. Avants,Ming Chang Chiang,Gary E. Christensen,D. Louis Collins,James C. Gee,Pierre Hellier,Pierre Hellier,Joo Hyun Song,Mark Jenkinson,Claude Lepage,Daniel Rueckert,Paul M. Thompson,Tom Vercauteren,Tom Vercauteren,Roger P. Woods,J. John Mann,Ramin V. Parsey +21 more
TL;DR: This study is the largest evaluation of nonlinear deformation algorithms applied to brain image registration ever conducted and suggests that the findings are generalizable to new subject populations that are labeled or evaluated using different labeling protocols.