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 paper describes the semiglobal matching (SGM) stereo method. It uses a pixelwise,
mutual information (Ml)-based matching cost for compensating radiometric differences of …

Many computer vision tasks can be formulated as labeling problems. The desired solution is
often a spatially smooth labeling where label transitions are aligned with color edges of the …

Optimization is a powerful paradigm for expressing and solving problems in a wide range of
areas, and has been successfully applied to many vision problems. Discrete optimization …

Surface-based cortical registration methods that are driven by geometrical features, such as
folding, provide sub-optimal alignment of many functional areas due to variable correlation …

Matching cost aggregation is one of the oldest and still popular methods for stereo
correspondence. While effective and efficient, cost aggregation methods typically aggregate …

Stereo vision, resulting in the knowledge of deep information in a scene, is of great
importance in the field of machine vision, robotics and image analysis. In this article, an …

Computer vision encompasses the construction of integrated vision systems and the
application of vision to problems of real-world importance. The process of creating 3D …

Deformable image registration is an important tool in medical image analysis. In the case of
lung computed tomography (CT) registration there are three major challenges: large motion …

This paper proposes a novel framework integrating the principles of active stereo in
standard passive camera systems without a physical pattern projector. We virtually project a …