Publications de Sabine Süsstrunk

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Analyzing Near-infrared Images for Utility Assessment

Sabine Süsstrunk, Zahra Sadeghipoor Kermani, Neda Salamati

Visual cognition is of significant importance in certain imaging applications, such as security and surveillance. In these applications, an important issue is to determine the cognition threshold, which is the maximum distortion level that can be applied t ...

SPIE-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2011

Multispectral SIFT for Scene Category Recognition

Sabine Süsstrunk, Matthew Brown

We use a simple modification to a conventional SLR camera to capture images of several hundred scenes in colour (RGB) and near-infrared (NIR). We show that the addition of near-infrared information leads to significantly improved performance in a scene-rec ...

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Multispectral Interest Points for RGB-NIR Image Registration

Sabine Süsstrunk, Matthew Brown, Damien Firmenich

This paper explores the use of joint colour and near-infrared (NIR) information for feature based matching and image registration. In particular, we investigate multispectral generalisations of two popular interest point detectors (Harris and difference of ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Spatio-Chromatic Decorrelation by Shift-Invariant Filtering

Pascal Fua, Sabine Süsstrunk, Matthew Brown

In this paper we derive convolutional filters for colour image whitening and decorrelation. Whilst whitening can be achieved via eigendecomposition of the image patch covariance, this operation is neither efficient nor biologically plausible. Given the shi ...

2011

Revisiting Radiometric Calibration for Color Computer Vision

Sabine Süsstrunk, Seungryong Kim, Matthew Brown

We present a study of radiometric calibration and the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is to investigate if image values can be transformed to physically meaningful values and ...

2011

Image sensor having nonlinear response

Martin Vetterli, Edoardo Charbon, Sabine Süsstrunk, Luciano Sbaiz

In previously known imaging devices as in still and motion cameras, for example, image sensor signal response typically is linear as a function of intensity of incident light. Desirably, however, akin to the response of the human eye, response is sought to ...

2011

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

Enhancing the Visible with the Invisble: RGB plus Near-Infrared

Sabine Süsstrunk, Yue Lu, Neda Salamati, Daniel Tamburrino, Lex Schaul, Nathalie Barbuscia

Silicon-based digital camera sensors exhibit significant sensitivity beyond the visible spectrum (400-700nm). They are able to capture wavelengths up to 1100 nm, i.e., they are sensitive to near-infrared (NIR) radiation. This additional information is conv ...

2010

Sabine Süsstrunk

Graph Chatbot

Chattez avec Graph Search

Analyzing Near-infrared Images for Utility Assessment

Evaluation of a Hyperspectral Image Database for Demosaicking Purposes

Multispectral SIFT for Scene Category Recognition

Multispectral Interest Points for RGB-NIR Image Registration

Spatio-Chromatic Decorrelation by Shift-Invariant Filtering

Revisiting Radiometric Calibration for Color Computer Vision

Image sensor having nonlinear response

GUI-Aided NIR and Color Image Blending

Enhancing the Visible with the Invisble: RGB plus Near-Infrared

Material-Based Object Segmentation Using Near-Infrared Information

Enhancing the Visible with the Invisble: RGB plus Near-Infrared

Analyzing Near-infrared Images for Utility Assessment

Spatio-Chromatic Decorrelation by Shift-Invariant Filtering

Evaluation of a Hyperspectral Image Database for Demosaicking Purposes

GUI-Aided NIR and Color Image Blending

Multispectral Interest Points for RGB-NIR Image Registration

Revisiting Radiometric Calibration for Color Computer Vision

Image sensor having nonlinear response

Material-Based Object Segmentation Using Near-Infrared Information

Multispectral SIFT for Scene Category Recognition