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SCIA
2009
Springer
125views Image Analysis» more  SCIA 2009»
13 years 11 months ago
Recognition of Protruding Objects in Highly Structured Surroundings by Structural Inference
Recognition of objects in highly structured surroundings is a challenging task, because the appearance of target objects changes due to fluctuations in their surroundings. This ma...
Vincent Frans van Ravesteijn, Frans M. Vos, Lucas ...
ICCV
2007
IEEE
14 years 7 months ago
Adaptive enhancement and noise reduction in very low light-level video
A general methodology for noise reduction and contrast enhancement in very noisy image data with low dynamic range is presented. Video footage recorded in very dim light is especi...
Henrik Malm, Magnus Oskarsson, Eric Warrant, Petri...
EMMCVPR
1999
Springer
13 years 9 months ago
Maximum Likelihood Inference of 3D Structure from Image Sequences
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
Pedro M. Q. Aguiar, José M. F. Moura
CVPR
2007
IEEE
14 years 7 months ago
Inferring Temporal Order of Images From 3D Structure
In this paper, we describe a technique to temporally sort a collection of photos that span many years. By reasoning about persistence of visible structures, we show how this sorti...
Grant Schindler, Frank Dellaert, Sing Bing Kang
BMCBI
2010
182views more  BMCBI 2010»
13 years 5 months ago
Beyond co-localization: inferring spatial interactions between sub-cellular structures from microscopy images
Background: Sub-cellular structures interact in numerous direct and indirect ways in order to fulfill cellular functions. While direct molecular interactions crucially depend on s...
Jo A. Helmuth, Grégory Paul, Ivo F. Sbalzar...