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The 3D-3D Registration Problem Revisited
2007 IEEE 11th International Conference on Computer Vision, 2007We describe a new framework for globally solving the 3D-3D registration problem with unknown point correspondences. This problem is significant as it is frequently encountered in many applications. Existing methods are not fully satisfactory, mainly due to the risk of local minima.
Hongdong Li, Richard I. Hartley
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RED-BLUE SEPARABILITY PROBLEMS IN 3D
International Journal of Computational Geometry & Applications, 2003In this paper we study the problems of separability of two disjoint point sets in 3D by multiple criteria extending some notions on separability of two disjoint point sets in the plane.
Ferran Hurtado +2 more
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Tensor Decomposition for 3D Bars Problem [PDF]
In this paper, we compare performance of several dimension reduction techniques, namely SVD, NMF and SDD. The qualitative comparison is evaluated on a collection of bars. We compare the quality of these methods from on the base of the visual impact. We also compare dimension reduction techniques SVD and HO-SVD on tensors - 3D bars.
Jan Platos +4 more
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A Fast 3D-BSG Algorithm for 3D Packing Problem
2007 IEEE International Symposium on Circuits and Systems (ISCAS), 20073D packing is a fundamental problem for VLSI design. It arises from 3D-ICs floorplan design and task schedule in reconfigurable FPGA design. In this paper, we present a novel 3D floorplan representation by improving the 3D bounded slice-surface grid (3D-BSG) structure in two aspects: (1) optimize the evaluation time complexity from O(n3) to O(n2) by ...
Lingyi Zhang +3 more
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3D reconstruction: The registration problem
Computer Vision, Graphics, and Image Processing, 1988Abstract Three dimensional (3D) reconstruction of serial sections through biological tissue is a very important method for visualizing and quantifying the 3D relationships between internal structures. This project involves the automation of the 3D reconstruction process, focusing on the problem of registering or aligning successive serial sections ...
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Reducing the 3D Problem to a 1D Problem
2021This chapter is titled: “Reducing 3D problem to 1D problem.” This chapter takes up the problem at non-zero magnetic field. After a description of the problem, we write down the eigenvalue equation of energy of an electron in presence of electric and magnetic field using classical Hamiltonian function.
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3D Multimodality imaging: The registration problem
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1992A parameter clustering approach has been developed to register sets of 3D MRI, PET, and SPECT images. Experiments have demonstrated the validity of the approach. In addition, by adjusting the clustering criterion, this clustering approach can build up a link between the least squares fitting and the Hough transform approach in the application of 3D ...
Chen, Qin-Sheng +3 more
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1995
In this section I introduce the angular momentum operators and their commutation relations (CR). Later on we will find the eigenfunctions and verify the eigenvalues for some examples. Angular momentum plays an important role in QM. In classical mechanics the angular momentum vector 1 = r × p of a point particle moving in a central potential V(r) is ...
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In this section I introduce the angular momentum operators and their commutation relations (CR). Later on we will find the eigenfunctions and verify the eigenvalues for some examples. Angular momentum plays an important role in QM. In classical mechanics the angular momentum vector 1 = r × p of a point particle moving in a central potential V(r) is ...
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Diffraction Problems of 3D Seismic Imaging
59th EAGE Conference & Exhibition, 1997Migration is essential to seismic imaging. It is carried out by backward extrapolation of the wavefield registered on the observation surface. The quality of images depends on the accuracy of the wavefield reconstruction at interior subsurface points. From the theory based on the exact solution of the scalar wave equation it is known that, for accurate
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3D/4D sonography – any safety problem
Journal of Perinatal Medicine, 2016AbstractGray-scale image data are processed in 3D ultrasound by repeated scans of multiple planes within a few seconds to achieve one surface rendering image and three perpendicular plane images. The 4D image is achieved by repeating 3D images in short intervals, i.e. 3D and 4D ultrasound are based on simple B-mode images.
Ritsuko K, Pooh +9 more
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