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Ítem ReWeb3D: enabling desktop 3D applications to run in the web(ACM, 2013) Glander, Tassilo; Moreno, Aitor; Aristizábal, Mauricio; Congote, John; Posada, Jorge; García-Alonso, Alejandro; Ruíz, Oscar; Universidad EAFIT. Departamento de Ingeniería Mecánica; Laboratorio CAD/CAM/CAECurrently, 3D rendering is accessible within Web browsers through open standards such as WebGL, X3D, and X3DOM -- At the same time, there is wealth of mature desktop software which comprises algorithms, data structures, user interfaces, databases, etc -- It is a challenge to reuse such desktop software using the Web visualization resources -- In response to this challenge, this article presents a novel framework, called ReWeb3D, which minimizes the redevelopment for migration of existing 3D applications to the Web -- The redeployed application runs on a Web server -- ReWeb3D captures lowlevel graphic calls including geometry, texture, and shader programs -- The captured content is then served as a WebGLenabled web page that conveys full interactivity to the client -- By splitting the graphics pipeline between client and server, the workload can be balanced, and highlevel implementation details and 3D content are hidden -- The feasibility of ReWeb3D has been tested with applications which use OpenSceneGraph as rendering platform -- The approach shows good results for applications with large data sets (e.g. geodata), but is less suited for applications intensive in animations (e.g. games)Ítem Sensitivity analysis of optimized curve fitting to uniform-noise point samples(2012-05) Ruíz, Óscar; Cortes, Camilo; Acosta, Diego; Aristizábal, Mauricio; Universidad EAFIT. Departamento de Ingeniería Mecánica; Laboratorio CAD/CAM/CAECurve reconstruction from noisy point samples is needed for surface reconstruction in many applications (e.g. medical imaging, reverse engineering,etc.) -- Because of the sampling noise, curve reconstruction is conducted by minimizing the fitting error (f), for several degrees of continuity (usually C0, C1 and C2) -- Previous works involving smooth curves lack the formal assessment of the effect on optimized curve reconstruction of several inputs such as number of control points (m), degree of the parametric curve (p), composition of the knot vector (U), and degree of the norm (k) to calculate the penalty function (f) -- In response to these voids, this article presents a sensitivity analysis of the effect of mand k on f -- We found that the geometric goodness of the fitting (f) is much more sensitive to m than to k -- Likewise, the topological faithfulness on the curve fit is strongly dependent on m -- When an exaggerate number of control points is used, the resulting curve presents spurious loops, curls and peaks, not present in the input data -- We introduce in this article the spectral (frequency) analysis of the derivative of the curve fit as a means to reject fitted curves with spurious curls and peaks -- Large spikes in the derivative signal resemble Kronecker or Dirac Delta functions, which flatten the frequency content adinfinitum -- Ongoing work includes the assessment of the effect of curve degree p on f for non-Nyquist point samples