17 research outputs found
Robust Rotation Synchronization via Low-rank and Sparse Matrix Decomposition
This paper deals with the rotation synchronization problem, which arises in
global registration of 3D point-sets and in structure from motion. The problem
is formulated in an unprecedented way as a "low-rank and sparse" matrix
decomposition that handles both outliers and missing data. A minimization
strategy, dubbed R-GoDec, is also proposed and evaluated experimentally against
state-of-the-art algorithms on simulated and real data. The results show that
R-GoDec is the fastest among the robust algorithms.Comment: The material contained in this paper is part of a manuscript
submitted to CVI
A data-fusion approach to motion-stereo
This paper introduces a novel method for performing motion--stereo, based on dynamic integration of depth (or its proxy) measures obtained by pairwise stereo matching of video frames. The focus is on the data fusion issue raised by the motion--stereo approach, which is solved within a Kalman filtering framework. Integration occurs along the temporal and spatial dimension, so that the final measure for a pixel results from the combination of measures of the same pixel in time and whose of its neighbors. The method has been validated on both synthetic and natural images, using the simplest stereo matching strategy and a range of different confidence measures, and has been compared to baseline and optimal strategies
Block-sparsity-based localization in wireless sensor networks
In this paper, we deal with the localization problem in wireless sensor networks, where a target sensor location must
be estimated starting from few measurements of the power present in a radio signal received from sensors with
known locations. Inspired by the recent advances in sparse approximation, the localization problem is recast as a
block-sparse signal recovery problem in the discrete spatial domain. In this paper, we develop different
RSS-fingerprinting localization algorithms and propose a dictionary optimization based on the notion of the
coherence to improve the reconstruction efficiency. The proposed protocols are then compared with traditional
fingerprinting methods both via simulation and on-field experiments. The results prove that our methods outperform
the existing ones in terms of the achieved localization accuracy
An approach to create coprime polynomial pairs
We propose a method to generate pairs of relatively prime polynomials. The method is deterministic and depends on Gröbner basis techniques. A possible application to Cryptography is presented