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Displaying 1-10 out of 10 total
What is the space of spectral sensitivity functions for digital color cameras?
Found in: 2013 IEEE Workshop on Applications of Computer Vision (WACV)
By Jun Jiang,Dengyu Liu,Jinwei Gu,Sabine Susstrunk
Issue Date:January 2013
pp. 168-179
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...
 
Keynote and Tutorial Speakers
Found in: Seventh International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2011)
By Zoltan Kato,William I. Grosky,Sabine Susstrunk,Jon Y. Hardeberg
Issue Date:November 2011
pp. xxvi-xxix
We consider the estimation of diffeomorphic transformations aligning a known shape and its distorted observation. The classical way to solve this registration problem is to find correspondences between the shapes and then compute the transformation paramet...
   
The gigavision camera
Found in: Acoustics, Speech, and Signal Processing, IEEE International Conference on
By Luciano Sbaiz, Edoardo Charbon, Sabine Susstrunk, Martin Vetterli
Issue Date:April 2009
pp. 1093-1096
We propose a new image device called gigavision camera. The main differences between a conventional and a gigavision camera are that the pixels of the gigavision camera are binary and orders of magnitude smaller. A gigavision camera can be built using stan...
 
Eigenregions for Image Classification
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Clément Fredembach, Michael Schröder, Sabine Süsstrunk
Issue Date:December 2004
pp. 1645-1649
For certain databases and classification tasks, analyzing images based on region features instead of image features results in more accurate classifications. We introduce eigenregions, which are geometrical features that encompass area, location, and shape...
 
Outlier Modeling in Image Matching
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David Hasler, Luciano Sbaiz, Sabine Süsstrunk, Martin Vetterli
Issue Date:March 2003
pp. 301-315
<p><b>Abstract</b>—We address the question of how to characterize the outliers that may appear when matching two views of the same scene. The match is performed by comparing the difference of the two views at a pixel level aiming at a bet...
 
Automatic and Accurate Shadow Detection Using Near-Infrared Information
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Dominic Rufenacht,Clement Fredembach,Sabine Susstrunk
Issue Date:August 2014
pp. 1-1
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 ...
 
Revisiting radiometric calibration for color computer vision
Found in: Computer Vision, IEEE International Conference on
By Haiting Lin, Seon Joo Kim,Sabine Susstrunk,Michael S. Brown
Issue Date:November 2011
pp. 129-136
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...
 
Automatic skin enhancement with visible and near-infrared image fusion
Found in: Proceedings of the international conference on Multimedia (MM '10)
By Clement Fredembach, Daniel Tamburrino, Sabine Susstrunk
Issue Date:October 2010
pp. 1693-1696
Skin tones, portraits in particular, are of critical importance in photography and video, but a number of factors, such as pigmentation irregularities (e.g., moles, freckles), irritation, roughness, or wrinkles can reduce their appeal. Moreover, such "defe...
     
Image summaries using database saliency
Found in: ACM SIGGRAPH ASIA 2009 Posters (SIGGRAPH ASIA '09)
By Appu Shaji, Pascal Fua, Radhakrishna Achanta, Sabine Susstrunk
Issue Date:December 2009
pp. 1-1
It is useful to have a small set of representative images from a database of thousands of images to summarize its content. There are two key aspects of such image summaries: how to generate them and how to present them. We address both issues. We extend th...
     
Color match: an imaging based mobile cosmetics advisory service
Found in: Proceedings of the 10th international conference on Human computer interaction with mobile devices and services (MobileHCI '08)
By Harlyn Baker, Hui Chao, Jhilmil Jain, John Schettino, Michael Harville, Mohamed Dekhil, Nic Lyons, Nina Bhatti, Sabine Susstrunk
Issue Date:September 2008
pp. 1-30
In this paper we describe an exploratory study of a mobile cosmetic advisory system that enables women to select appropriate colors of cosmetics. This system is intended for commercial use to address the problem of foundation color selection. Although wome...
     
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