Publications related to Blob detection

A Deeper Look at Dataset Bias

Barbara Caputo, Tatiana Tommasi, Novi Patricia

The presence of a bias in each image data collection has recently attracted a lot of attention in the computer vision community showing the limits in generalization of any learning method trained on a specific dataset. At the same time, with the rapid deve ...

Springer Int Publishing Ag2015

Advances in digital SiPMs and their application in biomedical imaging

Edoardo Charbon

Similar to analog silicon photomultipliers (SiPMs), digital SiPMs (dSiPMs) essentially consist of an array of single-photon avalanche photodiodes (SPADs). Instead of a passive quench resistor, however, an active quenching circuit is locally integrated with ...

2015

Using False Colors to Protect Visual Privacy of Sensitive Content

Touradj Ebrahimi

Many privacy protection tools have been proposed for preserving privacy. Tools for protection of visual privacy available today lack either all or some of the important properties that are expected from such tools. Therefore, in this paper, we propose a si ...

Spie-Int Soc Optical Engineering2015

Registration with the Point Cloud Library A Modular Framework for Aligning in 3-D

Alexandru Eugen Ichim

The open-source point cloud library (PCL) and the tools available for point cloud registration is presented. Pairwise registration is usually carried out by means of one of the several variants of the ICP algorithm. Due to the nonconvexity of the optimizat ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Transfer Learning Through Greedy Subset Selection

Barbara Caputo, Ilja Kuzborskij

We study the binary transfer learning problem, focusing on how to select sources from a large pool and how to combine them to yield a good performance on a target task. In particular, we consider the transfer learning setting where one does not have direct ...

Springer Int Publishing Ag2015

Exploiting Scene Cues for Dropped Object Detection

Jean-Marc Odobez, Florent Monay Michaud

This paper presents a method for the automated detection of dropped objects in surveillance scenarios, which is a very important task for abandoned object detection. Our method works in single views and exploits prior information of the scene, such as geom ...

2014

Three-dimensional simulations of blob dynamics in a simple magnetized torus

Paolo Ricci, Joaquim Loizu Cisquella, Sébastien Jolliet, Federico David Halpern, Annamaria Mosetto, Annalisa Cardellini

The propagation of blobs, structures of localized enhanced plasma pressure, is studied in global three-dimensional simulations of a simple magnetized torus. In particular, we carry out single-seeded blob simulations to explore the dependence of the blob ve ...

Amer Inst Physics2014

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Michaël Unser, Julien René Pierre Fageot, Emrah Bostan

We study the statistics of wavelet coefficients of non-Gaussian images, focusing mainly on the behaviour at coarse scales. We assume that an image can be whitened by a fractional Laplacian operator, which is consistent with an

∥ω∥ ^{ -\gamma }

spectral ...

IEEE2014

Receptive Fields Selection for Binary Feature Description

Pascal Fua, Zhiye Wang, Tomasz Piotr Trzcinski, Bin Fan

Feature description for local image patch is widely used in computer vision. While the conventional way to design local descriptor is based on expert experience and knowledge, learning based methods for designing local descriptor become more and more popul ...

Institute of Electrical and Electronics Engineers2014

Estimation of Front-Crawl Energy Expenditure Using Wearable Inertial Measurement Units

Kamiar Aminian, Grégoire Millet, Farzin Dadashi

Measurement of the energy expenditure is crucial to understand the biophysics of any kind of human locomotion. Despite the promising application of inertial measurement unit (IMU) for quantification of the energy expenditure during human on-land activities ...

Institute of Electrical and Electronics Engineers2014

Blob detection

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A Deeper Look at Dataset Bias

Advances in digital SiPMs and their application in biomedical imaging

Using False Colors to Protect Visual Privacy of Sensitive Content

Registration with the Point Cloud Library A Modular Framework for Aligning in 3-D

Transfer Learning Through Greedy Subset Selection

Exploiting Scene Cues for Dropped Object Detection

Three-dimensional simulations of blob dynamics in a simple magnetized torus

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Receptive Fields Selection for Binary Feature Description

Estimation of Front-Crawl Energy Expenditure Using Wearable Inertial Measurement Units

Registration with the Point Cloud Library A Modular Framework for Aligning in 3-D

Using False Colors to Protect Visual Privacy of Sensitive Content

Transfer Learning Through Greedy Subset Selection

Exploiting Scene Cues for Dropped Object Detection

Three-dimensional simulations of blob dynamics in a simple magnetized torus

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Receptive Fields Selection for Binary Feature Description

Estimation of Front-Crawl Energy Expenditure Using Wearable Inertial Measurement Units

Advances in digital SiPMs and their application in biomedical imaging

A Deeper Look at Dataset Bias