In this paper we address the problem of recovering structure and motion from the contours of a smooth-curved surface. A novel and simpler technique for computing the structure of an object from its profiles is introduced. Experiments with real data show encouraging results, which are comparable to those obtained from much more sophisticated techniques. Furthermore, a new method for motion estim...

Visualizing 3D continuum or time-varying simulation (scalar) datasets is diicult because of the immense amount of data to be processed and understood. Furthermore , these datasets may contain many evolving amorphous regions, making it diicult to visually follow features of interest. In this paper, we present a process for analyzing continuum datasets and review some of our previous work on feat...

This paper presents the design and implementation of a range of motion estimation method that is capable of fine-grained estimation during total hip replacement (THR) surgery. Our method combines an adaptive refinement strategy with a high performance computing system in order to enable real-time estimation. The experimental results indicate that the implementation on a cluster of 64 PCs enable...

Profiles of a sculpture provide rich information about its geometry, and can be used for model reconstruction under known camera motion. By exploiting correspondences induced by epipolar tangents on the profiles, a successful solution to motion estimation has been developed for the case of circular motion. Arbitrary general views can then be incorporated to refine the model built from circular ...

In this short paper, we present some new results for the problem of motion estimation under orthographic projection. We refine some basic results obtained by previous researchers and provide more detailed and precise results. We shbw that, in the two-view problem, when the rotation is around the optical axis, the motion (but not the structure) is uniquely determined. We show that, in the three-...

Motion estimation plays a key role in many video applications, such as frame-rate video conversion, video retrieval, video surveillance, and video compression. The key issue in these applications is to define appropriate representations that can efficiently support motion estimation with the required accuracy. In this paper, a low-complexity object motion estimation technique is proposed that i...

One way to visualize large time-dependent data sets, is by visualization of the evolution of features in these data. The process consists of four steps: feature extraction, feature tracking, event detection, and visualization. In earlier work, we described the execution of the tracking process by means of basic attributes like position and size, gathered in ellipsoid feature descriptions. Altho...

In this paper we present a method to obtain corresponding contour features in a sequence of images. Our final goal is to compute camera motion and structure, for navigation based on vision. We make a feature tracking in the image considering not only the contour geometric information, but also a brightness-based description. A kinematic model of brightness attributes has been proposed in order ...

We present a spatio-temporal analysis of motion at occluding boundaries as an extension of previous results for transparent motions. We show how these new results generalize alternative approaches derived in the Fourier domain that are limited by assuming straight occlusion boundaries. Furthermore, we derive a novel hierarchical algorithm that can deal with single, multiple-transparent, and occ...