In current decades, significant advancements in robotics engineering and autonomous
vehicles have improved the requirement for precise depth measurements. Depth estimation …

Although stereo vision research has progressed remarkably, stereo systems still need a fast,
accurate way to estimate confidence in their output. In the current paper, we explore using …

In this paper, novel algorithms computing dense 3D scene flow from multiview image
sequences are described. A new hierarchical rule-based stereo matching algorithm is …

What is the best accuracy that can be achieved with two cameras in a stereovision
arrangement? Stereovision allows 3D measurement. Such arrangements are used more …

Stereo matching is an ill-posed problem for at least two principal reasons:(1) because of the
random nature of match similarity measure and (2) because of structural ambiguity due to …

Though extensions to the relational data model have been proposed in order to handle
probabilistic information, there has been very little work to date on handling aggregate …

An important objective in the evaluation of algorithms with sensory inputs is the development
of measures characterizing the intrinsic errors in the results. Intrinsic are those errors which …

Interest in XML databases has been expanding rapidly over the last few years. In this paper,
we study the problem of incorporating probabilistic information into XML databases. We …

Deformable models are a useful modeling paradigm in computer vision. A deformable
model is a curve, a surface, or a volume, whose shape, position, and orientation are …

Interest in XML databases has been growing over the last few years. In this paper, we study
the problem of incorporating probabilistic information into XML databases. We propose the …