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Modern graphics processing units (GPUs) are commodity data-parallel coprocessors capable of high performance computation and data throughput. It is well known that the GPUs are ideal implementation platforms for image processing applications. However, the level of efforts and expertise to optimize the application performance is still substantial. T...
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... the QR factorization is done with Householder transformations, a series of orthogonal transformations applied to the input matrix A to bring it into upper triangular form. The product of these orthogonal transformations is the matrix Q t giving Q t A = R. Figure 2 outlines the algorithm for IRLS-based Robust FIM. Given an n × m window, several different order robust surface fits for a pixel are computed up to a preselected maximum order. ...
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... An analogy may help to explain the significance of this 'purpose-oriented' approach to embodied interaction. For our analogy, consider the GPGPU approach to computing [7,8] where high-speed architectures designed for graphics are appropriated for general purpose computing. There is no single model behind the way memory, processor pipelines, and buses are designed for particular GPUs. ...
We shall explore interaction on a touch surface in two domains. In the first, we shall look at a system that enables Individuals with Blindness or Severe Visual Impairment (IBSVI) to read at their own pace. We show how reading and information access are inherently embodied activities, and how touch interaction can support reading for IBSVI. In the second project, we will investigate one of the challenges of spatial knowledge acquisition while moving through large virtual spaces. The widespread availability of consumer HDTVs with 3D capability have brought them within reach of use in classroom and other learning environments. We demonstrate how transferring walking action to the hand and fingers can enable virtual navigation with benefits in the form of route knowledge, survey knowledge, and perceptual gains over traditional virtual navigation techniques. The technique is lightweight and suitable for widespread use for learning.
