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Distributed Representation of Geometrically Correlated Images with Compressed Linear Measurements
Related publications (59)
Joint Low-Rank And Sparse Light Field Modelling For Dense Multiview Data Compression
Pierre Vandergheynst, Mahdad Hosseini Kamal
The effective representation of the structures in the multiview images is an important problem that arises in visual sensor networks. This paper presents a novel recovery scheme from compressive samples which exploit local and non-local correlated structur ...
Ieee2013Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression
Pierre Vandergheynst, Mahdad Hosseini Kamal
The effective representation of the structures in the multiview images is an important problem that arises in visual sensor networks. This paper presents a novel recovery scheme from compressive samples which exploit local and non-local correlated structur ...
2013A geometric framework for registration of sparse images
Pascal Frossard, Alhussein Fawzi
We examine the problem of image registration when images have a sparse representation in a dictionary of geometric features. We propose a novel algorithm for aligning images by pairing their sparse components. We show numerically that this algorithm works ...
2013Robust Phase-Correlation based Registration of Airborne Videos using Motion Estimation
Jean-Philippe Thiran, Volker Gass, Frank Grégoire Jean de Morsier, Maurice Borgeaud
This paper presents a robust algorithm for the registration of airborne video sequences with reference images from a different source (airborne or satellite), based on phase-correlation. Phase-correlations using Fourier-Melin Invariant (FMI) descriptors al ...
Springer-Verlag2013Distributed Compressed Representation of Correlated Image Sets
Vision sensor networks and video cameras find widespread usage in several applications that rely on effective representation of scenes or analysis of 3D information. These systems usually acquire multiple images of the same 3D scene from different viewpoin ...
EPFL2012Joint Reconstruction of Correlated Images from Compressed Images
Pascal Frossard, Vijayaraghavan Thirumalai
This paper proposes a novel joint reconstruction algorithm to decode sets of correlated images from distributively compressed images. We consider a scenario where the images captured at different viewpoints are encoded independently using transform-based c ...
2012Correlation-aware packet scheduling for multi-camera streaming
Pascal Frossard, Thomas Maugey, Laura Toni
In multi-view applications, multiple cameras acquire the same scene from different perspectives, which results in correlated video streams. It becomes important to exploit this correlation at the acquisition side (i.e., in the source coding) or at the rece ...
2012Thresholding-based reconstruction of compressed correlated signals
Pascal Frossard, Alhussein Fawzi, Tamara Tosic
We consider the problem of recovering a set of correlated signals (\emph{e.g.,} images from different viewpoints) from a few linear measurements per signal. We assume that each sensor in a network acquires a compressed signal in the form of linear measurem ...
2012Method and system for recommending a product based upon skin color estimated from an image
Embodiments of the present invention recite a computer implemented method for recommending a product based upon skin color estimated from a single captured image. In one embodiment of the present invention, a skin color estimate, which is generated from a ...
2012Light Field Compressive Sensing In Camera Arrays
Pierre Vandergheynst, Mohammad Golbabaee, Mahdad Hosseini Kamal
This paper presents a novel approach to capture light field in camera arrays based on the compressive sensing framework. Light fields are captured by a linear array of cameras with overlapping field of view. In this work, we design a redundant dictionary t ...
Ieee2012