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ACCV
2007
Springer
14 years 14 days ago
Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER
Given a collection of images of offices, what would we say we see in the images? The objects of interest are likely to be monitors, keyboards, phones, etc. Such identification of t...
Devi Parikh, Tsuhan Chen
ECCV
2008
Springer
14 years 10 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ICPR
2010
IEEE
13 years 7 months ago
2LDA: Segmentation for Recognition
Abstract—Following the trend of “segmentation for recognition”, we present 2LDA, a novel generative model to automatically segment an image in 2 segments, background and fore...
Alessandro Perina, Marco Cristani, Vittorio Murino
ICIP
2000
IEEE
14 years 10 months ago
Geometric and Topological Lossy Compression of Dense Range Images
This paper presents a technique for lossy compression of dense range images. Two separate compression schemes are applied. The first scheme (geometric compression) reduces redunda...
Angel Domingo Sappa, Boris Xavier Vintimilla, Migu...
BMCBI
2004
208views more  BMCBI 2004»
13 years 8 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov