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Physical Sciences and Mathematics Commons

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Computer Sciences

Link Foundation Modeling, Simulation and Training Fellowship Reports

Series

1999

Articles 1 - 3 of 3

Full-Text Articles in Physical Sciences and Mathematics

Mreps: A New Object Representation For Graphics, Andrew L. Thall Oct 1999

Mreps: A New Object Representation For Graphics, Andrew L. Thall

Link Foundation Modeling, Simulation and Training Fellowship Reports

M-reps are a multiscale approach to the modeling and rendering of 30 solid geometry. Traditional geometric models, whether b-reps or CSG, are represented at infinitesimal spatial scale and then require simplification to meet needs requiting coarser scale or smaller data sets. We have developed a model that is designed at successively smaller scales and supports a coarse-to-fine hierarchy in design, rende1ing, physical deformation, and other graphics operations. We base our representation on figural models, defined at coarse scale by a hierarchy of figures - protrusions, indentations, corners, neighboring figures, and included figures - which simultaneously represent solid regions and their …


Spatially Augmented Reality, Ramesh Raskar Jan 1999

Spatially Augmented Reality, Ramesh Raskar

Link Foundation Modeling, Simulation and Training Fellowship Reports

To create an effective illusion of virtual objects coexisting with the real world, see-through HMD-based Augmented Reality techniques supple1nent the user's view with images of virtual objects. We introduce here a new paradigm, Spatially Augmented Reality (SAR), where virtual objects are rendered directly within or on the user's physical space. A key benefit of SAR is that the user does not need to wear a head-mounted display. Instead, with the use of spatial displays, wide field of view and possibly high-resolution images of virtual objects can be integrated directly into the environ1nent. For example, the virtual objects can be realized …


Camera Trackers, Matthew Cutts Jan 1999

Camera Trackers, Matthew Cutts

Link Foundation Modeling, Simulation and Training Fellowship Reports

Tracking an object's location with inertial sensors works well over short time periods, but sensor drift and errors in integration cause errors to accumulate exponentially. Images, in contrast, work very well to determine a camera's location provided that the camera moves slowly. I received fellowship funding to work on a hybrid image and inertial tracker. The idea was to use data from the image sensors to correct errors and drift in the inertial sensors. The computer vision community has expended a great deal of energy in pursuing motion tracking from images. This area of research is also related to compositing …