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Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

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Code Sharing Is Associated with Research Impact in Image Processing

Patrick Vandewalle

In computational sciences such as image processing, publishing usually isn’t enough to allow other researchers to verify results. Often, supplementary materials such as source code and measurement data are required. Yet most researchers choose not to make ...

2012

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

Exploiting redundancy in color images

Joanna Marguier

The colors in a digital image do not only depend on the scene's reflectances, but also on the lighting conditions and on the characteristics of the imaging device. It is often necessary to separate the influence of these three elements, in particular to se ...

EPFL2010

Illuminant estimation and detection using near infrared

Sabine Süsstrunk

Digital camera sensors are sensitive to wavelengths ranging from the ultraviolet (200-400nm) to the near-infrared (700-100nm) bands. This range is, however, reduced because the aim of photographic cameras is to capture and reproduce the visible spectrum (4 ...

2009

A Home Décor expert in your camera

Sabine Süsstrunk, Joanna Marguier

We present a method to give color advice for Home Décor using images of room finishes, such as paint, flooring, or textiles, taken with uncalibrated cameras. Due to variations in color rendering across devices, an object imaged with different cameras will ...

2009

Image Formation, Colorimetry, Color Spaces, Color Encodings and Color Image Encodings, Color Management

Sabine Süsstrunk

This comprehensive treatise, featuring the history and historical processes of photography, contemporary applications, and the new and evolving digital technologies, will provide the most accurate technical synopsis of the current, as well as early worlds ...

Elsevier (Focal Press)2007

Compact representations for static and dynamic texture synthesis

Roberto Costantini

In nature, textures can be found everywhere. Texture, together with color and shape, represents the fundamental characteristics of objects. Texture conveys an idea of repetition of a certain structure, which is not limited only to the visual domain. We can ...

EPFL2007

Dynamic Texture Synthesis: Compact Models Based on Luminance -Chrominance Color Representation

Sabine Süsstrunk, Luciano Sbaiz, Roberto Costantini

Dynamic textures are sequences of images showing temporal regularity. Examples can be found in videos representing smoke, flames, ocean waves, wind-shaken forests, etc. Dynamic texture modelling and synthesis has usually been done considering RGB color ima ...

2006

The Influence of Luminance on Local Tone Mapping

Sabine Süsstrunk, Laurence Meylan

We study the influence of the choice of color space for local tone mapping methods. Many local tone mapping methods do not perform well when applied independently to the three color channels of an RGB image. A common solution is to only treat the luminance ...

2005

Shadow segmentation and tracking in real-world conditions

Elena Salvador

Visual information, in the form of images and video, comes from the interaction of light with objects. Illumination is a fundamental element of visual information. Detecting and interpreting illumination effects is part of our everyday life visual experien ...

EPFL2004