high performance computing on graphics processing units: hgpu.org

In this paper, we present a new online video-based rendering (VBR) method that creates new views of a scene from uncalibrated cameras. Our method does not require information about the cameras intrinsic parameters. For obtaining a geometrical relation among the cameras, we use projective grid space (PGS) which is 3D space defined by epipolar geometry […]

In this paper we present a real-time simultaneous localization and mapping system which uses a stereo camera as its only input. We combine the benefits of KLT feature tracking, which include high speed and robustness to repetitive features, with wide baseline features, which allow for feature matching after large camera motions. Updating the map of […]

The High Performance Embedded Computing Software Initiative (HPEC-SI) is developing a unified software framework for computation and communication for high performance signal processing tasks on parallel computers. The goal of the program is to address the high cost of software in Department of Defense (DoD) systems by improving the portability and productivity of signal processing […]

Despite recent advances in FPGA, GPU, and general purpose processor technologies, the challenges posed by real-time digital image processing at high resolutions cannot be fully overcome due to insufficient processing capability, inadequate data transport and control mechanisms, and often prohibitively high costs. To address these issues, we proposed a two-phase solution for a real-time film […]

This paper describes real-time volumetric haptic and visual algorithms developed to simulate burrhole creation for a virtual reality-based craniotomy surgical simulator. A modified Voxmap point-shell algorithm (McNeely et al., 1999), (Renz et al., 2001) is created to simulate haptic interactions between bone cutting tools and voxel-based bone. New surface boundary detection and force feedback calculation […]

Biologically-inspired machine vision algorithms – those that attempt to capture aspects of the computational architecture of the brain – have proven to be a promising class of algorithms for performing a variety of object and face recognition tasks. However these algorithms typically require a large number of arithmetic operations per image frame evaluated. Meanwhile, the […]

We introduce a general technique for blending imagery from multiple projectors on a tracked, moving, non-planar object. Our technique continuously computes visibility of pixels over the surfaces of the object and dynamically computes the per-pixel weights for each projector. This approach supports smooth transitions between areas of the object illuminated by different number of projectors, […]

Caustics are important visual phenomena, as well as challenging global illumination effects in computer graphics. Physically caustics can be interpreted from one of two perspectives: in terms of photons gathered on scene geometry, or in terms of a pair of caustic surfaces. These caustic surfaces are swept by the foci of light rays. In this […]

Coarse piecewise linear approximation of surfaces causes the undesirable polygonal appearance of silhouettes. We present an efficient method for smoothing the silhouettes of coarse triangle meshes using efficient 3D curve reconstruction and simple local remeshing. It does not assume the availability of a fine mesh and generates only a moderate amount of additional data at […]

Spherical harmonic (SH) basis functions have been widely used for representing spherical functions in modeling various illumination properties. They can compactly represent low-frequency spherical functions. However, when the unconstrained least square method is used for estimating the SH coefficients of a hemispherical function, the magnitude of these SH coefficients could be very large. Hence, the […]

Advanced image processing algorithms usually require high computing performance. Today’s personal computers (PCs) offer satisfying resources for implementation of image processing tasks. However, as the image processing techniques are becoming more and more complex other implementation possibilities have to be searched. Since image processing algorithms usually comply with the Single Instruction Multiple Data (SIMD) model, […]

The groupwise approach to non-rigid image registration, solving the dense correspondence problem, has recently been shown to be a useful tool in many applications, including medical imaging, automatic construction of statistical models of appearance and analysis of facial dynamics. Such an approach overcomes limitations of traditional pairwise methods but at a cost of having to […]