This tutorial presents a hands-on view of the field of multi-view stereo with a focus on
practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D …

In this paper the main problems and the available solutions are addressed for the
generation of 3D models from terrestrial images. Close range photogrammetry has dealt for …

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 …

In this paper, we introduce a local image descriptor, DAISY, which is very efficient to
compute densely. We also present an EM-based algorithm to compute dense depth and …

There are billions of photographs on the Internet, comprising the largest and most diverse
photo collection ever assembled. How can computer vision researchers exploit this …

In this paper we want to start the discussion on whether image based 3-D modelling
techniques can possibly be used to replace LIDAR systems for outdoor 3D data acquisition …

We introduce a novel local image descriptor designed for dense wide-baseline matching
purposes. We feed our descriptors to a graph-cuts based dense depth map estimation …

This paper proposes a quasi-dense approach to 3D surface model acquisition from
uncalibrated images. First, correspondence information and geometry are computed based …

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 …