Recherche

Afficher tous les résultats pour

Accueil

Personne

Sabine Süsstrunk

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (188)

Creating Personalized Jigsaw Puzzles

Sabine Süsstrunk, Appu Shaji, Yuliy Gennadievich Schwartzburg, Zahra Sadeghipoor Kermani, Cheryl Shaulya Lau

Designing aesthetically pleasing and challenging jigsaw puzzles is considered an art that requires considerable skill and expertise. We propose a tool that allows novice users to create customized jigsaw puzzles based on the image content and a user-define ...

2014

A Practical Method for Measuring the Spatial Frequency Response of Light Field Cameras

Loïc Arnaud Baboulaz, Sabine Süsstrunk, Damien Firmenich

The spatial frequency response (SFR) is one of the most important and unbiased image quality measures of a digital camera. It evaluates to which extent a lens/sensor combination can resolve scene details. In this paper, we propose a simple and practical me ...

IEEE2014

An Interactive Tool for Gamut Masking

Sabine Süsstrunk, Ying Song, Cheryl Shaulya Lau

Artists often want to change the colors of an image to achieve a particular aesthetic goal. For example, they might limit colors to a warm or cool color scheme to create an image with a certain mood or feeling. Gamut masking is a technique that artists use ...

2014

Automatic and Accurate Shadow Detection using Near-Infrared Information

Sabine Süsstrunk, Dominic Rüfenacht

We present a method to automatically detect shadows in a fast and accurate manner by taking advantage of the inherent sensitivity of digital camera sensors to the near-infrared (NIR) part of the spectrum. Dark objects, which confound many shadow detection ...

Institute of Electrical and Electronics Engineers2014

Binarization-free Text Line Extraction for Historical Manuscripts

Sabine Süsstrunk, Nikolaos Arvanitopoulos Darginis

2014

Temporally Consistent Snow Cover Estimation from Noisy, Irregularly Sampled Measurements

Sabine Süsstrunk, Dominic Rüfenacht, Matthew Brown

We propose a method for accurate and temporally consistent surface classification in the presence of noisy, irregularly sampled measurements, and apply it to the estimation of snow coverage over time. The input imagery is extremely challenging, with large ...

2014

Saliency Detection Using Regression Trees on Hierarchical Image Segments

Sabine Süsstrunk, Appu Shaji, Gökhan Yildirim

The currently best performing state-of-the-art saliency detection algorithms incorporate heuristic functions to evaluate saliency. They require parameter tuning, and the relationship between the parameter value and visual saliency is often not well underst ...

2014

Estimating Beauty Ratings of Videos using Supervoxels

Sabine Süsstrunk, Appu Shaji, Gökhan Yildirim

The major low-level perceptual components that influence the beauty ratings of video are color, contrast, and motion. To estimate the beauty ratings of the NHK dataset, we propose to extract these features based on supervoxels, which are a group of pixels ...

2013

Rare is Interesting: Connecting Spatio-Temporal Behavior Patterns with Subjective Image Appeal

Sabine Süsstrunk, Gökhan Yildirim

We analyze behavior patterns and photographic habits of the Nokia Mobile Data Challenge (NMDC) participants using GPS and timestamp data. We show that these patterns and habits can be used to estimate image appeal ratings of geotagged Flickr images. In ord ...

2013

Automatic Detection of Dust and Scratches in Silver Halide Film using Polarized Dark-Field Illumination

Sabine Süsstrunk, Dominic Rüfenacht

We present a method to automatically detect dust and scratches on photographic material, in particular silver halide film, where traditional methods for detecting and removing defects fail. The film is digitized using a novel setup involving crosspolarizat ...

2013

Low-Level Salient Region Detection Using Multi-Scale Filtering

Sabine Süsstrunk, Gökhan Yildirim

Various computer visions tasks require a summary of visually important regions in an image. Thus, developing simple yet accurate salient region detection algorithms has become an important research topic. The currently best performing state-of-the-art sali ...

2013

What is the Space of Spectral Sensitivity Functions for Digital Color Cameras?

Sabine Süsstrunk

Camera spectral sensitivity functions relate scene radiance with captured RGB triplets. They are important for many computer vision tasks that use color information, such as multispectral imaging, color rendering, and color constancy. In this paper, we aim ...

2013

Mirror Match: Reliable Feature Point Matching Without Geometric Constraints

Stefan Winkler, Sabine Süsstrunk

Many algorithms have been proposed to solve the problem of matching feature points in two or more images using geometric assumptions to increase the robustness of the matching. However, these assumptions do not always hold; in particular, few methods addre ...

2013

A Novel Compressive Sensing Approach to Simultaneously Acquire Color and Near-infrared Images on a Single Sensor

Sabine Süsstrunk, Yue Lu, Zahra Sadeghipoor Kermani

Sensors of most digital cameras are made of silicon that is inherently sensitive to both the visible and near-infrared parts of the electromagnetic spectrum. In this paper, we address the problem of color and NIR joint acquisition. We propose a framework f ...

2013

Text Recognition in Natural Images Using Multiclass Hough Forests

Sabine Süsstrunk, Radhakrishna Achanta, Gökhan Yildirim

Text detection and recognition in natural images are popular yet unsolved problems in computer vision. In this paper, we propose a technique that attempts to detect and recognize text in a unified manner by searching for words directly without reducing the ...

2013

Automatic Color Palette Creation from Words

Sabine Süsstrunk, Albrecht Johannes Lindner

We present an automatic framework to extract color palettes from words. This is a novel approach in comparison to existing solutions, e.g. manual creation or extraction from images. The associations between words and colors are deduced from a large databas ...

2013

Camera design for the simultaneous capture of near-infrared and visible images

Sabine Süsstrunk, Yue Lu

A camera for simultaneously capturing a visible and near-infrared (NIR) image of one or more objects, the camera comprising: at least one colour filter array (CFA) including at least four different filters, said at least one colour filter array having visi ...

US Patent Office2013

Near-Infrared Guided Color Image Dehazing

Sabine Süsstrunk, Chen Feng

Near-infrared (NIR) light has stronger penetration capability than visible light due to its long wavelength, thus being less scattered by particles in the air. This makes it desirable for image dehazing to unveil details of distant objects in landscape pho ...

2013

Joint Statistical Analysis of Images and Keywords with Applications in Semantic Image Enhancement

Sabine Süsstrunk, Albrecht Johannes Lindner, Appu Shaji

With the advent of social image-sharing communities, millions of images with associated semantic tags are now available online for free and allow us to exploit this abundant data in new ways. We present a fast non-parametric statistical framework designed ...

2012

Optimum Spectral Sensitivity Functions for Single Sensor Color Imaging

Sabine Süsstrunk, Yue Lu, Zahra Sadeghipoor Kermani

A cost-effective and convenient approach for color imaging is to use a single sensor and mount a color filter array (CFA) in front of it, such that at each spatial position the scene information in only one color channel is captured. To estimate the missin ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2012

Page 6 sur 10