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Recent advances in imaging technologies, such as magnetic resonance imaging (MRI), positron emission tomography (PET) and diffusion tensor imaging (DTI) have accelerated brain research in many aspects. In order to better understand the synergy of the many processes involved in normal brain function, integrated modeling and analysis of MRI, PET, and DTI across subjects is highly desirable. The current...
In the system of computer vision, we can take two cameras to synchronously capture two digital images of scenery from different angle, and then rebuild 3D shape and position of spatial scenery by computer. It is furthest basic to rebuild 3D spatial point P with method based on stereo vision. Theoretically we can compute 3D world coordinate of spatial point P by the method according intersection of...
In this paper we articulate a new modeling paradigm for both local and global editing on complicated point set surfaces of arbitrary topology. In essence, the proposed technique leads to a novel point-set methodology that can unify the topological advantage of the level-set methods and the simplicity of point-sampled surfaces. Any user-specified region of a point set surface in our system can be embedded...
This paper addresses the problem of surface reconstruction of highly noisy point clouds. The surfaces to be reconstructed are assumed to be 2-manifolds of piecewise C/sup 1/ continuity, with isolated small irregular regions of high curvature, sophisticated local topology or abrupt burst of noise. At each sample point, a quadric field is locally fitted via a modified moving least squares method. These...
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