3D reconstruction from a single image is a key problem in multiple applications ranging from
robotic manipulation to augmented reality. Prior methods have tackled this problem through …

Supervised 3D reconstruction has witnessed a significant progress through the use of deep
neural networks. However, this increase in performance requires large scale annotations of …

We present a dense reconstruction approach that overcomes the drawbacks of traditional
multiview stereo by incorporating semantic information in the form of learned category-level …

In the heritage field, the demand for fast and efficient 3D digitization technologies for historic
remains is increasing. Besides, 3D has proven to be a promising approach to enable …

Acquisition of 3D geometry, texture and optical material properties of real objects still
consumes a considerable amount of time, and forces humans to dedicate their full attention …

A description is given of:(1) a finite-state model for asynchronous systems in which the time
delays between the scheduling and occurrence of the events that cause state changes are …

This paper describes an approach for Structure from Motion (SfM) for wide baselines image
sets and its combination with the dense Semiglobal Matching (SGM) 3D reconstruction …

The European Cultural Heritage Strategy for the 21st century, within the Digital Agenda, one
of the flagship initiatives of the Europe 2020 Strategy, has led to an increased demand for …

Highly effective optimization frameworks have been developed for traditional multiview
stereo relying on lambertian photoconsistency. However, they do not account for complex …

Geolocalization of crowdsourced images is a challenging task that is getting increased
attention nowadays due to the rise in popularity of geotagging and its applications. Among …