We present a new approach for large-scale multi-view stereo matching, which is designed to
operate on ultra high-resolution image sets and efficiently compute dense 3D point clouds …

Since the initial comparison of Seitz et al.[48], the accuracy of dense multiview stereovision
methods has been increasing steadily. A number of limitations, however, make most of these …

Boosted by the Middlebury challenge, the precision of dense multi-view stereovision
methods has increased drastically in the past few years. Yet, most methods, although they …

We address the problem of large-scale 3D reconstruction from calibrated images relying on
a viewpoint-based approach. The representation is in the form of a collection of depth maps …

This paper presents a scalable multi-view stereo reconstruction method which can deal with
a large number of large unorganized images in affordable time and effort. The computational …

In this paper we propose a pipeline for accurate 3D reconstruction from multiple images that
deals with some of the possible sources of inaccuracy present in the input data. Namely, we …

Gesture recognition is one of the most promising subjects in the field of computer vision and
artificial intelligence; the development of it will have a profound influence on the research of …

The content of an image can be summarized by a set of homogeneous regions in an
appropriate feature space. When exact shape is not important, the regions can be …

Global bundle adjustment usually converges to a non-zero residual and produces sub-
optimal camera poses for local areas, which leads to loss of details for high-resolution …

This article describes an original method to reconstruct a 3D scene from a sequence of
images. Our approach uses both the dense 3D point cloud extracted by multi-view …