PPT-CSE 554 Lecture 9: Laplacian Deformation

Fall 2016 Review Alignment Registering source to target by rotation and translation Rigidbody transformations Methods Aligning principle directions PCA Aligning corresponding points SVD Iterative improvement ICP . microgravity are shown in Table 2.macrophage activator. The combination of CD40-cells, and IL-5, which activates eosinophils. A thirddiseases. Activated CD8+ lymphocytesTable 2: One-Tailed Wilcoxon Ma Computer Vision and Image Processing (CVIP). Ifeoma. Nwogu. inwogu@buffalo.edu. Lecture 11 – Local Features. 1. Schedule. Last class . We started local features. Today. More on local features. Readings for today: . Lecture 9: Laplacian Deformation. Fall . 2015. Review. Alignment. Registering source to target by rotation and translation. Rigid-body transformations. Methods. Aligning principle directions (PCA). Aligning corresponding points (SVD). n. 1/2. n. 1/3. 2D. 3D. Space (fill):. O(n log n). O(n . 4/3 . ). Time (flops):. O(n . 3/2 . ). O(n . 2 . ). Time and space to solve any problem on any well-shaped finite element mesh. Complexity of linear solvers. Correspondence. Ibraheem Alhashim . Kai . Xu . Yixin. . Zhuang . Junjie. Cao . Patricio . Simari . Hao. . Zhang. Presenter:. Ibraheem Alhashim. Simon Fraser University. Shape Correspondence. InstantonS. , . Instanton. numbers and ADHM construction. 　. ICMP 09, Prague, August 3, 2009. Akifumi Sako. Kushiro National College of Technology. Noncommutativity. of . R. n. NC parameter , Comm. Lim. , . keypoint. detection. D. Lowe, . Distinctive . image features from scale-invariant . keypoints. ,. . IJCV. 60 (2), pp. 91-110, 2004. . Keypoint. detection with . s. cale selection. We want to extract . Matrices of Graphs:. Algorithms and Applications. ICML, June 21, 2016. Daniel A. Spielman. Laplacians. . Interpolation on graphs. Spring networks. . Clustering. . Isotonic regression. Sparsification. Kinematic analysis of deformation. B. Natalin. Stress, strain, and deformation. The . stress . (σ) acting on a plane is the force per unit area of the plane (σ = . F. /area).. The. deformation . refers to changes in shape, position, or orientation of a body resulting from the application of a differential stress (i.e., a state in which the magnitude of stress is not the same in all directions).. M. Zollhöfer, E. Sert, G. Greiner and J. Süßmuth. Computer Graphics Group, University Erlangen-Nuremberg, Germany. Motivation/Requirements. Intuitive modeling. Handle-based. Direct manipulation. 2. Matrices of Graphs:. Algorithms and Applications. ICML, June 21, 2016. Daniel A. Spielman. Laplacians. . Interpolation on graphs. Spring networks. . Clustering. . Isotonic regression. Sparsification. Classical plate theory (CPT), of which classical lamination theory (CLT) assume that there is no shear deformation.. Strains vary linearly through the thickness and normal remain normal (. Kirchoff. -Love assumptions, 1888).. . Parameter. on . Reaction. Cross . Section. Ismail . Hakki. SARPUN. Abdullah AYDIN. Mahmut. BOYUKATA. Objective. Deformation parameter of the nuclei is one of the important arguments for the nuclear structure studies. . ch.. 11 of . Insight into Images. edited by Terry . Yoo. , et al.. Registration:. “Rigid” vs. Deformable. Rigid Registration:. Uses a simple transform, . uniformly. applied. Rotations, translations, etc..