iterative closest point algorithm
Anisotropic non-rigid Iterative Closest Point Algorithm for respiratory motion abdominal surface matching
... registration algorithm which uses feature points and deformation constraint was presented by ...The algorithm focuses on extracting a set of feature points between two point clouds using Intrinsic ...
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An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data
... an iterative closest point algorithm for refin- ing and getting accurate ...ICP algorithm to study the problem of non-sequential ...
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Performance Analysis of Iterative Closest Point (ICP) Algorithm using Modified Hausdorff Distance
... the Iterative Closest Point Algorithm, which is the most popular method used in this field through many different forms and ...ICP algorithm along with depth images or Simultaneous ...
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A 10 BIT 50 MS/S LOW POWER PIPELINE ADC FOR WIMAX/LTE
... our algorithm with original Iterative Closest Point Algorithm (ICP)[4] and ICP with angular invariant feature algorithm ...
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An Improved Iterative Closest Points Algorithm
... ICP algorithm is a kind of matching algorithms which is mostly used in three-dimension point cloud registra- ...the iterative optimization matrix. In each iteration, each point of the target ...
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Global ray-casting range image registration
... well-known iterative closest point (ICP) algorithm used in previously proposed methods, and thus, is the first direct global registration ...
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A Comparative study on data mining clustering...
... k. Iterative strategy is used when performing partitioning ...reference point and gradually, iterative strategy is ...partitioning algorithm used are K-means and ...data point in the ...
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Index Term: Face Recognition System, Registration, Biometrics, Curvature Analysis.
... In [11] they proposed a nose-based registration scheme for better handling of occluded faces. Curvature information is utilized for automatic detection of the nose area, and an average nose model is used for fine ...
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On strong convergence of an iterative algorithm for common fixed point and generalized equilibrium problems
... In this paper, we use VI(C, A) to denote the solution set of the variational inequality (.). One can see that the variational inequality (.) is equivalent to a fixed point problem. The element u ∈ C is a ...
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A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression
... logistic regression by formulating the dual problem, or treating it as a geometric program (Boyd et al., 2007). SMLR, algorithms for various sparse linear classifiers, can also solve sparse logistic regression ...
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An iterative algorithm for system of generalized equilibrium problems and fixed point problem
... an iterative algorithm for finding a common solution of a system of generalized equilibrium problems and a fixed point problem of strictly pseudo-contractive mapping in the setting of real Hilbert ...
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An iterative algorithm for hierarchical fixed point problems for a finite family of nonexpansive mappings
... Throughout this paper, we assume that H is a real Hilbert space whose inner product and norm are denoted by ·, · and · , respectively. We also assume that T : H → H is a nonexpansive operator, that is, Tx – Ty ≤ x – y ...
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An iterative algorithm for fixed point problem and convex minimization problem with applications
... A point x ∈ C is called a fixed point of T if Tx = ...The iterative approximation of fixed points for k-strictly pseudocontrac- tive mappings has been studied extensively by many authors (see, for ...
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Viscosity iterative algorithm for the zero point of monotone mappings in Banach spaces
... Motivated and inspired by the work of Martinet [9], Rockafellar [10], Zegeye [1], and Chidume et al. [2, 3], as well as Ibaraki and Takahashi [22], we wish to provide an af- firmative answer to the question. Our ...
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Composite viscosity methods for common solutions of general mixed equilibrium problem, variational inequalities and common fixed points
... of Fix(S) ∩ VI(C, A). Subsequently, given a contractive mapping f : C → C, an α-inverse strongly monotone mapping A : C → H and a nonexpansive mapping T : C → C, Jung ([], Theorem .) introduced the following two-step ...
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Three Dimensional Reconstruction Method with Parameter Optimization for Point Cloud Based on Kinect v2
... the point cloud images first considering that they are in the different ...Iterated Closest Points Algorithm (ICP), which was firstly proposed by Besl PG and Mckay ND in ...
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Solving the point-plane problem for the class of affine transformations and development of a fast iterative algorithm for registering of 3D point clouds
... fast iterative method for constructing a 3D accurate map of the surrounding environment using sequences of sparse point clouds obtained from depth sensors for dynamic, contextually complicated and ...
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Strong convergence of a modified iterative algorithm for hierarchical fixed point problems and variational inequalities
... Mann-type iterative format in [–, ] has been extended to the Ishikawa- type iterative format () in our Theorem ...their iterative formats (), (), () and () are some special cases of our ...
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Carl Jung (Young
... At one point Carl Jung was Freud’s closest associate, At one point Carl Jung was Freud’s closest associate, but Jung disagreed with Freud on two key points of.. but Jung disagreed wi[r] ...
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Approximation of common solutions for a fixed point problem of asymptotically nonexpansive mapping and a generalized equilibrium problem in Hilbert space
... an iterative algo- rithm for approximating a common solution of a generalized equilibrium problem and the fixed point problem for asymptotically nonexpansive ...proposed algorithm converges strongly ...
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