A significant amount of research in the field of stereo vision has been published in the past
decade. Considerable progress has been made in improving accuracy of results as well as …

This vision paper frames requirements engineering as a creative problem solving process.
Its purpose is to enable requirements researchers and practitioners to recruit relevant …

This work presents a Multi-View Stereo system for robust and efficient dense modeling from
unstructured image collections. Our core contributions are the joint estimation of depth and …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Stereo matching is one of the most active research areas in computer vision. While a large
number of algorithms for stereo correspondence have been developed, relatively little work …

We present a new window-based method for correspondence search using varying support-
weights. We adjust the support-weights of the pixels in a given support window based on …

Several new algorithms for visual correspondence based on graph cuts have recently been
developed. While these methods give very strong results in practice, they do not handle …

Extraction of three-dimensional structure of a scene from stereo images is a problem that
has been studied by the computer vision community for decades. Early work focused on the …

Dense motion estimations obtained from optical flow techniques play a significant role in
many image processing and computer vision tasks. Remarkable progress has been made in …

There is an increasing need for passive 3D scanning in many applications that have
stringent energy constraints. In this paper, we present an approach for single frame, single …