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» Learning to Estimate Scenes from Images
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CVPR
2008
IEEE
14 years 9 months ago
Estimating camera response functions using probabilistic intensity similarity
We propose a method for estimating camera response functions using a probabilistic intensity similarity measure. The similarity measure represents the likelihood of two intensity ...
Jun Takamatsu, Yasuyuki Matsushita, Katsushi Ikeuc...
ECCV
2010
Springer
14 years 28 days ago
Compressive Acquisition of Dynamic Scenes
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 2 months ago
Learning 3-D object orientation from images
— We propose a learning algorithm for estimating the 3-D orientation of objects. Orientation learning is a difficult problem because the space of orientations is non-Euclidean, ...
Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng
IJCV
2007
157views more  IJCV 2007»
13 years 7 months ago
Recovering Surface Layout from an Image
Humans have an amazing ability to instantly grasp the overall 3D structure of a scene – ground orientation, relative positions of major landmarks, etc – even from a single ima...
Derek Hoiem, Alexei A. Efros, Martial Hebert