An algorithm for estimating the three-dimensional motion of a human face from a monocular image sequence is investigated. For motion estimation, the shape of a human face is described by a three-dimensional rigid triangular mesh and its motion by six parameters: one three-dimensional translation vector and three rotation angles. The motion parameters are estimated by maximizing the conditional ...

This paper contributes to the recent attempts to generalize classical differential and tensor-based motion estimation methods; it provides means for a better adaptation to the statistical structure of signal and noise. We show that conventional differential constraint equations often used for motion analysis capture the essence of translational motion only partially, and we propose more express...

Inspired by the properties of the humam visual system, a new active vision system called ESCHeR (Etl Stereo Compact Head For Robot Vision) has been recently implemented with foveated wide-angle lenses. The lenses exhibit a wide eld of view along with a space-varying resolution for facilitating both detection and close observation. However, to handle such optical properties and achieve basic eye...

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 ...

An approach to visual motion estimation and its stabilization suitable for longitudinal camera motion is proposed. Closed contours with their image pair-like displacements in a short image sequence are detected. The contour length change rate is estimated allowing the rst stabilization step a weighted averaging of displacements. Two further steps follow the grouping of similarly moving neighbou...

An efficient segmentation technique of regular shaped sudden temporal intensity changes in image sequences is presented. It is based on morphological analysis of binarized difference images, and its parameters are dynamically modified according to an efficient estimation of the global motion of the scene. Motion analysis is carried out with the combination of a multiresolution flow estimation t...

bstract. We combine predictive hexagonal pattern and partial disortion searches with the recently proposed constrained one-bit ransform-based motion estimation scheme to reduce the computaional load of the motion estimation process. Furthermore, the kernel sed to obtain the one-bit images is simplified. Experimental results how significant reduction of the number of average search points, ith o...

This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationships allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP est...

Mapping and tracking biological ocean features, such as harmful algal blooms, is an important problem in the environmental sciences. The problem exhibits a high degree of uncertainty, because of both the dynamic ocean context and the challenges of sensing. Plan-based policy learning has been shown to be a powerful technique for obtaining robust intelligent behaviour in the face of uncertainty. ...