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- Federico Tombari, Samuele Salti, Luigi di Stefano
- ECCV
- 2010
This paper deals with local 3D descriptors for surface matching. First, we categorize existing methods into two classes: Signatures and Histograms. Then, by discussion and experiments alike, we point… (More)
- Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab
- 2016 Fourth International Conference on 3D Vision…
- 2016
This paper addresses the problem of estimating the depth map of a scene given a single RGB image. We propose a fully convolutional architecture, encompassing residual learning, to model the ambiguous… (More)
- Samuele Salti, Federico Tombari, Luigi di Stefano
- Computer Vision and Image Understanding
- 2014
This paper presents a local 3D descriptor for surface matching dubbed SHOT. Our proposal stems from a taxonomy of existing methods which highlights two major approaches, referred to as Signatures and… (More)
- Federico Tombari, Samuele Salti, Luigi di Stefano
- 2011 18th IEEE International Conference on Image…
- 2011
Motivated by the increasing availability of 3D sensors capable of delivering both shape and texture information, this paper presents a novel descriptor for feature matching in 3D data enriched with… (More)
- Federico Tombari, Stefano Mattoccia, Luigi di Stefano
- PSIVT
- 2007
Significant achievements have been attained in the field of dense stereo correspondence by local algorithms based on an adaptive support. Given the problem of matching two correspondent pixels within… (More)
- Federico Tombari, Samuele Salti, Luigi di Stefano
- 3DOR@MM
- 2010
The use of robust feature descriptors is now key for many 3D tasks such as 3D object recognition and surface alignment. Many descriptors have been proposed in literature which are based on a… (More)
- Aitor Aldoma, Zoltan-Csaba Marton, +6 authors Markus Vincze
- IEEE Robotics & Automation Magazine
- 2012
With the advent of new-generation depth sensors, the use of three-dimensional (3-D) data is becoming increasingly popular. As these sensors are commodity hardware and sold at low cost, a rapidly… (More)
We propose a novel approach for verifying model hypotheses in cluttered and heavily occluded 3D scenes. Instead of verifying one hypothesis at a time, as done by most state-of-the-art 3D object… (More)
- Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, Nassir Navab
- 2017 IEEE International Conference on Computer…
- 2017
We present a novel method for detecting 3D model instances and estimating their 6D poses from RGB data in a single shot. To this end, we extend the popular SSD paradigm to cover the full 6D pose… (More)
- Federico Tombari, Samuele Salti, Luigi di Stefano
- International Journal of Computer Vision
- 2012
In the past few years detection of repeatable and distinctive keypoints on 3D surfaces has been the focus of intense research activity, due on the one hand to the increasing diffusion of low-cost 3D… (More)