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Disparity-Compensated Compressed-Sensing Reconstruction for Multiview Images

Related publications (33)

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Robust visual tracking using feature selection

Fabien Willemin

Visual tracking has become a very important component in computer vision, but achieving a robust, reliable and real time tracking remains a real challenge.In order to improve the actual state-of-the-art, we choose to study and improve one of the most perfo ...

2014

Distributed Successive Refinement of Multiview Images Using Broadcast Advantage

Martin Vetterli, Guillermo Barrenetxea Kobas, Zichong Chen

In environmental monitoring applications, having multiple cameras focus on common scenery increases robustness of the system. To save energy based on user demand, successive refinement image coding is important, as it allows us to progressively request bet ...

Institute of Electrical and Electronics Engineers2012

Selected Contributions on Multimedia Quality Evaluation

Francesca De Simone

Multimedia signals, such as digital images and video sequences, are captured, processed and finally presented to human observers who directly or indirectly judge their quality. During the data acquisition, as well as the many steps of the processing chain, ...

EPFL2012

Toward Reliable MR-Based Brain Structure Morphometry

Bénédicte Marie Maréchal

Dementing neurodegenerative disorders have more and more prominent public health implications with the most frequent cause being the currently non reversible Alzheimer's Disease (AD). However, over the past 15 years, an abundant literature has demonstrated ...

EPFL2011

GUI-Aided NIR and Color Image Blending

Sabine Süsstrunk, Radhakrishna Achanta, Andrea Guidi

A near-infrared (NIR) image of a scene contains different information than the corresponding visible spectrum (RGB) image, due to physical phenomena related to scattering, absorption, and reflectance of the different radiation bands. It can be desirable to ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Registration for Super-Resolution: Theory, Algorithms, and Applications in Image and Mobile Video Enhancement

Martin Vetterli, Luciano Sbaiz, Patrick Vandewalle

The relation between sensor resolution and the optics of a digital camera is determined by the Nyquist sampling theorem: the sampling frequency should be larger than twice the maximum frequency of the image content coming out of the optical system. If a lo ...

Taylor& Francis / CRC Press2010

Resonant-Body Fin-FETs with sub-nW power consumption

Mihai Adrian Ionescu, Andrea Lovera, Dimitrios Tsamados, Daniel Grogg, Sebastian Thimotee Bartsch

This paper presents, for the first time, experimental evidence on resonant-body Fin-FETs (RB-FinFET) with two independent lateral gates, operated from weak to strong inversion, which enables unique trade-off between power consumption and gain. Resonance fr ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

DAISY: A Fast Descriptor for Dense Wide Baseline Stereo and Multiview Reconstruction

Engin Tola

Stereo reconstruction is a fundamental problem of computer vision. It has been studied for more than three decades and significant progress has been made in recent years as evidenced by the quality of the models now being produced. This is highly related w ...

EPFL2010

Face Image Enhancement Using 3D and Spectral Information

Sabine Süsstrunk, Charles Dubout

This paper presents a novel method of enhancing image quality of face pictures using 3D and spectral information. Most conventional techniques directly work on the image data, shifting the skin color to a predefined skin tone, and so do not take into accou ...

2009

Sub-100μW low power operation of vibrating body FETs

Mihai Adrian Ionescu, Daniel Grogg

This paper reports the low power operation of Vibrating Body Field Effect Transistors as active resonators for communication applications. For the first time we report active resonators operating at 2MHz and 20MHz with power consumption less than 100μW and ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009