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We present OrcaM, a device for exploring new methods in the field of simultaneous acquisition of geometry, color and reflectance properties. OrcaM employs a full-spherical construction, a movable projector-camera unit, 633 individually controllable LEDs and a height-adjustable turntable with a glass carrier. In contrast to state of the art hardware layouts,(More)
We present a new algorithm extracting and fairing surfaces from segmented volumes composed of multiple materials. In a first pass, the material boundaries in the volume are smoothed considering signed distance functions for the individual materials. Second, we apply a marching-cubes-like contouring method providing initial meshes defining material(More)
We present a novel GPU-based algorithm for high-quality rendering of bivariate spline surfaces. An essential difference to the known methods for rendering graph surfaces is that we use quartic smooth splines on triangulations rather than triangular meshes. Our rendering approach is direct since we do not use an intermediate tessellation but rather compute(More)
We propose a practicable, fully automatic pipeline that directly computes high quality and memory efficient geometry representations from image based 3D reconstructions. It takes a set of calibrated depth and texture images as input. First, we iteratively compute a low frequency geometry proxy directly from the depth images in a photoconsistent way. Second,(More)
Effective documentation and display of ancient objects is an essential task in the field of cultural heritage conservation. Digitization plays an important role for the process of creating, preserving and accessing objects in digital space. Up to the present day, industrial scanners are used for this task that focus mainly on the detailed reconstruction of(More)
The objective of the VES project is the research and development of innovative techniques and solutions for the achievement of a virtual examination environment in echocardiography. One crucial point is the development of realistic geometric models representing the diseased human heart. For this purpose we decided to use real echocar-diography findings as a(More)
The problem of dense point set registration, given a sparse set of prior correspondences, often arises in computer vision tasks. Unlike in the rigid case, integrating prior knowledge into a registration algorithm is especially demanding in the non-rigid case due to the high variability of motion and deformation. In this paper we present the Extended(More)
We present a volume modelling approach based on sequences of two-dimensional ultrasound images. Though generally applicable to arbitrary freehand ultrasound, our method is designed for the reconstruction of timevarying volumes from ultrasound images of a human heart. Since the reliability of the reconstructed data depends very much on the spatial density of(More)
Effective documentation and display of ancient objects is an essential task in the field of cultural heritage conservation. Digitization plays an important role in the process of creating, preserving, and accessing objects in digital space. Up to the present day, industrial scanners are used for this task, which focus mainly on the detailed reconstruction(More)